Simulation in Production and Logistics, 6 credits

Simulering av produktion och logistik, 6 hp

TPPE99

Main field of study

Industrial Engineering and Management

Course level

Second cycle

Course type

Programme course

Examiner

Fredrik Persson

Director of studies or equivalent

Fredrik Persson

Education components

Preliminary scheduled hours: 58 h
Recommended self-study hours: 102 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Logistics Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Logistics Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Logistics Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Logistics Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Logistics Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Manufacturing Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Manufacturing Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Manufacturing Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Manufacturing Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Manufacturing Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Logistics Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Manufacturing Management) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6MIND Industrial Engineering and Management, Master's programme 3 (Autumn 2017) 1 3 English Linköping, Valla E
6MIND Industrial Engineering and Management, Master's programme (Operations Management) 3 (Autumn 2017) 1 3 English Linköping, Valla E
6CMMM Mechanical Engineering, M Sc in Engineering 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CMMM Mechanical Engineering, M Sc in Engineering (Logistics) 9 (Autumn 2017) 1 3 English Linköping, Valla E
6CMMM Mechanical Engineering, M Sc in Engineering (Production Engineering) 9 (Autumn 2017) 1 3 English Linköping, Valla E

Main field of study

Industrial Engineering and Management

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Mechanical Engineering, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, Master's programme

Prerequisites

Basic course in mathematical statistics, basic course in logistics management and/or operations management.

Intended learning outcomes

The main goal of this course is to provide students with advanced level knowledge in discrete-event simulation (DES) methodology and application in the analysis of production and logistics systems. The course therefore provides practical experience in DES modeling coupled with theoretical depth in applied DES methods. After the course the student should be able to:

  • Describe fundamental concepts in discrete-event simulation.
  • List and explain advantages and disadvantages of simulation as an analysis tool.
  • Model stochastic input data with probability distributions and assess the quality of input models.
  • Build simulation models of production systems and logistics systems.
  • Perform advanced system analysis by experimental design with simulation models and draw conclusions from stochastic simulations.

Course content

  • Fundamental concepts in discrete-event simulation.
  • Simulation study methodology. Steps in a simulation study.
  • Input modelling.
  • Verification and validation of simulation models.
  • Experimentation and output analysis.
  • Modelling in a commercial simulation software.
  • Applications of simulation. Simulation of production systems and logistics systems.

Teaching and working methods

The course is organized in lectures, modelling classes (tutorials), and computer labs.

Examination

LAB1Computer labs3 creditsU, 3, 4, 5
TEN1Written examination3 creditsU, 3, 4, 5

The final grade is a combination of the individual grades.

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för ekonomisk och industriell utveckling

Director of Studies or equivalent

Fredrik Persson

Examiner

Fredrik Persson

Course website and other links

http://www.iei.liu.se/prodek/utbildning/

Education components

Preliminary scheduled hours: 58 h
Recommended self-study hours: 102 h

Course literature

Robinson, S. (2014) Simulation - The Practice of Model Development and Use, Palgrave Macmillan, 2nd Ed.
Code Name Scope Grading scale
LAB1 Computer labs 3 credits U, 3, 4, 5
TEN1 Written examination 3 credits U, 3, 4, 5

The final grade is a combination of the individual grades.

Robinson, S. (2014) Simulation - The Practice of Model Development and Use, Palgrave Macmillan, 2nd Ed.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
X
TEN1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
TEN1

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking
X
TEN1

                            
2.4 Attitudes, thought, and learning
X
TEN1

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
LAB1

                            
3.2 Communications

                            
3.3 Communication in foreign languages
X
LAB1

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X

                            
4.2 Enterprise and business context
X
X
TEN1

                            
4.3 Conceiving, system engineering and management
X
X
TEN1

                            
4.4 Designing
X
TEN1

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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