A Matheuristic Approach to the Open Shop Scheduling Problem with Sequence-Dependent Setup Times*. Issue 10 (2022)
- Record Type:
- Journal Article
- Title:
- A Matheuristic Approach to the Open Shop Scheduling Problem with Sequence-Dependent Setup Times*. Issue 10 (2022)
- Main Title:
- A Matheuristic Approach to the Open Shop Scheduling Problem with Sequence-Dependent Setup Times*
- Authors:
- Pastore, Erica
Alfieri, Arianna
Castiglione, Claudio
Nicosia, Gaia
Salassa, Fabio - Abstract:
- Abstract: This paper deals with an open shop scheduling problem in which sequence-dependent setup times are present. In open shops there are no restrictions on the processing route of each job, so the decision regards not only the sequencing of jobs on each machine, but also the sequencing of operations (machines) for each job. These type of problems typically arise in application contexts where the order in which the operations are executed is irrelevant. In this work a novel heuristic approach based on mathematical programming, i.e., a matheuristic, is developed and its performance is assessed through a computational study on open shop benchmark instances.
- Is Part Of:
- IFAC-PapersOnLine. Volume 55:Issue 10(2022)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 55:Issue 10(2022)
- Issue Display:
- Volume 55, Issue 10 (2022)
- Year:
- 2022
- Volume:
- 55
- Issue:
- 10
- Issue Sort Value:
- 2022-0055-0010-0000
- Page Start:
- 2167
- Page End:
- 2172
- Publication Date:
- 2022
- Subjects:
- Scheduling -- Open Shop -- Sequence-dependent setup times -- Matheuristics -- Mixed Integer Linear Programming
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2022.10.029 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24159.xml