| TAOP18 |
Supply Chain Optimization, 6 ECTS credits.
/Optimering av försörjningskedjor/
For:
DPU
I
Ii
M
Mat
MEC
MMAT
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Prel. scheduled
hours: 42
Rec. self-study hours: 118
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Area of Education: Science
Main field of studies: Mathematics, Applied Mathematics, Industrial Engineering and Management
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Advancement level
(G1, G2, A): A
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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.
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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 ZIMPL), 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.
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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 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.
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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.
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Course literature:
To be decided
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Examination: |
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Oral and written presentation of case studies
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6 ECTS
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Course language is English.
Department offering the course: MAI.
Director of Studies: Ingegerd Skoglund
Examiner: Nils-Hassan Quttineh
Link to the course homepage at the department
Course Syllabus in Swedish
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