TUJUAN PEMBELAJARAN/ Learning Objectives
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.
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
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
TI0920XX : Manajemen Siklus Hidup Produk
TI0920XX : Product Life Cycle Management
Credits:
2Semester: Elective
TUJUAN PEMBELAJARAN/ Learning ObjectivesDalam 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).
KOMPETENSI/ Competencies
x Kemampuan mengakomodasikan isu lingkungan dan keberlanjutan
x Perancang sistem
x Ketrampilan Sintesis, integrasi, dan perancangan
x Ability to accommodate environmental issues & sustainabilities
x System designer
Pokok Bahasan/ Subject
x Konsep, ruang lingkup, dan strategi sustainable manufacturing.
x Life Cycle Engineering (LCE)
x Life Cycle Assessment (LCA)
x Life Cycle Costing (LCC)
x Product Data Management (PDM) dan Technical Support (TS).
x The concepts, scope, and strategy ofsustainable manufacturing.
x Life Cycle Engineering (LCE)
x Life Cycle Assessment (LCA)
x Life Cycle Costing (LCC)
x Product Data Management (PDM) dan Technical Support (TS)
Referensi/ References
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
MATA KULIAH/ COURSE TITLE
TI0920XX : Optimasi Skala Besar
TI0920XX : Large Scale Optimization
Credits:
2Semester: Elective
TUJUAN PEMBELAJARAN/ Learning ObjectivesMata 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. KOMPETENSI/