Multi-Machine Scheduling Lower Bounds Using Decision Diagrams

Master Thesis (2018)
Author(s)

P. van den Bogaerdt (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Mathijs de Weerdt – Mentor

C. Witteveen – Graduation committee member

L. v. van Iersel – Graduation committee member

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2018 Pim van den Bogaerdt
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 Pim van den Bogaerdt
Graduation Date
30-05-2018
Awarding Institution
Delft University of Technology
Programme
['Computer Science | Software Technology']
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We investigate the use of relaxed decision diagrams for obtaining lower bounds on multi-machine scheduling problems. The type of scheduling problem we consider models a railway service site where maintenance jobs are performed, but is sufficiently general to potentially have wider applicability.
We find that our decision diagram formulation is able to give decent lower bounds in short time. Our implementation is competitive with lower bounds given by existing solvers, and is superior when due times are small and have small variance. Further, we find that our model greatly improves upon a naive extension of the state of the art for single-machine scheduling [23].

Files

Mmdd_final.pdf
(pdf | 0.508 Mb)
License info not available