Optimization in Logistics, 6 credits

Optimering inom logistik, 6 hp

TNSL17

Course starting semester

Main field of study

Applied Mathematics Logistics

Course level

First cycle

Course type

Programme course

Examiner

Stefan Engevall

Director of studies or equivalent

Erik Bergfeldt

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6KFTL	Air Transportation and Logistics	5 (Autumn 2017)	1	3	Swedish	Norrköping, Norrköping	E
6KLOG	Civic Logistics	5 (Autumn 2017)	1	3	Swedish	Norrköping, Norrköping	E

Main field of study

Applied Mathematics, 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:

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

Course content

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

Teaching and working methods

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.

Examination

LAB1	Laboratory work	1 credits	U, G
UPG1	Case study	2 credits	U, G
TEN1	Written examination	3 credits	U, 3, 4, 5

Good Projects & Labaratory work, with corresponding reports, may lead to higher course grade than grade on the individual assignments

Grades

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

Other information

Supplementary courses:
Larger logistics projects, Thesis work

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Erik Bergfeldt

Examiner

Stefan Engevall

Course website and other links

http://www.itn.liu.se/~steen17/

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Additional literature

Books

Lundgren, Jan, Rönnqvist, Mikael, Värbrand, Peter, (2008) Optimeringslära
ISBN: 9789144053141
Lund : Studentlitteratur, 2008

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

Good Projects & Labaratory work, with corresponding reports, may lead to higher course grade than grade on the individual assignments

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.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Additional literature

Books

Lundgren, Jan, Rönnqvist, Mikael, Värbrand, Peter, (2008) Optimeringslära

ISBN: 9789144053141

Lund : Studentlitteratur, 2008

Download

Download course literature list as PDF

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

I = Introduce, U = Teach, A = Utilize

		U	A	Modules
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	LAB1 UPG1
	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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