Course - Optimization of Logistics Systems - TLOG2009
Optimization of Logistics Systems
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About the course
Course content
The subject's position and function in the study:
The subject is compulsory in the 1st year, 2nd semester of the study program INGLOG (Program subject basis subject 2), and should concretely contribute to providing a basic understanding of optimization, and skills in modeling and optimizing key issues in logistics, e.g. production planning, transport planning, capacity and resource planning.
Academic content
- Linear programming and optimization;
- Integer programming
- Network models
- Optimization problems arising in logistics systems;
- Non-linear models with a focus on problems from logistics;
- Forecasting models, demand forecasting
Learning outcome
Knowledge: The course will convey the following knowledge to the candidate
- General knowledge of linear programming (LP) and optimization
- Specific knowledge of the use of LP and optimization for key issues within logistics, e.g. production planning, capacity and resource planning, transport and distribution networks
- Specific knowledge of integer programming
- Specific knowledge of solving/optimizing non-linear systems
- Specific knowledge of forecasting and demand management
Skills: The candidate must be able to:
- Build models for various logistics-related problems such as production planning, capacity and resource planning, transport and distribution planning, and find an optimized solution.
- Build models and find optimized solutions with integrality restrictions.
- Build models and find optimized solutions for non-linear issues in logistics and value chain management, e.g. order quantity or facility location.
- Carry out forecasting for demand and sales data with seasonal variations
General skills: The candidate must be able to
- Understand the role of optimization from an economic and logistic perspective
- Apply optimization in logistics and value chain management in general and in particular with regard to the new developments in the digitization era.
- Understand the ethical values of Scientific Management in general, and for the optimization discipline in particular.
- Understand the role of optimization and planning discipline and its contribution to a more sustainable future in logistics operations in general.
Learning methods and activities
PC-based lectures and exercises. Lectures will be through the usage of PC and interactive with the class. Individual exercises with submission.
Compulsory assignments
- Exercise
Further on evaluation
Written digital school exam.
Compulsory work: 6 exercises. 5 must be passed in order to sit for the exam.
Compulsory activity from previous semesters can be approved by the department.
The continuation exam can be changed to an oral exam.
Specific conditions
Admission to a programme of study is required:
Logistics - Engineering (FTHINGLOG)
Recommended previous knowledge
TLOG1015
Course materials
1) Textbook: Practical Management Science, Winston & Albright, 6th edition, Cengage Learning, 2018.
2) Lecture Notes, Handouts
Subject areas
- Engineering
Contact information
Course coordinator
Department with academic responsibility
Department of Industrial Economics and Technology Management