MANAJEMEN SAINS overview

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1 MANAJEMEN SAINS overview
3 SKS Teknik Informatika Genap – 2017/2018 Aris Marjuni, S.Si, M.Kom

2 Beberapa Istilah The British/Europeans refer to “Operational Research", the Americans to “Operations Research" - but both are often shortened to just "OR". Another term used for this field is “Management Science" ("MS"). In U.S. OR and MS are combined together to form "OR/MS" or "ORMS". Yet other terms sometimes used are “Industrial Engineering" ("IE") and “Decision Science" ("DS").

3 Mengapa “manajemen sains”?
Manajemen Sains merupakan pendekatan ilmiah (scientific approach) untuk pengambilan keputusan, yang mengandung: Pemodelan matematika dari sebuah situasi (yang kompleks) Pengembangan teknik solusi yang digunakan untuk menyelesaikan model Kemampuan yang efektif untuk menyampaikan solusi kepada pihak pengambil keputusan

4 Deterministik: Semua parameter problem diketahui
tujuan Mempelajari dasar-dasar pemodelan matematika pada masalah-masalah optimisasi (deterministik). Deterministik: Semua parameter problem diketahui Optimisasi: Meminimalkan atau memaksimalkan Materi Manajemen Sains: Linear programming (LP) (1 weeks) Solving LP’s – Graphical method (2 weeks) Solving LP’s – Simplex method (3 weeks) Transportation problems (3 weeks) Assignment problems (2 weeks) Network problems (2 weeks)

5 Deterministic vd stochastic
Model Deterministik mengasumsikan semua data diketahui secara pasti (certainty) Model Stochastic merepresentasikan ketidakpastian data melalui variable random atau proses stochastic

6 OR/MS merupakan displin ilmu yang baru.
history OR/MS merupakan displin ilmu yang baru. 80 years ago it would have been possible to study mathematics, physics or engineering at university it would not have been possible to study OR/MS It was really only in the late 1930's that operationas research began in a systematic way.

7 history 1890 Frederick Taylor Scientific Management
[Industrial Engineering] 1900 Henry Gannt [Project Scheduling] Andrey A. Markov [Markov Processes] Assignment [Networks] 1910 F. W. Harris [Inventory Theory] E. K. Erlang [Queuing Theory] 1920 William Shewart [Control Charts] H.Dodge – H.Roming [Quality Theory] 1960 John D.C. Litle [Queuing Theory] Simscript - GPSS [Simulation] 1950 H.Kuhn - A.Tucker [Non-Linear Prog.] Ralph Gomory [Integer Prog.] PERT/CPM Richard Bellman [Dynamic Prog.] ORSA and TIMS 1940 World War 2 George Dantzig [Linear Programming] First Computer 1930 Jon Von Neuman – Oscar Morgenstern [Game Theory] 1970 Microcomputer 1980 H. Karmarkar (LP) Personal computer OR/MS Softwares 1990 Spreadsheet Packages INFORMS 2018 You are here

8 Problem solving & decision making
7 Steps of Problem Solving (First 5 steps are the process of decision making) Identify and define the problem. Determine the set of alternative solutions. Determine the criteria for evaluating the alternatives. Evaluate the alternatives. Choose an alternative. Implement the chosen alternative. Evaluate the results. DECISION MAKING PROBLEM SOLVING

9 REFERENCES

10 Grading Semester grades will be based on the four main scores: Quiz/assignment : 20% Mid-term Exam : 35% Final Exam : 40% Attendance & Bonus : 5% However, student must meet 75% attendance to get an assessment (compulsory).

11 Don’t forget to download the material course and note at SIADIN
END OF TODAY …. We have discussed what is the “management Science”, goal, history, and scope. Next week, we will begin to discuss “Linear Programming: as the first mathematical modeling in Management Science. Don’t forget to download the material course and note at SIADIN