A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Transport Resources - Artificial Intelligence for Sustainable and Resilient Production Systems PART IV, IFIP WG 5.7 International Conference, APMS 2021 Access content directly
Conference Papers Year : 2021

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

Abstract

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.
Fichier principal
Vignette du fichier
509923_1_En_40_Chapter.pdf (364.25 Ko) Télécharger le fichier

Dates and versions

hal-04030394 , version 1 (15-03-2023)

Licence

Attribution

Identifiers

Cite

S. Mahdi Homayouni, Dalila Fontes. A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Transport Resources. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.378-386, ⟨10.1007/978-3-030-85874-2_40⟩. ⟨hal-04030394⟩
12 View
31 Download

Altmetric

Share

Gmail Facebook X LinkedIn More