TUJUAN PEMBELAJARAN/ Learning Objectives
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.
KOMPETENSI/ Competencies
x Keterampilan manajerial
x Keterampilan memanfaatkan teknologi informasi x Ketrampilan Sintesis, integrasi, dan perancangan x Managerial skills
x Proficiency in ICT
x Syntetical, integrating, and designing skills
Pokok Bahasan/ Subject
x Pengantar, hubungan dan koordinasi antara rantai pasok dan teknologi informasi.
x Teknologi Informasi dan kaitannya dengan Manajemen Hubungan Pelanggan dan Manajemen Hubungan Pemasok.
x Teknologi Informasi dan Perdagangan secara elektronik, chanel distribusi, dan interface pelanggan.
x Aplikasi-aplikasi Enterprise untuk manajemen rantai pasok: Enterprises Resource Planning (ERP) dan masalah implementasinya, Enterprise untuk pengadaan, pergudangan, dan transportasi.
x 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.
x Introduction, IT and Supply Chain relationships and coordination. x IT and Customer Relationship Management (CRM), IT and Supplier
Relationship Management (SRM)/ Vendor Managed Inventory (VMI).
x IT and electronic commerce, IT and customer interface, IT and Intermediation and Distribution Channels.
x Enterprise applications for SCM: Enterprises Resource Planning (ERP) and implementation issues, Enterprise application for e-procurement, Enterprise application for Warehouse and Transportation.
x 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/
MATA KULIAH/ COURSE TITLE
TI0920XX : Perencanaan Sistem Distribusi & Transportasi
TI0920XX : Transportation and Distribution System Planning
Credits: 3
Semester: III
TUJUAN PEMBELAJARAN/ Learning ObjectivesMata 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.
KOMPETENSI/ Competencies
x Keterampilan manajerial
x Keterampilan memanfaatkan teknologi informasi x Ketrampilan Sintesis, integrasi, dan perancangan x Managerial skills
x Proficiency in ICT
x Syntetical, integrating, and designing skills
Pokok Bahasan/ Subject
x Pengantar Perencanaan Sistem Distribusi dan Transportasi.
x Perencangan jaringan dan Graph Theory, Merancang dan Merencanakan jaringan rantai pasok.
x Model-model jaringan single echelon dan multi echelon. x Permodelan transportasi Long haul dan Short haul.
x 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.
x Introduction to Transportation and Distribution System Planning. x Network Planning and Graph Theory, Designing and Planning
Supply Chain networks.
x Single-echelon and Multi-echelon Network Models
x Long-haul and short-haul Transportation Modeling, shortest path problems.
x 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.
Referensi/ References
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)
MATA KULIAH/ COURSE TITLE
TI0920XX : Simulasi Sistem
TI0920XX : System Simulation
Credits: 2
Semester: Elective
TUJUAN PEMBELAJARAN/ Learning ObjectivesMemberikan 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.
KOMPETENSI/ Competencies
x Keterampilan memecahkan masalah
x Keterampilan memanfaatkan teknologi informasi x Ketrampilan Sintesis, integrasi, dan perancangan x Problem solving skills
x Proficiency in ICT
x Syntetical, integrating, and designing skills Pokok Bahasan/
Subject
x Sistem dan dinamika sistem
x Dasar-dasar simulasi: tipe simulasi, perilaku acak, pembangkitan bilangan acak dan pembangkitan variabel acak.
x Proses simulasi, prosedur simulasi, pengumpulan data dan analisa input.
x Pembentukan model konseptual, pembentukan model simulasi, verifikasi dan validasi model.
x Analisa output, uji hipotesa untuk membandingkan beberapa sistem, pencarian solusi optimal dengan simulasi.
x System and its dynamic
x Basic simulation: type of simulation, random behaviour, random number generation, random variable generation.
x Simulation process, simulation procedures, data collection and input analysis.
x Conceptual model building, simulation model building, model verification and validation.
x Output analysis, hypotesis testing for compariong systems, how to find optimal solution with simulation.
Referensi/ References
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
MATA KULIAH/ COURSE TITLE
TI0920XX : Pengambilan Keputusan Multi Kriteria
TI0920XX : Multi Criteria Decision Making
Credits:
2Semester: Elective
TUJUAN PEMBELAJARAN/ Learning ObjectivesSetelah 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.
KOMPETENSI/ Competencies
x Keterampilan memecahkan masalah
x Keterampilan memanfaatkan teknologi informasi x Ketrampilan analisis
x Problem solving skills x Proficiency in ICT x Analytical skills
Pokok Bahasan/ Subject
x Review konsep optimasi dan teori dasar MCDM
x Penilaian preferensi dan pengukuran serta teknik pembobotan kriteria dan pengukurannya.
x Penyelesaian multi obyektif (MOP) dengan pendekatan-pendekatan tunggal, konsep dan penyelesaian goal programming. x 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
x Studi kasus.
x Preferences assessment and measurement, weighting criteria and measures
x Multi objective solution with single approach, goal programming concepts and solving methods.
x 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. x Case Studies
Referensi/ References
x Bana et Costa, C.A (1994), Readings in Multiple Criteria Decision Aid, Springer Verlag, Berlin.
x Lawrence, Kenneth.D, Gary R.Reeves and Ronald K.Limberg (2000). Multi Criteria Apllications, Application of Management Science Vol.10, Elsevier Science.
x Maystre L.Y., J.Pictet dan J. Simos.(1995) Methode Multicritere ELECTRE, Presses Polytechniques et Universitqires Romandes, Lausanne.
x Tabucanon, M.T (1992). Multipile Criteria Decision Making in Industry, Elsevier.
x Saaty,T.L. (1994), Fundamental of Decision Making in Priority Theory. RWS Publications.
x Sen, Pratyush and Jian-Bo Yang (1998). Multiple Criteria Decision Support in Engineering Design, Springer Verlag, Berlin.
x Romero, C (1992). Handbook of Critical Issues in Goal Programming. Pergamon Press, London.
MATA KULIAH/ COURSE TITLE
TI0920XX : Proses Stokastik
TI0920XX : Stochastic Process
Credits:
2Semester: Elective
TUJUAN PEMBELAJARAN/ Learning ObjectivesMemahami 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.
KOMPETENSI/ Competencies
x Keterampilan memecahkan masalah
x Keterampilan memanfaatkan teknologi informasi x Ketrampilan analisis
x Perancang sistem x Problem solving skills x Proficiency in ICT x Analytical skills x System designer
Pokok Bahasan/ Subject
x Review teori probabilitas dan pengantar proses stokastik x Proses Markov
x Proses difusi x Proses Poisson x Teori antrian
x Review on probability theory and introduction to stochastic process x Markov process
x Diffusion process x Poisson process x Queuing theory
Referensi/ References
x Mario Lefebvre,Applied Stochastic Processes, springer x Ross sheldon, Stochastic Process, Wiley
x Ross Sheldon, Introduction to probability models, Academic Press
MATA KULIAH/ COURSE TITLE