Decision Models, 6 credits

Beslutsmodeller, 6 hp

TNSL18

Main field of study

Logistics

Course level

First cycle

Course type

Programme course

Examiner

Martin Waldemarsson

Director of studies or equivalent

Erik Bergfeldt

Education components

Preliminary scheduled hours: 38 h
Recommended self-study hours: 122 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6KFTL Air Transportation and Logistics 4 (Spring 2017) 2 3 Swedish E
6KLOG Civic Logistics 4 (Spring 2017) 2 3 Swedish E

Main field of study

Logistics

Course level

First cycle

Advancement level

G2X

Course offered for

  • Air Transportation and Logistics
  • Civic Logistics

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Basics in optimization (especially network and integer programming) and logistics

Intended learning outcomes

The aim of this course is to present a number of application areas within logistics, where quantitative methods are especially suitable. After the course, the students should:

  • know the principle behind the SCOR-model-building
  • perform simple metric calculations using the SCOR-model
  • create simple models in decision theory
  • conduct an investment analysis
  • implement a project planning with CPM and PERT methodology
  • generate a queueing model and simulation model for simple logistics cases
  • master various special cases of inventory control

 

Course content

The course contents include:

  • The SCOR model Key factor calculations using the SCOR model Decision theory Investment analysis Project planning Queueing theory and simulation Inventory control

 

Teaching and working methods

The course will consist of lectures, lessons and laboratory work. The lectures will discuss the main part of the theoretical content, while the seminars will be dedicated to case works and assignments. Laboratory work will mainly consist of computer assisted exercises and assignments.

Examination

LAB1Laboratory work1 creditsU, G
UPG1Case study2 creditsU, G
TEN1Written examination3 creditsU, 3, 4, 5
UPG1 LAB10 credits

Grades

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

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Erik Bergfeldt

Examiner

Martin Waldemarsson

Education components

Preliminary scheduled hours: 38 h
Recommended self-study hours: 122 h

Course literature

Beslutsmodeller – redskap för ekonomisk argumentation av Edlund, Högberg och Leonardz
Beslutsmodeller i praktisk tillämpning – Övningsbok av Edlund och Högberg
Code Name Scope Grading scale
LAB1 Laboratory work 1 credits U, G
UPG1 Case study 2 credits U, G
TEN1 Written examination 3 credits U, 3, 4, 5
UPG1 LAB1 0 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Beslutsmodeller – redskap för ekonomisk argumentation av Edlund, Högberg och Leonardz <br>Beslutsmodeller i praktisk tillämpning – Övningsbok av Edlund och Högberg

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
LAB1
TEN1
UPG1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
LAB1
TEN1
UPG1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
LAB1
TEN1
UPG1

                            
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
UPG1 LAB1

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
UPG1

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications

                            
3.3 Communication in foreign languages

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

                            
4.2 Enterprise and business context
X
TEN1
UPG1

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
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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