| TNSL17 |
Optimization in logistics, 6 ECTS credits.
/Optimering inom logistik/
For:
FT
SL
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Prel. scheduled
hours: 48
Rec. self-study hours: 112
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Area of Education: Science
Main field of studies: Logistics
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Advancement level
(G1, G2, A): G2
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Aim:
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:
- Compute cost allocation using quantitative methods
- Model and solve simple time tabling and scheduling problems
- Know of basic methods for transportation planning and vehicle routing
- Understand in which wat more efficient planning in logistics can increase sustainability
- Know of different applications, where vehicle routing is an important partli
- Know methods and considerations necessary when doing Strategic Network Planning
- Know and apply basic methods for localization
- Know of necessary considerations in Multilevel inventory control
- Know and apply basic methods for solving the Traveling Salesman Problem
- Know different types of problems in Machine Scheduling and solve simple problems
- Apply construction-, improvement- and the principles behind Tabu search heuristics
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Basics in optimization (especially network and integer programming) and logistics
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Larger logistics projects, Thesis work
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Organisation:
The course will consist of lectures, lessons, seminars and laboratory work. The lectures, which primarily are given as recorded sections, downloadable from the course homepage, will discuss the main part of the theoretical content, while the seminars will be dedicated to case works and assignments. The lessons will be used for calculation exercises. The seminars are used to discuss larger areas of theory, as well as discuss cases/assignments, and the laboratory work will mainly consist of computer assisted exercises and assignments.
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Course contents:
The course contents include:
- Mathematical modeling of Strategic Network Planning (Supply Chain Design)
- Gravitation models for localization
- Location/routing problems
- Multilevel inventory control
- The Traveling Salesman Problem, and solving it using constraint generation
- Construction heuristics
- Vehicle routing problems, and solving these using heuristics, and by formulating a Set Partitioning Problem
- Scheduling of employees
- Machine sequencing
- Cost allocation using Activity Based Costing and Cooperative Game Theory
- Vehicle routing relating to e-trade
- Principles behind relaxations
- Basic improvement heuristics/local search
- Principles behind Tabu search
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Course literature:
Lundgren, Rönnqvist och Värbrand: Optimeringslära, Studentlitteratur,ISBN 91-44-03104-1 (also available in English).
Some chapters from earlier course books, or books available as e-books
Relevant scientific papers in Swedish and English.
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Examination: |
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Written examination
Case study
Laboratory work
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3 ECTS
2 ECTS
1 ECTS
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Good Projects & Laboratory work, with corresponding reports, may lead to higher course grade than grade on the individual assignments |
Course language is Swedish.
Department offering the course: ITN.
Director of Studies: Erik Bergfeldt
Examiner: Stefan Engevall
Link to the course homepage at the department
Course Syllabus in Swedish
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