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

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Homayouni, SM (Author) Other; Dalila B.M.M. Fontes (Author) FEP

Conference proceedings International

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

Pages: 378-386

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

5 September 2021 through 9 September 2021

Indexing

ISI Web of Knowledge - 6 Citations

Scopus - 5 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific