Credits: 3 Course Coordinator:
Contact hours:


Three-hour class session each week Instructor(s): BPI, LD
Textbook(s) and other supplemental materials 1.      Daellenbach, H. G., 1994, Systems and Decision Making, John Wiley & Sons, Chichester-England.

2.      Murthy, D.N.P., Page, M.W., and Rodin,E.Y.,1990,Mathematical Modelling, Pergamon Press, Oxford, United Kingdom.

Course information Sistem dan berpikir sistem; Pemodelan sistem dalam pemecahan masalah; Proses pendefinisian masalah; Proses pemodelan matematik; Pemodelan dengan formulasi matematik deterministik; Pemodelan dengan formulasi matematik stokhastik; Estimasi parameter, analisis dan validasi model; Implementasi Model; Proyek kelas I: Model deterministik; Proyek kelas II: Model stokhastik; Pemodelan: Masalah teoritik. Pemodelan sistem kompleks.
Systems and system thinking, problem solving and system modelling, problem formulation process, mathematical modelling process, modelling with deterministic mathematical model, modelling with sthocastic mathematical model, parameter estimation, model analysis and validation, model implementation, class project I: deterministic model, class project II: sthocastic model, theoretical problem modelling, complex system modelling.

  • TI2001 Operational Research 1
  • TI2101Introduction to Industrial Engineering

  • TI3102 Operational Research 2
Required Course
Learning outcomes Memberikan pengetahuan tentang pendekatan sistem untuk pemecahan masalah (riil dan teoritik dalam lingkup bidang Teknik Industri) dan pemodelan matematik untuk memecahkan masalah serta implementasi model untuk memecahkan masalah. Mampu mendefinisikan masalah, membentuk sistem yang relevan untuk masalah, memodelkan sistem tersebut, serta melakukan analisis dan validasi model.
Learning outcomes To provide knowledge about the systems approach to problem solving (real and theoretical in scope of Industrial Engineering) and mathematical modeling and implementations to solve problems. Ability to define problems, establish relevant systems, modeling the system, and perform model analysis and validation.
Student Outcomes a b c d e f g h i J k


Lecture/Lab Topics Covered

Week Topics
1 System and system thinking
2 System concept
3 System modelling for problem solving
4 Defining problem and mathematical modeling; Study case
5 Modelling with deterministic mathematical formulation; Model analysis and validation
6-7   Mathematical model study case
8 Midterm exam
9 Class project I: deterministic model
10 Modelling with stochastic mathematical formulation
11 Study case II
12 Model analysis, validation and implementation
13 Class project II: stochastic model
14 Modelling theoretical problem
15 Complex system modelling
16 Final exam