About this course
In this course students learn
- How to construct a descriptive model (input variables, output variables)
- How to create a prescriptive model (objective function, decision variables, restrictions) from a descriptive model
- How to decide which model(s) from literature can be applied or adjusted in specific situations in practice
- How to identify assumptions under which a model yields a correct solution to the problem
- How (empirical) input data for a model can be collected, cleaned, and analyzed and, if applicable, compared with a theoretical distribution function which can be applied in a decision support model
- How to interpret the results obtained with a model (worst case or best case)
- How to statistically test the model assumptions
- How to verify and validate a model
- How to perform a sensitivity analysis
Learning outcomes
The goal of this course is to teach students how to use quantitative modeling and statistical techniques when analyzing the performance of a company. If they have passed this course, students should be able to:
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Convert subjective statements of complex Industrial Engineering problems into claims on the operational characteristics and performance
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Support the conversion by conducting quantitative analyses learnt in prerequisite courses
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Identify the applicability of models learnt in prerequisite courses to an Industrial Engineering problem
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Indicate suitable models/methods learnt from prerequisite courses to answer an Industrial Engineering problem
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Identify the right distribution functions based on the provided information about an Industrial Engineering problem
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Calculate parameter values of a selected distribution function based on a statistical analysis learnt in the prerequisite courses
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Recall how to implement mathematical models learnt in prerequisite courses in Python
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Interpret the solution of a mathematical model to generate managerial insight on an Industrial Engineering problem
Prior knowledge
You must meet the following requirements
- Registered for a degree programme other than
- HBO-TOP Applied Physics, Pre-Master
Resources
- Additional handouts and publications
Additional information
- More infoCoursepage on website of Eindhoven University of Technology
- Contact a coordinator
- CreditsECTS 5
- Levelbachelor
Offering(s)
Start date
21 April 2025
- Ends22 June 2025
- Term *Block 4
- LocationEindhoven
- Instruction languageEnglish
Enrolment starts in 68 days