A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Transport Resources

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

Homayouni, SM (Autor) Outra; Dalila B.M.M. Fontes (Autor) FEP

Ata de Conferência Internacional

Título: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Páginas: 378-386

IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021

5 September 2021 through 9 September 2021

Indexação

ISI Web of Knowledge - 6 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-00V-FQA

DOI: 10.1007/978-3-030-85874-2_40

Abstract (EN): This work addresses the energy-efficient job shop scheduling problem and transport resources with speed scalable machines and vehicles which is a recent extension of the classical job shop problem. In the environment under consideration, the speed with which machines process production operations and the speed with which vehicles transport jobs are also to be decided. Therefore, the scheduler can control both the completion times and the total energy consumption. We propose a mixed-integer linear programming model that can be efficiently solved to optimality for small-sized problem instances. © 2021, IFIP International Federation for Information Processing.

Idioma: Inglês

Tipo (Avaliação Docente): Científica