| TAOP18 | Supply Chain Optimization, 6 ECTS credits. /Optimering av försörjningskedjor/ |
||
Prel. scheduled
hours: 50 |
|||
|
Area of Education: Science Main field of studies: Mathematics, Applied Mathematics, Industrial Engineering and Management |
|||
| Advancement level
(G1, G2, A): A
|
|||
| Aim: 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. |
|||
| Prerequisites: (valid for students admitted to programmes within which the course is offered) An introductory course in Operations Research or Optimization. Basic knowledge in computer programming. Recommended prerequisite: Large Scale Optimization. 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. |
|||
| Organisation: 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 Excel/Visual Basic or 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. |
|||
| Course contents: 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, Cost allocation in transportation. |
|||
| Course literature: Information about lecture notes (kompendium) is given at the beginning of the course. |
|||
| Examination: | |||
| Oral and written presentation of case studies |
6 ECTS |
||
Course language is English. Department offering the course: MAI. Director of Studies: Torbjörn Larsson Examiner: Mathias Henningsson Link to the course homepage at the department Course Syllabus in Swedish |
|||
|
|
 |
|||||
| ||||||