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.
A Matheuristic Approach to the Open Shop Scheduling Problem with Sequence-Dependent Setup Times / Pastore, Erica; Alfieri, Arianna; Castiglione, Claudio; Nicosia, Gaia; Salassa, Fabio. - 55:(2022), pp. 2167-2172. (Intervento presentato al convegno 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022 tenutosi a Nantes, France nel 22-24 June 2022) [10.1016/j.ifacol.2022.10.029].
A Matheuristic Approach to the Open Shop Scheduling Problem with Sequence-Dependent Setup Times
Pastore, Erica;Alfieri, Arianna;Castiglione, Claudio;Salassa, Fabio
2022
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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2972927