Finding upper bound for tightening of individual constraints in flexible manufacturing systems

Bachelor Thesis (2022)
Author(s)

A.N. Karchev (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

E. Eigbe – Mentor (TU Delft - Algorithmics)

Neil Yorke-Smith – Mentor (TU Delft - Algorithmics)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Angel Karchev
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Angel Karchev
Graduation Date
22-06-2022
Awarding Institution
Delft University of Technology
Project
['CSE3000 Research Project']
Programme
['Computer Science and Engineering']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Delays and complications in different schedules are a common and widely applicable issue in modern society. These problems, if severe enough can cause a preexisting schedule to become infeasible, thus creating additional problems with varying levels of severity. The focus of this work is to showcase a systematic method for modelling potential disturbances in the execution of a schedule, and to provide algorithms which can help analyze the maximum bounds in which each constraint of the schedule is allowed to change without making the schedule infeasible. Presented is a method that is proven to provide results for the entire schedule with cubic complexity with regard to the number of jobs, as well as a heuristic method with results that approximate the correct ones, but runs considerably faster.

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