Supply Chain Optimization, 6 credits (TAOP18)

Optimering av försörjningskedjor, 6 hp

Main field of study

Mathematics Applied Mathematics Industrial Engineering and Management

Level

Second cycle

Course type

Programme course

Examiner

Nils-Hassan Quttineh

Director of studies or equivalent

Nils-Hassan Quttineh

Available for exchange students

Yes
Course offered for Semester Period Timetable module Language Campus VOF
6MIND Industrial Engineering and Management, Master's Programme (Operations Management) 3 (Autumn 2020) 2 1 English Linköping v
6MMAT Mathematics, Master's Programme (Modelling and Optimization in Economics) 3 (Autumn 2020) 2 1 English Linköping v
6MMAT Mathematics, Master's Programme 3 (Autumn 2020) 2 1 English Linköping v
6MMEC Mechanical Engineering, Master's Programme 3 (Autumn 2020) 2 1 English Linköping v
6MMEC Mechanical Engineering, Master's Programme (Manufacturing Engineering) 3 (Autumn 2020) 2 1 English Linköping v
6KMAT Mathematics, Bachelor's Programme (Modelling and Optimization in Economics) 5 (Autumn 2020) 2 1 English Linköping v
6KMAT Mathematics, Bachelor's Programme 5 (Autumn 2020) 2 1 English Linköping v
6CDPU Design and Product Development, M Sc in Engineering 9 (Autumn 2020) 2 1 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 9 (Autumn 2020) 2 1 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 9 (Autumn 2020) 2 1 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 9 (Autumn 2020) 2 1 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 9 (Autumn 2020) 2 1 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 9 (Autumn 2020) 2 1 English Linköping v
6CIII Industrial Engineering and Management, M Sc in Engineering 9 (Autumn 2020) 2 1 English Linköping v
6CMMM Mechanical Engineering, M Sc in Engineering (Logistics) 9 (Autumn 2020) 2 1 English Linköping v
6CMMM Mechanical Engineering, M Sc in Engineering 9 (Autumn 2020) 2 1 English Linköping v
6CMMM Mechanical Engineering, M Sc in Engineering (Operations Management) 9 (Autumn 2020) 2 1 English Linköping v

Main field of study

Mathematics, Applied Mathematics, Industrial Engineering and Management

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Master's Programme in Industrial Engineering and Management
  • Master's Programme in Mathematics
  • Master's Programme in Mechanical Engineering
  • Bachelor's Programme in Mathematics
  • Design and Product Development, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Mechanical Engineering, M Sc in Engineering

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

(valid for students admitted to programmes within which the course is offered)
Basic course in optimization, including network programming. Solid knowledge in computer programming. Recommended prerequisite: Knowledge in optimization modelling language (AMPL or similar), large scale optimization.

Intended learning outcomes

The course aims to give the students an ability to model optimization problems, and an insight in how mathematical theory can be used to formulate and solve practical problems, with emphasis on applications in supply chain, distribution and transportation planning. The course also aims to give a deeper knowledge about combinatorial optimization, i.e. optimization problems with an underlying graph structure.

Course content

Supply chain optimzation problems, Sequencing and scheduling problems in production planning, Classical machine scheduling problems, Capacitated lot-sizing problem, Transportation and routing problems, Local search/tabu search, Column generation, Ampl-modelling.

Teaching and working methods

The course is built up around a number of cases (practical applications), where the students work with problem analysis, modelling and solving using software as Matlab and Ampl/Cplex. The lectures cover theory and optimization methodology. The cases are discussed and the students present the results of their work. Other practical applications are discussed.  

Examination

PRA1Oral and written presentation of case studiesU, 3, 4, 56 credits

Grades

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

Other information

Supplementary courses: Mathematical Optimization

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is Swedish, the course as a whole or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish. 
  • If teaching language is Swedish/English, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English (depending on teaching language). 
  • If teaching language is English, the course as a whole is taught in English. Examination language is English. 

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

Department

Matematiska institutionen

Director of Studies or equivalent

Nils-Hassan Quttineh

Examiner

Nils-Hassan Quttineh

Course website and other links

http://courses.mai.liu.se/GU/TAOP18

Education components

Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 h

Course literature

Other
Kursmaterial från institutionen

Other

Kursmaterial från institutionen
PRA1 Oral and written presentation of case studies U, 3, 4, 5 6 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. 

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. There are no files available for this course.