An Algebraic Approach to the Solutions of the Open Shop Scheduling Problem
The open shop scheduling problem (OSSP) is one of the standard scheduling problems. It consists of scheduling jobs associated with a finite set of tasks developed by different machines. In this case, each machine processes at most one operation at a time, and the job processing order on the machines...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Computation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3197/11/5/94 |
| Summary: | The open shop scheduling problem (OSSP) is one of the standard scheduling problems. It consists of scheduling jobs associated with a finite set of tasks developed by different machines. In this case, each machine processes at most one operation at a time, and the job processing order on the machines does not matter. The goal is to determine the completion times of the operations processed on the machines to minimize the largest job completion time, called <i>C<sub>max</sub></i>. This paper proves that each OSSP has associated a path algebra called Brauer configuration algebra whose representation theory (particularly its dimension and the dimension of its center) can be given using the corresponding <i>C<sub>max</sub></i> value. It has also been proved that the dimension of the centers of Brauer configuration algebras associated with OSSPs with minimal <i>C<sub>max</sub></i> are congruent modulo the number of machines. |
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| ISSN: | 2079-3197 |