FAKULTAS TEKNOLOGI INDUSTRI The Faculty of...

FAKULTAS TEKNOLOGI INDUSTRI The Faculty of Industrial Technology

Program Studi Department

JURUSAN TEKNIK INDUSTRI Industrial Engineering

Jenjang Pendidikan Programme

PROGRAM PASCASARJANA (S2) Graduate Study (Master)

Kompetensi Lulusan

1. Perancang system 2. Pengelola dan pengendali sistem 3. Pengambil Keputusan 4. Pekerja kelompok 5. Enterpreneur

Graduate Competence

1. System designer 2. System manager and controler 3. Decision maker 4. Team worker 5. Enterpreneur

STRUKTUR KURIKULUM/COURSE STRUCTURE

MATRICULATION 1 Perancangan Sistem Kerja

Work Design 1

2 Riset Operasi & Aplikasi Komputer OR & Computer Application

1

3 Statistik dan Aplikasi Komputer Statistics and Computer Application

1

4 Perencanaan dan Pengendalian Produksi Dasar Basic Production Planning &Control

1

5 Sistem Manufaktur Manufacturing System

1

6 Pengantar Teknik Industri dan Soft Skills Intro to Industrial Engineering and Soft Skills

1

Jumlah sks/Total of credits 6 SEMESTER I

1 Statistik Industri Lanjut Advanced Industrial Statistics

2

2 Riset Operasi Lanjut Advanced Operations Research

3

3 Perencanaan dan Pengendalian Produksi Lanjut Advanced Production Planning & Control

3

4 Akuntansi Manajerial Managerial Accounting

2

Jumlah sks/Total of credits 10

SEMESTER IV 1 Tesis

Thesis 6


Course Title : Industrial Ergonomics and Safety No. Kode MK

Code Nama Mata Kuliah (MK)

Course Title Sks

Credits SEMESTER II

1 Aplikasi Ergonomi Industri Applied Industrial Engineering

3

2 Faktor Manusia dalam Perancangan & Pengembangan Produk Human Factors in Product Design & Development

3

3 Metodologi Penelitian Research Methodology

2

4 Pilihan 1 Elective Courses 1

2

Jumlah sks/Total of credits 10 SEMESTER III

1 Ergonomi Makro Macro-Ergonomics

2

2 Kesehatan & Keselamatan Industri Industrial Health and Safety Engineering

3

3 Seminar Proposal dan Review Jurnal Journal Review and Proposal Seminar

3


2


Course Title : Strategic Performance Management No. Kode MK


Course Title Sks

Credits SEMESTER II

1 Manajemen Strategi Strategic Management

3

2 Manajemen Pemasaran dan Hubungan Konsumen Marketing and Customer Relationship Management

3


2


2


1 Manajemen Performansi Performance Management

2

2 Financial Engginering Financial Engginering

3


3


2


Course Title : Quality and Manufacturing Management No. Kode MK


Course Title Sks

Credits SEMESTER II

1 Manajemen Kualitas Quality Management

3

2 Perancangan Sistem Manufaktur Manufacturing System Design

3


2


2


1 Teknik Keandalan Reliability Engineering

2

2 Sustainable Manufacturing Sustainable Manufacturing

3


3


2


Course Title : Industrial System Optimizations No. Kode MK


Course Title Sks

Credits SEMESTER II

1 Sistem Dinamik Dynamic System

3

2 Permodelan Sistem Optimasi Optimization System Modeling

3


2


2


1 Simulasi Diskrit Discrete Event Simulation

2

2 Data Mining untuk Bisnis Data Mining for Business

3


3


2


Course Title : Logistics and Supply Chain Management No. Kode MK


Course Title Sks

Credits SEMESTER II

1 Rekayasa Rantai Pasok Supply Chain Engineering

3

2 Perancangan Sistem Distribusi dan Transportasi Transportation and Distribution System Design

3


2


2


1 Teknologi Informasi dalam Rantai Pasok IT for Supply Chain

2

2 Manajemen Pengadaan dan Material Procurement and Material Management

3


3


2


MATA KULIAH/ COURSE TITLE

TI0920XX : Metodologi Penelitian TI0920XX : Research Methodology Credits: 2 Semester: I

TUJUAN PEMBELAJARAN/LEARNING OBJECTIVES

Mata kuliah ini didesain untuk memberikan pemahaman mengenai penelitian dan mengenalkan berbagai metode penelitian yang yang penting dalam bidang teknik industri. Tujuannya adalah membentuk dasar-dasar penelitian yang akan dilaksanakan oleh mahasiswa. Dengan ketrampilan dan pengetahuan yang diperoleh dari mata kuliah ini, mahasiswa disiapkan untuk mampu melaksanakan penelitiannya serta dapat menjadi knowledgable consumers bagi produk-produk penelitian ilmiah yang ada.

This course is designed to provide you with an understanding of research and an introduction to a range of essential research methods in industrial engineering. It forms the basis for all research that students will conduct. Skills developed and knowledge acquired from this course will prepare students to conduct their own research, as well as to be knowledgeable consumers of others' research.

KOMPETENSI/

COMPETENCY

� Intrapersonal dan communication skills � Ketrampilan memanfaatkan teknologi informasi � Penguasaan bahasa Inggirs dan/atau bahasa asing lainnya

� Intrapersonal and communication skills � Proficiency in ICT � Proficiency in English and or other language

POKOK BAHASAN/SUBJECTS

� Pengantar methodology penelitian, Student Centered Learning (SCL), berpikir kritis, Peer Review sebagai cara efektif dalam proses pembelajaran, pemahaman riset, dan motivasi penelitian.

� Penanganan isu-isu yang bersifat praktis dan konseptual, membedakan Tugas Akhir dan Thesis berdasarkan paradigma yang digunakan, memilih topik penelitian dan mencari literature, dan mind mapping.

� Berbagai topik yang berhubungan dengan studi pustaka, berbagai gaya penulisan daftar pustaka, penulisan alur argumen, referensi, pengaturan pustaka, dan pengenalan EndNote.

� Menentukan desain penelitian, macam-macam metode dalam penelitian, dan tutorial proposal penelitian.

� Penulisan proyek, hasil penelitian, paper, dan presentasi serta

bagaimana menyiapkan sebuah presentasi.

� Session I: Introduction to Research Methodology, Student Centered Learning (SCL), Critical Thinking, peer review as an effective method in learning process, understanding research, research motivation

� Dealing with practical issues and conceptual issues, distinguishing Final Projects and Thesis based on paradigm used, choosing a research topic and searching the literature, and mind mapping.

� All about literature review, styles in writing a literature review, write a flow of arguments, referencing, handling literatures, introduction to EndNote.

� Determining the research design, various methodologies in research, research proposal tutorial.

� Writing up the project, the result, a paper and all about presentation and how to prepare it.

PUSTAKA UTAMA/

REFERENCES

1. Hussey, J. and Hussey, R. (1997) Business Research: A Practical Guide for Undergraduate and Postgraduate Students, Macmillan Business, London.

2. Cooper, D. R. and Schindler, P. S. (2003), Business Research Methods, McGraw Hill, Singapore.

3. Sekaran, U. (2003) Research Methods for Business: A Skill Building Approach, John Wiley & Sons, USA.


TI0920XX : Perencananaan dan Pengendalian Produksi Lanjut TI0920XX : Advanced Production Planning and Control Credits: 2 Semester: I


Mata kuliah ini bertujuan membekali mahasiswa dengan konsep, metode, dan alat bantu dalam perencanaan dan pernjadwalan sumber daya untuk pemenuhan permintaan konsumen dengan biaya yang efektif. Materi yang dibahas meliputi perbedaan-perbedaan dalam sistem perencanaan produksi, teknik-teknik peramalan permintaan, perencanaan penjualan dan operasional, mengelola perencanaan kebutuhan material, mangelola pengadaan untuk permintaan independen, jadwal induk produksi, perencanaan kapasitas, penjadwalan dan urutan pekerjaan, aktifitas kontrol produksi, serta topik-topik lain yang relevan termasuk Just In Time, Theory of Constraint, dan sekilas tentang sistem Enterprise Resource Planning (ERP).

The objective of this course is to equip students with

concepts, methods, and tools in planning and scheduling of resources to satisfy demand from customers in a cost effective way. The subject covers such materials as differences in production planning systems, demand forecasting techniques, sales and operations planning, managing independent demand inventories, master production scheduling, material requirements planning, capacity planning, scheduling and sequencing of jobs, production activity control, as well as other relevant topics including just in time, theory of constraint, and overview of enterprise resources planning systems.

KOMPETENSI/COMPETENCY

� Keterampilan Manajerial � Intrapersonal dan communication skills � Perancang sistem

� Managerial skills � Intrapersonal and communication skills � System designer


� PengantarPerencanaan dan Pengendalian Produksi (PPC) dan PPC dalam konteks Supply Chain Management (SCM)

� Strategi manufaktur dan implikasinya pada PPC, dan kerangka PPC.

� Proses-proses dalam PPIC:peramalan permintaan, perencanaan operasi dan penjualan, jadwal induk produksi danbill of materials, pengendalian inventory untuk produk independen, MRP, perencanaan kapasitas (rough cut capacity planning and capacity requirement planning).

� Pengendalian aktifitas produksi (penjadwalan operasi, pengelolaan antrian, input/output kontrol)

� Teknik PPIC lainnya: JIT, TOC, peranan ERP.

� Introduction to Production Planning and Control (PPC) and PPC within the context of Supply Chain Management (SCM)

� Manufacturing strategy and its implications to PPC, PPC framework

� PPIC Processes: demand forecasting, sales and operations planning, master production schedule and bill of materials, inventory control for independent items, MRP, capacity planning (rough cut capacity planning and capacity requirement planning).

� Production activity control (operations scheduling,

queue management, input/output control) � Other PPIC techniques: JIT, TOC, the role of ERP.

PUSTAKA UTAMA/REFERENCES

1. Fogarty, D. W., Blackstone, J. H., and Hoffmann, T. R. (1991).Production and Inventory Management 2nd Ed., South Western Publishing.

2. Vollmann, T., Berry, W., Whybark, C., and Jacobs, R. (2005). Manufacturing Planning and Control Systems for Supply Chain Management Fifth Ed., McGraw-Hill.

3. Nahmias, S. (2000). Production and Operations Analysis, 4th Ed., McGraw-Hill/Irwin


TI0920XX : Statistik Industri Lanjut TI0920XX : Advanced Industrial Statistics Credits: 2 Semester: I


Memberikan pemahaman mengenai statistik multivariate, pengenalan teknik-teknik multivariate dan contoh aplikasi dalam memecahkan persoalan yang berkaitan dengan data dan eksperimen dimana variabel independent lebih dari satu.

To understand about multivariate statistics, to introduce multivariate techniques and example application in solving problems related with data and experiments of more than one independent variables.

KOMPETENSI/COMPETENCY

� Keterampilan memecahkan masalah � Keterampilan memanfaatkan teknologi informasi � Ketrampilan Sintesis, integrasi, dan perancangan

� Problem solving Skills � Proficiency in ICT � Synthesizing, integrating, and designing skills


� Intro Multivariate analysis � Simple LR, Anova, Multiple Linear Regression Model,

Logistics Regression � Data manipulation, Principal Components, Factor

analysis � Discrimination analysis � Clustering


� Applied Multivariate Techniques, subhash sharma, wiley and son

� Applied multivariate statistics, R Johson and D Wichern, Prentice Hall

� Statistics for engineers and scientist, Walpole


TI0920XX : Akuntansi Manajerial TI0920XX : Managerial Accounting Credits: 2 Semester: I

TUJUAN PEMBELAJARAN/ Learning Objective

Akuntansi Manajerial mengupas bagaimana melakukan akumulasi biaya yang terjadi dalam organisasi untuk menyediakan informasi bagi manajemen internal dalam pengambilan keputusan dan pengendalian biaya. Tujuan kuliah ini adalah memberikan untuk memberikan pengetahuan dan ketrampilan bagi mahasiswa untuk memahami konsep-konsep maupun model-model dalam akuntansi manajerial serta aplikasinya di dalam kasus nyata.

Managerial Accounting discusses in depth on how to perform costs accumulation involved within an organization to provide information for internal management as decision-making and cost control tool. The course aims to provide students with understanding of concepts and models in managerial accounting and their application in real problems.

KOMPETENSI/ Competencies

� Keterampilan manajerial � Keterampilan memanfaatkan teknologi informasi � Ketrampilan Sintesis, integrasi, dan perancangan

� Managerial Skills � Proficiency in ICT � Synthesizing, integrating, and designing skills

Pokok Bahasan/ Subject

� Pengantar Akuntansi Managerial, konsep dan klasifikasi biaya � Sistem pembebanan biaya berdasarkan pesanan, sistem

pembebanan biaya berdasar proses, sistem pembebanan biaya berdasar aktifitas.

� Manajemen berbasis aktifitas dan Sistem anggaran berbasis aktifitas.

� Analisis aktifitas, perilaku dan estimasi biaya, analisis titik impas, penetapan biaya standard dan analisis variannya, sistem anggaran flexible dan analisis variannya.

� Akuntansi pertanggungjawaban, desentralisasi, penetapan harga transfer.

� Introduction to Managerial Accounting, cost classification and concept

� Job order costing, process costing, activity based costing. � Activity Based Management and Activity Based Budgeting. � Activity analysis, behaviour and cost estimation, Break Even Point,

standard cost determination and variance analysis, flexible budgeting system and variance analysis.

� Accounting reporting, decentralization, transfer price determination.

Referensi/ References

1. Hilton, “Managerial Accounting”, 5th, McGraw Hill, 2008 2. Mowen, H., “Management Accounting”, 2008 3. Gray & Rickets, “Cost & Managerial Accounting”, McGraw Hill, 1982


TI0920XX : Penelitian Operasional Lanjut TI0920XX : Advanced Operations Research Credits: 3 Semester: I


Mata kuliah ini bertujuan mengenalkan konsep dasar dan metode penyelesaian permasalahan persamaan linear, pemrograman linear serta aplikasi-aplikasi programa linear dalam permasalahan transportasi, penugasan, dan Network Flows Problem. Mahasiswa diarahkan untuk mampu menghitung, menerapkan serta memiliki ketrampilan memecahkan masalah dengan memanfaatkan software yang berkaitan dengan masalah-masalah tersebut.

The course aims to introduce the basic concepts and solving methods of linear linear equations, linear programming and its applications on the transportation, assignment, and Network Flows Problem. It builds students’ capability to compute, apply, and to have proficiency in

solving such problems using software application.


� Keterampilan memecahkan masalah � Keterampilan memanfaatkan teknologi informasi � Ketrampilan sintesis, integrasi dan perancangan

� Problem solving skills � Proficiency in ICT � Synthesizing, integrating, and designing skills


� Pengantar permodelan yang bersifat deterministik: Linear Programming, konsep matriks dan vektor.

� Metode penyelesaian: metode grafis, metode simplex � Teori Duality � Aplikasi linear programming dalam transportasi, penugasan dan

Network Problems: Maximal Flow Problem, Minimum spanning tree, Shortest path problem, minimum cost flow

� Linear programming tingkat lanjut

� Introduction to deterministic modeling: Linear Programming, matrix and vector concepts.

� Solving methods: graphical method, simplex method � Duality theorem � Linear Programming applications in transportation, assignment,

and network problems: Maximum flow problem, minimum spanning tree, shortest path problem, minimum cost flow.

� Advanced linear programming


1. Winston, Wayne, L. (2004). Operations Research: Applications and Algorithms. Thomson Learning, Inc. 4th Edition.

2. Taha, Hamdy, A. (2003). Operations Research: An Introduction. Prentice Hall Education, 7th edition.

3. Hillier, F. S. And G. J. Lieberman (2002). Introduction to Operations Reserach. McGraw-Hill.

4. Bazaraa, Mokhtar S. Linear Programming and Network Flows. John Wiley & Sons Inc, 3rd Edition.

5. Ravindran and Philips, Don T., (2000). Operations Research: Principles and Practice. John Wiley.


TI0920XX : Aplikasi Ergonomi Industri TI0920XX : Applied Industrial Ergonomics Credits: 3

Semester: II

TUJUAN PEMBELAJARAN/

LEARNING OBJECTIVES

Aplikasi Ergonomi Industri membahas tentang aspek-aspek kemampuan, potensi, dan keterbatasan manusia dalam berinteraksi dengan sistem kerjanya. Juga dibahas dalam mata kuliah ini, implementasi prinsip-prinsip Ergonomi di dalam aplikasi industri.

Applied Industrial Ergonomics discusses about human aspects in terms of capabilities, potentials, and limitations when interacting with their working system. Also discussed in this course, the implementation of ergonomics principles in industrial applications.

KOMPETENSI/

COMPETENCY

� Ketrampilan Sintesis, integrasi, dan perancangan � Perancang sistem � Keterampilan manajerial

� Synthesizing, integrating, and designing skills � System designer � Managerial skills

POKOK BAHASAN/

SUBJECTS

� Dasar-dasar ergonomi dan perkembangan kedepannya. � Human centered/integrated design, prinsip-prinsip ergonomi

dalam aplikasi industri, antropometri teknik, keletihan dan daya tahan (cardiovascular), Biomekanik kerja.

� Model manipulatif (kinesiology), model berbasis lingkungan (eksternal), model kognitif (pikiran).

� Interaksi manusia komputer/ usability analysis. � Ergonomi informasi.

� Basic ergonomics and future development. � Human centered/ integrated design, Ergonomics principles in

industrial application, engineering anthropometry, fatigue and endurance (cardiovascular), and Biomechanics of Work.

� Manipulative model (kinesiology), environmental model (external), cognitive model (thought).

� Human computer interaction/ usability analysis � Information Ergonomics.

PUSTAKA UTAMA/

1. Konz, Stephan. Work Design: Industrial Ergonomics. Scottsdale, Arizona: Publishing Horizons, Inc., 1995.

2. Lehto, M. R and Buck, J.R. Intoduction to Human Factors and Ergonomics for Engineers. New York, 2008.

3. Stanton, N., Hedge, A., Brookhuis, K., Salas, E., and Hendrick, H. Handbook of Human Factors and Ergonomics Methods. CRC Press, 2005.

REFERENCES 4. Tayyari, Fariborz and Smith, James L. Occupational Ergonomics:Principles and Applications. London : Chapman & Hall, 1997

5. Granjean, E. Fitting the Task to the Man: an Ergonomic Approach. London: Taylor & Fabrics Ltd., 1982.

6. Huchingson, Dale R. New Horizons for Human Factors in Design. New York:McGraw-Hill Book company, 1981.

7. Pulat, B. Mustafa. Fundamentals of Industrial Ergonomics. Englewood Cliffs, N.J.: Prentice-Hall, 1992.

8. Sanders, M.S. and McCormick, E.J. Human Factors in Engineering and Design. New York: McGraw-Hill Inc., 1992.


TI0920XX : Faktor Manusia dalam Perancangan &Pengembangan Produk

TI0920XX : Human Factors in Product Design & Development Credits: 3 Semester: II


LEARNING OBJECTIVES

Manusia sebagai pengkonsumsi produk merupakan faktor paling penting dalam perancangan produk. Mata kuliah ini bertujuan untuk memberikan pemahaman mengenai bagaimana merancang produk dengan mempertimbangkan faktor manusia baik secara kognitif maupun psikomotorik. Akan dibahas pula tentang bagaimana mengidentifikasi peluang-peluang pengembangan produk inovatif, menerjemahkan perilaku konsumen dalam Voice of Customer dan mentransformasikannya dalam wujud produk jadi, serta memahami trade off antara biaya dan kualitas dalam spesifikasi produk.

Human being as the products consumer is the most important factor of product design. The course aims to deliver understanding on how to design industrial product by considering human factors, including cognitive and psychomotoric. It also provides students with techniques to identify opportunities of innovative product development, to translate customers’ behaviour into Voice of Customer and transform it into a finished product, as well as to understand the trade off function of cost and quality in product spesification.

KOMPETENSI/

COMPETENCY


� Synthesizing, integrating, and designing skills � System designer

� Managerial skills

POKOK BAHASAN/

SUBJECTS

� Pengertian produk industri dan perancangan produk baru. � Perilaku manusia dan perancangan produk, desain ergonomi

dalam perancangan produk, dan Kansei engineering sebagai strategi pengembangan produk berbasis ergonomi.

� Ethnography: observasi perilaku dan kebutuhan tersembunyi konsumen, Quality Function Deployment (QFD).

� Fase-fase perancangan produk: - Fase 0: Perencanaan produk - Fase 1: Pengembangan konsep dan inovasi - Fase 2: Perancangan tingkatan sistem - Fase 3: Perancangan detail produk - Fase 4: prototyping - Fase 5: Pengujian dan perbaikan

� Studi kasus.

� Industrial product definition and new product design. � Human behaviour and product design, ergonomic design in

product design, Kansei engineering as an ergonomic based strategy in product development.

� Ethnography: behaviour observation and hidden needs of customers.

� Phases in product design: - Phase 0: Product planning - Phase 1: Innovation and concept development - Phase 2: Design of system detail - Phase 3: Design of product detail - Phase 4: prototyping - Phase 5: Testing and evaluating

� Case studies.

PUSTAKA UTAMA/

REFERENCES

1. Ulrich, K.T. and Eppinger, S.D. Product Design and Development. New York: McGraw-Hill, Inc., 2000.

2. Loch, C. and Kavadias, S. (2008) Handbook of New Product Development Management. Elsevier

3. Annacchino, M. (2003) New Product Development From Initial Idea to Product Management. Elsevier. ISBN : 0750677325

4. Cross, Nigel. Engineering Design Methods: Strategies for Product Design. New York; John Wiley & Sons, 1996.

5. Roozenburg, NFM and J. Eekels. Product Design: Fundamentals and Methods. Chicester: John Wiley & Sons, 1995.

6. Urban, Glen L. and John R. Hauser. Design and Marketing of New Products. Englewood Cliffs, NJ : Prentice-Hall Inc., 1993.

7. Wright, Ian. Design Methods in Engineering and Product Design.

London: McGraw-Hill Co., 1998.


TI0920XX : Ergonomi Makro TI0920XX : Macro Ergonomics Credits: 2 Semester: III


Mata kuliah ini juga disebut socio-technical study, mempelajari interface antara manusia dan teknologi. Misalnya studi tentang dampak teknologi terhadap hubungan sosial dan organisasi. Tujuan dari mata kuliah ini adalah menciptakan suatu sistem kerja yang harmonis sehingga berdampak pada peningkatan produktivitas, kepuasan kerja, kesehatan dan keselamatan kerja, dan komitmen pegawai.

Also called socio-technical study, this course studies the interface between society and technology. For example the study of the impacts of technology for social relationships and institution. It aims to create fully harmonized work system, which result in improved productivity, job satisfaction, health & safety, and employee commitment.


� Perancang sistem � Keterampilan memanfaatkan teknologi informasi � Ketrampilan Sintesis, integrasi, dan perancangan

� System designer � Proficiency in ICT � Synthesizing, integrating, and designing skills


� Pengantar ergonomi makro � Konsep pemodelan sistem dan Simulasi sistem dinamik,

Participatory concept and The Team � Analisa system kerja dengan SAT (System Analysis Tool) dan MAS

(Macroergonomics Analysis of Structure) � Klaster Industri sebagai contoh studi kasus Ergonomi Makro � Macroergonomics methods:

- Macroergonomics Organizational Questionnaire Survey (MOQS) - HITOP Analysis (High Integration of Technology, Organization,

and People) - The CIMOP system (Computer Integrated Manufacturing,

Organization, and People) - Anthropotechnology; terdiri atas: physical anthropology/ body

dimension, cultural anthropology/ value system, cognitive anthropology/ cognitive model.

- Macroergonomic Analysis dan Design (MEAD) - TOP – Modeler

� Introduction to Macro Ergonomics � System modeling conceptand Dynamics System Simulation,

Participatory concept and The Team � Work System Analysis using SAT (System Analysis Tool) and MAS

(Macroergonomics Analysis of Structure) � Industrial cluster as a case study of Macro Ergonomics � Macroergonomics methods:

- Macroergonomics Organizational Questionnaire Survey (MOQS) - HITOP Analysis (High Integration of Technology, Organization,

and People) - The CIMOP system (Computer Integrated Manufacturing,

Organization, and People) - Anthropotechnology; terdiri atas: physical anthropology/ body

dimension, cultural anthropology/ value system, and cognitive anthropology/ cognitive model.

- Macroergonomic Analysis dan Design (MEAD) - TOP – Modeler


1. Lehto, M. R. et al (2008) Introduction and Human Factors and Ergonomics for Engineers.

2. Lewis, G. (2006) Organizational Crisis Management, The Human Factor. Auerbach Publications

3. Pierre, M., et al (2008) Crisis Management in Acute Care Settings. Human Factors and Team Psychology in a High Stakes Environment.

4. Stanton, N., et al (2005) Handbook of Human Factors and Ergonomics Method. CRC Press.


TI0920XX : Sistem Kesehatan dan Keselamatan Kerja TI0920XX : Industrial Safety and Health Engineering Credits: 3 Semester: III


LEARNING

Mata kuliah ini bertujuan untuk memberikan pemahaman mengenai standard dan prosedur K3 dalam industri, mengidentifikasi resiko kerja, menangani resiko potensial dan merancang langkah penanggulangan. Mata kuliah ini memberikan kemampuan untuk merancang sebuah sistem K3.

This course is designed to provide students with understanding of

OBJECTIVES standards and prosedures of health and safety environment, work risk identification, how to handle potential risks and preventive actions in dealing with such risks. It builds students’ skills to design a safety management system.

KOMPETENSI/

COMPETENCY

� Kemampuan mengakomodasikan isu lingkungan dan keberlanjutan

� Perancang sistem � Keterampilan manajerial

� Ability to accommodate environmental issues & sustainabilities � System designer � Managerial skills

POKOK BAHASAN/

SUBJECTS

� Sistem manajemen K3 � Kerugian akibat kecelakaan dan efek domino, bahaya dan

bagaimana mengontrol bahaya, sumber-sumber bahaya. � Keandalan manusia, analisa K3, kajian resiko K3. � Peringatan dini dan evakuasi � K3 dan system informasi, permodelan dan simulasi K3, K3 dalam

transportasi.

� Safety Management System � Accident Losses and The Domino Effects, Hazards and how to

control, source of hazards. � Human Reliability, Safety Analysis, Safety Risk Assessment � Early warning system and evacuation � Safety and information system, safety modeling and simulation,

safety in transportation.


1. Asfahl, C.Ray. (1999). Industrial Safety and Health Management, fourth edition. Prentice Hall, New Jersey.

2. Hammer, Willie & Price, Dennis. (2001).Occupational Safety Management and Engineering, fifth edition. Prentice Hall, New Jersey.


TI0920XX : Manajemen Strategi TI0920XX : Strategic Management Credits: 3 Semester: II

Mata kuliah memberikan pemahaman mengenai kumpulan gagasan-gagasan dalam manajemen strategi, mengeksplorasi kekuatan dan kelemahan dari tiap gagasan tersebut, serta memahami model


LEARNING OBJECTIVES

terbaru yang diimplementasikan dalam perancangan strategi korporasi. Mata kuliah ini akan menggali lebih dalam kumpulan gagasan-gagasan yang ada tersebut, termasuk asumsi yang digunakan, model, kekuatan, kelemahan dan implementasinya.

The course provides students with understanding of various thoughts in strategic management. It explores the strengths and weaknesses of each thought, and understand the latest models implemented in corporate strategic design. Through this course, students will learn that school of thought, including base assumptions, models, strengths, weaknesses, and the implementation.

KOMPETENSI/

COMPETENCY

� Keterampilan sintesis, integrasi, dan perancangan � Keterampilan manajerial � Ketrampilan memecahkan masalah

� Synthesizing, integrating, and designing skills � Managerial skills � Problem solving skills

POKOK BAHASAN/

SUBJECTS

� Pengantar manajemen strategi, perumusan visi dan misi. � Formulasi strategi: kajian lingkungan eksternal dan internal � Strategi generic, fitting strategy, perencanaan strategis. � Model manajemen strategi saat ini, strategi Blue Ocean. � Implementasi dan evaluasi strategi.

� Introduction to strategic management, vision and mission formulation.

� Strategic formulation: external and internal factor evaluation. � Strategy generic, fitting strategy, and strategic planning. � Current models of strategic management, and Blue Ocean

strategy. � Strategy implementation and evaluation.

PUSTAKA UTAMA/

REFERENCES

1. Strategic Management: Davids 2. Strategic Management: Thompson 3. Strategy Safari : Mintzberg 4. Strategy Focus Organization: Kaplan and Norton 5. The discipline of market leader : Tracy and Wiersema 6. Blue ocean strategy: Chan Kim and Mauborgne


TI0920XX : Man. Pemasaran dan Customer Relationship TI0920XX : Marketing and Customer Relationship Man.

Credits: 3 Semester: II


LEARNING OBJECTIVES

Mata kuliah ini mengajarkan tentang proses dasar dalam management pemasaran produk/jasa yang meliputi proses segmentasi, targetting, positioning (STP), konsep mix marketing, strategi harga dan strategi pemasaran produk dalam setiap tahapan siklus hidup maupun untuk pengembangan produk baru. Selain itu, mata kuliah ini membahas tentang konsep bagaimana memuaskan konsumen dan membuat program loyalitas dan retensi konsumen dengan strategi CRM yang berbasis konsep “new wave marketing”.

The course provides student with knowledge and understanding basic process in product/services marketing management in which includes: segmentation process, targeting, positioning, mix marketing concepts, pricing strategy and product marketing strategy in each stage of life cycle for new product development. Also discussed in this course are the concept of how to deliver customers’ satisfaction with customer relationships and marketing strategy of which based on “new wave marketing”.

KOMPETENSI/

COMPETENCY

� Keterampilan sintesis, integrasi, dan perancangan � Keterampilan manajerial � Intrapersonal dan kemampuan berkomunikasi

� Synthesizing, integrating, and designing skills � Managerial skills � Intrapersonal and communication skills

POKOK BAHASAN/

SUBJECTS

� Pengantar manajemen pemasaran � Proses segmentasi, targetting, dan penempatan produk (STP), dan

penerjemahan STP dalam strategi mix marketing. � Perilaku konsumen, mengukur kepuasan konsumen. � Pengantar Customer Relations and Marketing (CRM) dan

hubungannya dengan ERP � Dasar-dasar e-mail dan strategi pemasaran berbasis web.

� Introduction to marketing management � Segmentation, targeting, and positioning process (STP), and STP

interpretation into mix marketing strategy. � Customer behavior, measuring customer satisfaction � Introduction to CRM and its relationship with ERP � Basic concepts of e-mail and web marketing strategy.

PUSTAKA 1. Kotler, Phillips (2000). Marketing Management, milenium

UTAMA/

REFERENCES

edition, PHI. 2. Al Ries, Jack Trout (1989). Bottom-Up Marketing, Mc. Graw Hill

International Editions marketing Series.


TI0920XX : Manajemen Performansi TI0920XX : Performance Management Credits: 2 Semester: III


LEARNING OBJECTIVES

Mata kuliah ini memberikan pemahaman mengenai konsep-konsep sistem manajemen pengukuran kinerja. Mata kuliah ini juga membangun kemampuan mahasiswa dalam perancangan sistem pengukuran kinerja terintegrasi yang seharusnya tidak hanya mempertimbangkan aspek finansial saja, tetapi juga aspek-aspek non finansial seperti kualitas, inovasi, konsumen, dan keandalan operasional, yang dipercaya juga turut meningkatkan profitabilitas, market share, dan operasi yang efektif dalam suatu perusahaan.

This course enables students to understand the concepts of performance management system. It builds students’ skills in designing integrated performance measurement system, that should consider not only financial aspects, but also non financial aspects such as quality, innovation, customers, and operations reliability. Those aspects are believed, to support the increase of profitability, market share, and effective operation of a company.

KOMPETENSI/

COMPETENCY


� Synthesizing, integrating, and designing skills � System designer � Managerial skills

POKOK BAHASAN/

� Pengantar manajemen performansi � Konsep manajemen performansi dan model-model pengukuran

kinerja � Konsolidasi indikator kinerja, integrasi sistem pengukuran kinerja

perusahaan dan sistem pengukuran kinerja karyawan. � Penetapan target, dan perangkat lunak performance

management. � Sistem pengukuran kinerja untuk organisasi non profit, sistem

pengukuran kinerja untuk rantai pasok, dan sistem pengukuran

SUBJECTS

kinerja untuk klaster industri.

� Introduction to performance management. � Performance management concepts and performance

measurement models. � Work indicator measurement, integrating corporate performance

measurement and employee performance measurement. � Target setting, and performance management software. � Performance measurement system for non-profit organization,

performance measurement system for supply chain, and performance meaurement system for industrial cluster.

PUSTAKA UTAMA/ REFERENCES

1. Balanced Scorecard : Kaplan and Norton 2. Strategic Focused Organization : Thompson 3. Performance Measurement Questionnaire: Nanni et al


TI0920XX : Financial Engineering TI0920XX : Financial Engineering Credits: 3 Semester: III


LEARNING OBJECTIVES

Financial engineering merupakan multidisiplin yang mencakup teori finansial, metode-metode engineering, matematika, dan praktek pemrograman komputer. Mata kuliah ini dirancang sebagai pengenalan terhadap teori financial engineering dan aplikasinya yang berfokus pada prinsip-prinsip keuangan korporasi dan ilmu investasi seperti cash flow stream, risk aversion, pricing of firms dan instrumen-instrumen keuangan, interest rate term structure, fixed income instruments duration, bond portfolio immunization, dan teori portfolio the Markowitz mean variance.

Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics, and the practice of programming. The course aims to introduce the theory of financial engineering and its applications which focus on the principles of corporate finance and investment science such as cash flow stream, risk aversion, pricing of the firms and finance instruments, interest rate term structure, fixed income instruments duration, bond portfolio immunization, and the Markowitz mean-variance portofolio theory.

KOMPETENSI/

� Ketrampilan sintesis, integrasi, dan perancangan � Perancang sistem � Keterampilan manajerial

COMPETENCY � Synthesizing, integrating, and designing skills � System designer � Managerial skills

POKOK BAHASAN/

SUBJECTS

� Keuangan dan financial engineering � Investasi dan sumber pendanaan, prinsip bunga, nilai saat ini dan

nilai masa depan stream, internal rate of return, cost of capital, dan teknik dasar membangun model finansial.

� Aplikasi: capital budgeting, optimal portfolios, dynamic cash flow processes, optimal management, the harmony theorem, evaluation of a firm.

� Pengembalian aset, variable random, pengembalian random, portfolio rataan dan variansi, the feasible set, model Markowitz, the two fund theorem, inclusion of risk free asset, the one-fund theorem

� Model capital asset pricing.

� Finance and financial engineering � Investment and funding sources, the principle of interest, present

and future value of streams, internal rate of return, cost of capital, and the basic techniques to build financial model.

� Application: capital budgeting, optimal portfolios, dynamic cash flow processes, optimal management, the harmony theorem, evaluation of a firm.

� Asset returns, random variables, random returns, mean and variance portfolio, the feasible set, the Markowitz model, the two fund theorem, inclusion of risk free asset, and the one-fund theorem

� Capital asset pricing model.

PUSTAKA UTAMA/

REFERENCES

1. Beamont, P. H. (2004). Financial Engineering Principles. New Jersey, John Wiley & Sons.

2. Brealey, R. A., S. C. Myers, et al. (2008). Corporate Finance. New York, Mc Graw Hill Book Publisher.

3. Gunarta, I. K. (2008). Financial Modelling dengan Menggunakan Excel dan Crystal Ball. Surabaya, Jurusan Teknik Industri.

4. Gunarta, I. K. (2008). Financial Model: Panduan untuk Membangun dan Mengintepretasikan Laporan Keuangan. Surabaya, Jurusan Teknik Industri ITS.


TI0920XX : Sustainable Manufacturing TI0920XX : Sustainable Manufacturing Credits: 3 Semester: II


LEARNING OBJECTIVES

Mata kuliah ini didesain untuk memberikan pemahaman kepada mahasiswa mengenai isu-isu sustainabilty, konsep dan ruang lingkup dari Sustainable Manufacturing (SM), strategi-strategi dalam SM, dan alat-alat yang biasa digunakan dalam SM. Saat ini, mengintegrasikan sustainability ke dalam bisnis proses akan manambah total kinerja bisnis dan daya saing. Ketrampilan dan pengetahuan yang diperoleh dari mata kuliah ini akan mempersiapkan mahasiswa untuk menjadi sarjana teknik yang sadar lingkungan dan peka terhadap permasalahan lingkungan serta mampu memecahkan masalah-masalah tersebut dan meningkatkan kinerja industri.

This course is designed to provide students with an understanding of sustainability issues, the concepts and the scope of SM, the strategies in SM, the management approaches in SM, and tools commonly used in SM. In the current situation, integrating sustainability into business process will enhance business’s total performance and competitiveness. Skills developed and knowledge acquired from this course will prepare students to be environmentally conscious engineers who are sensitive to environmentally related problems and capable to solve those problems and enhance total performance of industries.

KOMPETENSI/

COMPETENCY

� Kemampuan mengakomodasikan isu lingkungan dan keberlanjutan

� Perancang sistem � Keterampilan manajerial

� Ability to accommodate environmental issues & sustainabilities � System designer � Managerial skills

POKOK BAHASAN/

� Pengantar Sustainability, global warming dan permasalahan lingkungan lainnya, isu-isu sustainability makro

� Konsep-konsep Sustainable Manufacturing, ruang lingkup, strategi dan regulasi yang berhubungan dengan Sustainable Manufacturing.

� Life Cycle Management (LCM), Life Cycle Engineering (LCE): Desain untuk Lingkungan, Desain untuk Manufaktur, dan Desain untuk Perakitan.

� Life Cycle Assessment (LCA), and Life Cycle Costing (LCC), Product Data Management (PDM, Technical Support

� Upgrading, penggunaan ulang, manufaktur ulang, dan daur ulang.

� Introduction to Sustainability, global warming & other environmental problems, macro sustainability issues.

SUBJECTS

� Concepts of sustainable manufacturing, scope of sustainable manufacturing, strategies of sustainable manufacturing, regulations related to sustainable manufacturing.

� Life Cycle Management (LCM), Life Cycle Engineering (LCE): Design for Environment, Design for Manufacturing, and Design for Assembly.

� Life Cycle Assessment (LCA), and Life Cycle Costing (LCC), Product Data Management (PDM, Technical Support

� Upgrading, Reuse, Remanufacturing, Recycling.

PUSTAKA UTAMA/

REFERENCES

1. Billatos, S.B. and Basaly, N.A. (1997) Green Technology and Design for the Environment, Taylor & Francis

2. Curran, M.A. (1996) Environmental Life-Cycle Assessment, McGraw-Hill

3. Fiksel, J. (1997) Design for Environment – Creating Eco – Efficient Products andProcesses, McGraw Hill

4. Hines, P. and Taylor, D. (2000) Going Lean, Lean Enterprise Research Centre, UK.

5. Steinhilper, R. (1998) Remanufacturing: The Ultimate Form of Recycling, Fraunhofer IRB Verlag, Stuttgart

6. Proceeding of CIRP International Seminar on Life Cycle Engineering, 1994 – 2008


TI0920XX : Permodelan Sistem Optimasi TI0920XX :Optimization System Modeling Credits: 3 Semester: II

TUJUAN PEMBELAJARAN/ Learning Objectives

Tujuan dari mata kuliah ini adalah memberikan pemahaman teknik-teknik metaheuristic untuk menyelesaikan masalah optimasi.

The course aims to provide students with understanding metaheuristics techniques to solve optimization problems.


� Keterampilan memecahkan masalah � Keterampilan memanfaatkan teknologi informasi � Ketrampilan analisis

� Problem solving skills � Proficiency in ICT � Analytical skills

Pokok Bahasan/ � Pendahuluan metaheuristic

Subject

� Metaheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Particle Swarm, Ant Colony Optimization, Harmony Search algorithm dan aplikasi-aplikasinya.

� Introduction to Metaheuristics � Metaheuristics: Genetic Algorithm, Simulated Annealing, Tabu

Search, Particle Swarm, Ant Colony Optimization, Harmony Search algorithm and their applications.


1. J. Dreo A. Petrowski,P. Siarry E. Taillard,Metaheuristics for Hard Optimization, Methods and Case Studies, springer

2. Karl F. Doerne,Metaheuristics Progress in Complex Systems optimization, springer.

3. Fred Glover, Gary A. Kochenberger, HANDBOOK OF METAHEURISTICS, Kluwer


TI0920XX : Sistem Dinamik TI0920XX : Dinamic System Credits: 3 Semester: II


Memberikan perspektif pendekatan metodologi Sistem Dinamik dalam memecahkan permasalahan sistem yang kompeks, membangun kemampuan memodelkan permasalahan-permasalahan kompleks, mensimulasikan model, memvalidasi model, menganalisa dan membuat skenario kebijakan yang sesuai dengan tujuan system. Mata kuliah ini juga memberikan kemampuan untuk melihat sebuah permasalahan secara menyeluruh sehingga dapat melahirkan kebijakan-kebijakan dalam melakukan penyikapan atas permasalahan kompleks tersebut. To give an overview of Dynamic System approach methods in solving system complex problems, to develop students’ ability to model complex problems, simulate the models, validate the models, to analyze and to develop improvement scenarios related to the system purpose. It also provides students with practices on how to view a problem comprehensively in taking actions regarding the complex problem.


� Keterampilan memecahkan masalah � Perancang Sistem � Ketrampilan Sintesis, integrasi, dan perancangan

� Problem solving skills � System designer � Syntetical, integrating, and designing skills


� Konsep dasar metodologi Sistem Dinamik: pengenalan dalam

berpikir sistem dan proses permodelannya, struktur dan perilaku sistem dinamik.

� Batasan sistem, diagram sebab akibat: struktur dan perilaku dalam sistem umpan balik positif-negatif tunggal, struktur dan perilaku dalam umpan balik positif-negatif jamak.

� Menganalisa masalah-masalah sederhana, pengenalan simulasi: konsep aliran materi dan informasi, persamaan level, persamaan rate, auxiliary, konstanta/parameter dan multiplier.

� Pengenalan konsep delay material dan informasi dalam sistem, konsep pulse dan step, konsep fungsi, konsep smoothing.

� Pendekatan sistem dinamik dalam analisa perancangan dan kebijakan

� Validasi model sistem dinamik, skenario kebijakan, dan analisa sensitivitas.

� Basic concepts of Dinamic System methodology: introduction in system thinking and modeling process, structure and dinamic system behaviour.

� System boundary, causal loop diagram: structure and behaviour in single multiple positive and negative feedback loop.

� Simple problems analysis, simulation introductory: material and information flow concepts, level equation, rate equation, auxiliary, constants/parameters and multiplier.

� Introduction to the concept of material and information delay in a system, pulse and step concepts, function concepts, smooting concepts.

� Dinamic system approach in analyzing design and policies. � Validation of dynamic system models, policies scenario, and

sensitivity analysis.


� John D. Sterman : Business Dinamics : Systems Thinking and Modeling for Complex World.

� Leslie A. Martin : Beginner Modeling Exercises, MIT System Dynamics in Education Project Under the Supervision of Dr. Jay W. Forrester. September 5, 1997

� Joseph G. Whelan : Modeling Exercises I, MIT System Dynamics Education Project Under the Supervision of Dr. Jay W. Forrester, May, 1994

� Joseph G. Whelan revised by Lucia Breierova, Modeling Exercises II, MIT System Dynamics Education Project Under the Supervision of

Dr. Jay W. Forrester January 13, 1997 � Jay W. Forrester, System Dynamics, Systems Thinking, and Soft OR,

Sloan School of MIT, August 18, 1992.

� Bell, J.A., and Senge, P.M. Enhancing refutability. In: Legasto, A.A. Jr.; Forrester, M.W.; and Lyneis, T.M., eds. System Dynamics . Elsevier North-Holland, 1980


TI0920XX : Data Mining untuk Bisnis TI0920XX : Data Mining for Business Credits: 3 Semester: III


Membahas teknik-teknik dalam data mining,kasus-kasus di mana data mining bisa diterapkan, mengenalkan pemakaian software untuk implementasi. Tujuan mengenalkan teknik-teknik data mining untuk prediksi, klasifikasi dan clustering, penghitungan dan penerapan untuk bidang perbankan, telekomunikasi dan marketing dengan menggunakan software.

The course aims to discuss about data mining techniques and cases in which data mining can be applied, as well as to introduce the use of software for data mining application. Data mining techniques provides a prediction, classification and clustering, which can be applied in banking, telecommunication, and marketing with the help of software.





� Pendahuluan, data preprocessing. � Pengklusteran dan analisis diskriminan. � Neural network, decision tree, support vector machine. � Heuristic dalam data mining � Kernel data mining.

� Introduction and data preprocessing � Clustering and discriminants analysis � Neural network, decision tree, support vector machine. � Heuristics in data mining � Data mining Kernel


� Intro to business data mining, David olson, Yong shi � Data Mining teknik pemanfaatan data untuk keperluan bisnis,budi

santosa, Graha Ilmu2007 � Data Mining Terapan dengan matlab (budi santosa, 2007), Graha

Ilmu � Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach,

Vipin Kumar , Prentice Hall � Advanced data Mining Techniques, David L. Olson Dursun Delen,

e-book � Mastering data Mining, the art and science of CRM (Michael J

Berry, Gordon S


TI0920XX : Supply Chain Engineering TI0920XX : Supply Chain Engineering Credits : 3 Semester: II


Supply chain engineering terkait dengan analisis dan perancangan sistem aliran material dan informasi di sepanjang supply chain untuk menciptakan utilitas waktu dan tempat secara efisien. Mata kuliah ini bertujuan untuk memberikan keterampilan analisis dan perancangan jaringan supply chain pada tingkat menengah sampai lanjut.

Supply chain engineering is highly related to the material and information flow system and design in a supply chain to efficiently utilize time and space. This course aims to form students’ skills in designing and analyzing supply chain network in medium and advanced stages.


� Keterampilan sintesis, integrasi, dan perancangan � Keterampilan manajerial � Keterampilan dalam perancangan sistem

� Synthetizing, integrating, and designing skills � Managerial skills � System designer


� Pengantar supply chain engineering � Aspek-aspek strategi dan design dalam supply chain (efficiency vs.

responsiveness, postponement, modularity, commonality) � Inventory pooling effect pada perancangan jaringan, manajemen

inventory terintegrasi untuk smooth demand � Manajemen permintaan, pricing/revenue management � Closed loop supply chain, manajemen suplai, dan contract dalam

rantai pasok.

� Introduction to supply chain engineering. � Strategic aspects and designing in supply chain (efficiency vs.

Responsiveness, postponement, modularity, commonality). � Inventory pooling effects in a network design, integrated inventory

management for smooth demand. � Demand management, pricing/revenue management. � Closed loop supply chain, supply management, and contracts in

supply chain.


1. Chopra, S., and Meindl, P. (2007). Supply chain management: Strategy, planning, and operations, 3rd Edition. New Jersey - Prentice-Hall.

2. Simchi-Levi, D., Kaminski, P., and Simchi-Levi, E. (2000). Designing and managing the supply chain: Concept, strategies, and case studies. Irwin McGraw-Hill.


TI0920XX : Manajemen Material dan Pengadaan TI0920XX : Procurement and Material Management Credits: 3 Semester: III


LEARNING

Procurement & material Management mencakup materi yang terkait dengan pengadaan material dan manajemen material dari supplier sampai dengan di dalam proses produksi. Aktifitas meliputi perencanaan pengadaan material dan teknik-teknik perencanaan pengadaan. Metode-metode pemilihan dan evaluasi supplier. Tujuan mata kuliah ini adalah untuk memperdalam konsep pengadaan dan manajemen material dan model-model yang terkait dengan masalah tersebut. Dan membahas studi kasus dari journal-journal yang relevan.

The course includes the topics related to the material procurement and management, from suppliers to the production process. It also includes material procurement planning and the techniques of procurement

OBJECTIVES planning. It aims to discuss in depth about procurement concept and material management as well as related models in this topic. Case studies and relevant journals will be discussed in this course for enrichment.

KOMPETENSI/

COMPETENCY

� Keterampilan sintesis, integrasi, dan perancangan � Keterampilan manajerial � Perancang sistem

� Synthesizing, integrating, and designing skills � Managerial skills � System designer

POKOK BAHASAN/

SUBJECTS

� Pengantar sistem produksi dan konteks perencanaan dan pengendalian produksi.

� Peramalan permintaan, perencanaan produksi aggregat, pengelolaan persediaan.

� Jadwal induk produksi, perencanaan kebutuhan bahan, perencanaan kapasitas, pengendalian aktifitas produksi.

� Beberapa teknik lain: Just In Time, Theory of Constraint � Pengenalan ERP, dan pengenalan CPFR dalam konteks SCM

� Introduction to production system and production planning and control context.

� Demand forecasting, aggregate production planning, inventory management.

� Production master plan, material requirements planning, capacity planning, production activity control.

� Other techniques: Just In Time, Theory of Constraint � Introduction to ERP and CPFR in SCM context

PUSTAKA UTAMA/

REFERENCES

1. Arnold, J.R.T., dan Chapman, S.N., (2004), Introduction to Material Management, Fifth Edition, Pearson Prentice-Hall, Upper Saddle River, New Jersey

2. Dobler, D. W., Burt, D.N., and Lee, Jr., L., (1990), Purchasing and Materials Management Text and Cases, Fifth Edition, McGraw-Hill International Edition, Singapore

3. Tersine, Richard J., (1994), Principle of Inventory and Materials Management, Fourth Edition, Prentice-Hall International, London

4. Vollmann, T., Berry, W., Whybark, C., and Jacobs, R. (2005). Manufacturing Planning and Control Systems for Supply Chain Management Fifth Ed., McGraw-Hill.

MATA KULIAH/ TI0920XX : Manajemen Logistik dan Rantai Pasok

COURSE TITLE TI0920XX : Logistics and Supply Chain Management Credits: 2 Semester: Elective


LEARNING OBJECTIVES

Tujuan mata kuliah ini adalah untuk memberikan pengetahuan dan ketrampilan bagi mahasiswa untuk memahami konsep-konsep maupun model-model dalam manajemen logistik dan rantai pasok serta aplikasinya di dalam kasus nyata. Mahasiswa juga dibekali untuk trampil menggunakan aplikasi perangkat lunak bagi setiap materi perkuliahan yang membutuhkan. Dengan kombinasi antara kemampuan memahami problem-problem real, menterjemahkannya dalam model serta metoda penyelesaiannya, diharapkan mahasiswa mempunyai pengetahuan komprehensif tentang manajemen logistik dan rantai pasok.

The course aims to provide students with knowledge and skills to understand concepts and models of logistics and supply chain management as well as the application in real cases. It also forms students’ skills in using software helps for several subjects in this course. With the skills to understand real problems, interpreting the problems into models and determining the appropriate solving methods, students are expected to have a comprehensive knowledge about logistics and supply chain.

KOMPETENSI/

COMPETENCY

� Keterampilan sintesis, integrasi, dan perancangan � Keterampilan manajerial � Keterampilan memanfaatkan teknologi informasi

� Synthesizing, integrating, and designing skills � Managerial skills � Problem solving skills

POKOK BAHASAN/

SUBJECTS

� Dasar-dasar perencanaan jaringan distribusi � Keputusan lokasi fasilitas dalam jaringan distribusi � Dasar-dasar perencanaan transportasi logistik dan keputusan-

keputusan dalam transportasi logistik � Sistem pergudangan dan pemindahan produk di gudang serta

keputusan-keputusan yang terlibat di dalamnya � Peranan teknologi informasi dan komunikasi dalam manajemen

logistik dan rantai pasok.

� Basics of distribution network planning � Decision of facilities location in distribution network � Basics of logistics transportation planning Logistics transportation

decisions

� Warehousing and warehouse material handling system and decisions

� The roles of information and communication technology in logistics and supply chain.


1. Ghiani, Gianpaolo. (2004). Introduction to Logistics Systems Planning and Control. California: John Wiley and Sons, Ltd.

2. Ballou, Ronald. H. (2004) Business Logistics Management, Prentice Hall International, Inc., USA

3. Chopra, Sunil (2007). Supply chain Management: Strategy,Planning, and Operation. Prentice Hall International, Inc., New Jersey

4. Fleischmand et.al. (2003) Quantitative Modelling in Reverse Logistics, Springer


TI0920XX : Teknologi Informasi untuk Rantai Pasok TI0920XX : IT For Supply Chain Credits: 2 Semester: III


Teknologi Informasi (IT) bukan hanya topik tambahan dalam Manajemen Rantai Pasok. IT telah memungkinkan terjadinya komunikasi antara sekelompok rekan dagang, menurunkan biaya transaksi, meningkatkan aliran informasi, dan meredefinisi hubungan dalam rantai pasok. Selain itu, saat ini telah banyak perusahaan menggunakan IT untuk menciptakan rantai pasok baru berbasiskan senjata kompetitif yang unggul. Mata kuliah ini membahas manajemen teknologi informasi dari sudut pandang manajemen rantai pasok. Mahasiswa akan dibimbing untuk memahami aplikasi-aplikasi IT dalam berbagai aspek dari suatu Manajemen Rantai Pasok yang mencakup keputusan-keputusan, kebutuhan data untuk pengambilan keputusan, dan pemilihan tool pendukung keputusan (teknologi dan software). Mahasiswa juga didorong untuk mengkaji beberapa studi kasus dengan aplikasi IT dalam permasalahan Manajemen Rantai Pasok.

Information technology (IT) is no longer an ancillary subject in Supply Chain Management. IT has opened up communications expanding the set of trading partners, lowering transaction costs, increasing information sharing and redefining supply chain relationships. Moreover, many companies are using IT to create powerful new supply chain based competitive weapons. This course considers information technology management from a supply chain management perspective. Students will study the applications of IT on various

aspects of Supply Chain Management including the decisions made, the data requirements for these decisions; the selection of decision support tools (software and technologies). Students also are encouraged to learn from several case studies on IT and SCM issues.



� Managerial skills � Proficiency in ICT � Syntetical, integrating, and designing skills


� Pengantar, hubungan dan koordinasi antara rantai pasok dan

teknologi informasi. � Teknologi Informasi dan kaitannya dengan Manajemen Hubungan

Pelanggan dan Manajemen Hubungan Pemasok. � Teknologi Informasi dan Perdagangan secara elektronik, chanel

distribusi, dan interface pelanggan. � Aplikasi-aplikasi Enterprise untuk manajemen rantai pasok:

Enterprises Resource Planning (ERP) dan masalah implementasinya, Enterprise untuk pengadaan, pergudangan, dan transportasi.

� Sistem pendukung keputusan untuk manajemen rantai pasok dan implementasi Automatic Identification and Data Capture (AIDC) yang meliputi Barcoding, Radio Frequency Identification (RFID) Tags, and Smart Cards, serta Standarisasi.

� Introduction, IT and Supply Chain relationships and coordination. � IT and Customer Relationship Management (CRM), IT and Supplier

Relationship Management (SRM)/ Vendor Managed Inventory (VMI).

� IT and electronic commerce, IT and customer interface, IT and Intermediation and Distribution Channels.

� Enterprise applications for SCM: Enterprises Resource Planning (ERP) and implementation issues, Enterprise application for e-procurement, Enterprise application for Warehouse and Transportation.

� Decision Support System for SCM, and Automatic Identification and Data Capture (AIDC) that includes barcoding, Radio Frequency Identification (RFID) Tags, and Smart Cards, and standardization.

Referensi/ References N/A


TI0920XX : Perencanaan Sistem Distribusi & Transportasi TI0920XX : Transportation and Distribution System Planning Credits: 3 Semester: III


Mata kuliah ini mengupas model matematis dalam perencanaan sistem transportasi dan distribusi, serta hubungan antara teori-teori lanjut dan aplikasi komputer yang bermanfaat. Mahasiswa yang mengikuti mata kuliah ini diharuskan memiliki ketrampilan dasar pemrograman dan permodelan riset operasi. Kuliah ini mempelajari permasalahan permodelan dan penyusunan algoritma eksak dan heuristik untuk memecahkan permasalahan-permasalahan yang ada. Pada bagian akhir perkuliahan, mahasiswa akan diarahkan untuk melaksanakan suatu tugas besar yang berkaitan dengan memecahkan permasalahan dalam perencanaan sistem distribusi dan transportasi.

The class will explore the mathematical models in planning transportation and distribution systems, and the relationship between theoretical advances and useful computer applications. Students are required to have basic programming and operation research modeling skills. Students will study modeling problems and building algorithms (exact and heuristic) to solve the problems. Students will be required to undertake a project in solving one of transportation and distribution system planning problem.



� Managerial skills � Proficiency in ICT � Syntetical, integrating, and designing skills


� Pengantar Perencanaan Sistem Distribusi dan Transportasi. � Perencangan jaringan dan Graph Theory, Merancang dan

Merencanakan jaringan rantai pasok. � Model-model jaringan single echelon dan multi echelon. � Permodelan transportasi Long haul dan Short haul. � Routing Problems: Capacitated Vehicle Routing Problems (CVRP),

Vehicle Routing Problems with Time Windows, VRP with Backhauls/Mixed Loads, Pick Up and Delivery Routing Problems, and Inventory Routing Problems.

� Introduction to Transportation and Distribution System Planning. � Network Planning and Graph Theory, Designing and Planning

Supply Chain networks. � Single-echelon and Multi-echelon Network Models � Long-haul and short-haul Transportation Modeling, shortest path

problems. � Routing Problems: Capacitated Vehicle Routing Problems (CVRP),

Vehicle Routing Problems with Time Windows, VRP with Backhauls/Mixed Loads, Pick Up and Delivery Routing Problems, and Inventory Routing Problems.


1. Introduction to Logistics Systems Planning and Control (Wiley Interscience Series in Systems and Optimization) by Gianpaolo Ghiani, et al (2004)

2. The Vehicle Routing Problem Discrete Math (Siam Monographs on Discrete Mathematics and Applications) by Paolo Toth (Editor), Daniele Vigo (Editor) (2001)

3. The Logic of Logistics : Theory, Algorithms, and Applications for Logistics and Supply Chain Management (Springer Series in Operations Research and Financial Engineering) by David Simchi-Levi, et al (2004)


TI0920XX : Simulasi Sistem TI0920XX : System Simulation Credits: 2 Semester: Elective


Memberikan pemahaman mengenai teknik permodelan simulasi untuk analisis, perancangan, dan perbaikan suatu sistem industri.

The course aims to provide students with understanding of simulation modeling techniques for analysis, designing, and improvement of an industrial system.



� Problem solving skills � Proficiency in ICT � Syntetical, integrating, and designing skills


� Sistem dan dinamika sistem � Dasar-dasar simulasi: tipe simulasi, perilaku acak, pembangkitan

bilangan acak dan pembangkitan variabel acak.

� Proses simulasi, prosedur simulasi, pengumpulan data dan analisa input.

� Pembentukan model konseptual, pembentukan model simulasi, verifikasi dan validasi model.

� Analisa output, uji hipotesa untuk membandingkan beberapa sistem, pencarian solusi optimal dengan simulasi.

� System and its dynamic � Basic simulation: type of simulation, random behaviour, random

number generation, random variable generation. � Simulation process, simulation procedures, data collection and

input analysis. � Conceptual model building, simulation model building, model

verification and validation. � Output analysis, hypotesis testing for compariong systems, how to

find optimal solution with simulation.


1. Law, A.M. and Kelton, D.W., Simulation Modeling and Analysis, 3rd Ed., McGraw-Hill, 2000

2. Kelton, D.W., Sadowski, Randall P., and Sturrock, David T., Simulation with Arena, 3rd Ed., McGraw-Hill, 2003

3. Altiok, Tayfur, and Melamed, Benjamin, Simulation Modeling and Analysis with Arena, Cyber Research, Inc. and Enterprise Technology Solutions, Inc., 2001

4. Robinson, Stewart, Simulation; The Practice of Model Development and Use, John Wiley, 2004

5. Harrell, Ghosh, Bowden, Simulation Using ProModel, McGraw-Hill, 2004


TI0920XX : Pengambilan Keputusan Multi Kriteria TI0920XX : Multi Criteria Decision Making Credits: 2 Semester: Elective


Setelah mengikuti kuliah mahasiswa mampu menjelaskan fenomena -konfliktual keputusan dan memahami konsep "satisfied solution" dalam problem keputusan multikriteria baik untuk variabel keputusan kontinue atau diskrit serta serta mampu menerapkannya untuk proses evaluasi dan analisis pemilihan alternatif dari sistem/problem keputuan riel maupun untuk problem rekayasa.

The course aims to provide students with explanation of decision conflicts phenomenon and the concepts of satisfied solution in multi criteria decision for continuous or discrete decision variables as well as

to apply those for evaluation process and alternative selection analysis of real problem or hypothetical problem.


� Keterampilan memecahkan masalah � Keterampilan memanfaatkan teknologi informasi � Ketrampilan analisis

� Problem solving skills � Proficiency in ICT � Analytical skills


� Review konsep optimasi dan teori dasar MCDM � Penilaian preferensi dan pengukuran serta teknik pembobotan

kriteria dan pengukurannya. � Penyelesaian multi obyektif (MOP) dengan pendekatan-

pendekatan tunggal, konsep dan penyelesaian goal programming. � Penyelesaian MCDM: pendekatan agregasi total dan diskrit (AHP,

struktur dan hirarki problem kompleks, analisa sensitivitas dengan Expert Choice), pendekatan berbasis agregasi parsial (ELECTRE I dan II, konsep outranking, kondisi penilaian concordance dan discordance, analisa sensitivitas), pendekatan PROMETEE I

� Studi kasus.

� Preferences assessment and measurement, weighting criteria and measures

� Multi objective solution with single approach, goal programming concepts and solving methods.

� Multi criteria decision making approaches: total and discrete aggregation (AHP, complex problems hierarchy and structures, sensitivity analysis with Expert Choice), partial aggregation based approach (ELECTRE I and II, outranking concept, concordance and discordance condition, sensitivity analysis), PROMETEE I approach.

� Case Studies


� Bana et Costa, C.A (1994), Readings in Multiple Criteria Decision

Aid, Springer Verlag, Berlin. � Lawrence, Kenneth.D, Gary R.Reeves and Ronald K.Limberg (2000).

Multi Criteria Apllications, Application of Management Science Vol.10, Elsevier Science.

� Maystre L.Y., J.Pictet dan J. Simos.(1995) Methode Multicritere ELECTRE, Presses Polytechniques et Universitqires Romandes, Lausanne.

� Tabucanon, M.T (1992). Multipile Criteria Decision Making in Industry, Elsevier.

� Saaty,T.L. (1994), Fundamental of Decision Making in Priority Theory. RWS Publications.

� Sen, Pratyush and Jian-Bo Yang (1998). Multiple Criteria Decision Support in Engineering Design, Springer Verlag, Berlin.

� Romero, C (1992). Handbook of Critical Issues in Goal Programming. Pergamon Press, London.


TI0920XX : Proses Stokastik TI0920XX : Stochastic Process Credits: 2 Semester: Elective


Memahami dan mampu membuat model dari sistem yang bersifat probabilistik/stokastik dan teknik-teknik penyelesainnya baik secara algoritmik (manual) maupun dengan bantuan software komputer.

To understand and to develop capability on model building of probabilistic/stochastic system as well as using solving methods either algorithmically (manually) or with computer software application.


� Keterampilan memecahkan masalah � Keterampilan memanfaatkan teknologi informasi � Ketrampilan analisis � Perancang sistem

� Problem solving skills � Proficiency in ICT � Analytical skills � System designer


� Review teori probabilitas dan pengantar proses stokastik � Proses Markov � Proses difusi � Proses Poisson � Teori antrian

� Review on probability theory and introduction to stochastic process � Markov process � Diffusion process � Poisson process � Queuing theory


� Mario Lefebvre,Applied Stochastic Processes, springer � Ross sheldon, Stochastic Process, Wiley � Ross Sheldon, Introduction to probability models, Academic

Press


TI0920XX : Manajemen Siklus Hidup Produk TI0920XX : Product Life Cycle Management Credits: 2 Semester: Elective


Dalam iklim bisnis dewasa ini, keterlibatan aspek lingkungan dalam membentuk total performance (Triple Botttom Line – TBL) telah merupakan tuntutan mutlak yang harus direspon secara proaktif oleh pihak industri. Karenanya setiap industri harus mengelola siklus hidup produknya secara komprehensif dan terintegrasi. Mata kuliah ini bertujuan mempelajari berbagai teknik pengelolaan siklus hidup produk secara efisien dan berkelanjutan hingga dapat meminimasi dampak lingkungan dan meningkatkan profitabilitas bisnis. Lima pilar dalam pengelolaan siklus hidup produk (Product Life Cycle Management – PLCM) meliputi Life Cycle Engineering (LCE), Life Cycle Assessment (LCA), Life Cycle Costing (LCC), Product Data Management (PDM), dan Technical Support (TS).

Recently, the involvement of environmental aspects in shaping total performance (Triple Bottom Line – TBL) has become an absolute requirement to be responsed proactively by industry. Hence, each industry is required to manage their product life cycle to be comprehensive and integrated. This course aims to discuss about various techniques of managing product life cycle efficiently and in sustainable manner so thay it minimizes environmental effects and improve business profitability. Five pillars in product life cycle management (PLCM) include Life Cycle Engineering (LCE), Life Cycle Assessment (LCA), Life Cycle Costing (LCC), Product Data Management (PDM), and Technical Support (TS).


� Kemampuan mengakomodasikan isu lingkungan dan keberlanjutan � Perancang sistem � Ketrampilan Sintesis, integrasi, dan perancangan

� Ability to accommodate environmental issues & sustainabilities � System designer � Synthesizing, integrating, and designing skills


� Konsep, ruang lingkup, dan strategi sustainable manufacturing. � Life Cycle Engineering (LCE) � Life Cycle Assessment (LCA) � Life Cycle Costing (LCC) � Product Data Management (PDM) dan Technical Support (TS).

� The concepts, scope, and strategy ofsustainable manufacturing. � Life Cycle Engineering (LCE) � Life Cycle Assessment (LCA) � Life Cycle Costing (LCC) � Product Data Management (PDM) dan Technical Support (TS)


1. Billatos, S.B. and Basaly, N.A. (1997) Green Technology and Design for the Environment, Taylor & Francis

2. Lewis, H. And Gertsakis, J. (2001) Design + Environment, Greenleaf Publishing

3. Fiksel, J. (1997) Design for Environment – Creating Eco-Efficient Products andProcesses, McGraw Hill

4. Curran, M.A. (1996) Environmental Life-Cycle Assessment, McGraw-Hill

5. Graedel, T.E. (1998) Streamlined Life Cycle Assessment, Prentice Hall

6. Kennedy, M.L. (1998) Total Cost Assessment for Environmental Engineers andManagers, John Wiley & Sons, Inc.

7. Proceeding of CIRP International Seminar on Life Cycle Engineering, 1994 – 2008


TI0920XX : Optimasi Skala Besar TI0920XX : Large Scale Optimization Credits: 2 Semester: Elective


Mata kuliah ini berorientasi di seputar komputasi dan issue-issue yang berhubungan dengan komputasi dalam hal pengembangan dan penyelesaian model optimasi skala besar. This course is oriented around computation and computation-related issues in developing and solving large-scale optimization models.


� Keterampilan memecahkan masalah � Keterampilan memanfaatkan teknologi informasi

� Ketrampilan Sintesis, integrasi, dan perancangan



� Domain aplikasi termasuk transportasi, economic equilibrium dan

pricing. � Covering, staffing & cutting stock models, multi-period planning

problem, inventory, produksi dan manajemen supply chain � Pengambilan keputusan dalam ketidakpastian dan program

stokastik. � Tehnik dan tool modeling meliputi: linear, network, dan diskrit � Metode dekomposisi untuk system skala besar dan optimasi

stokastik yang berfokus pada algorithm.

� Application domains include transportation, and economic equilibrium and pricing.

� Covering, staffing & cutting stock models, multi-period planning problem, inventory, production and supply chain management.

� Decision making under uncertainty and stochastic programs � Modeling tools and techniques covered include linear, network and

discrete � Decomposition methods for large scale systems, and stochastic

optimization which focus on exact algorithm.


� Bruce A. McCarl, Thomas H. Spreen; Applied Mathematical Programming Using Algebraic Systems, E-book

� Bruce A. McCarl,McCarl GAMS User Guide, Presentation Note � Linus Schrage, Optimization Modeling with LINGO, Sixth Edition, � LINDO Systems, Inc., 2006, ISBN: 1-893355-00-4 � Http://ocw.mit.edu/OcwWeb/Sloan-School-of-Management/15-

094JSpring-2004/CourseHome/index.htm

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