Manufacturing 4.0 Operations Scheduling with AGV Battery Management Constraints

Moussa Abderrahim, Abdelghani Bekrar, Damien Trentesaux, Nassima Aissani and Karim Bouamrane
Additional contact information
Moussa Abderrahim: Laboratoire d’Informatique d’Oran (LIO), Université Oran1, Oran 31000, Algeria
Abdelghani Bekrar: LAMIH, UMR CNRS 8201, UPHF, 59300 Valenciennes, France
Damien Trentesaux: LAMIH, UMR CNRS 8201, UPHF, 59300 Valenciennes, France
Nassima Aissani: Laboratoire de l’Ingénierie de la Sécurité Industrielle et du Développement Durable, Université Oran2, Oran 31000, Algeria
Karim Bouamrane: Laboratoire d’Informatique d’Oran (LIO), Université Oran1, Oran 31000, Algeria

Energies, 2020, vol. 13, issue 18, 1-19

Abstract: The industry 4.0 concepts are moving towards flexible and energy efficient factories. Major flexible production lines use battery-based automated guided vehicles (AGVs) to optimize their handling processes. However, optimal AGV battery management can significantly shorten lead times. In this paper, we address the scheduling problem in an AGV-based job-shop manufacturing facility. The considered schedule concerns three strands: jobs affecting machines, product transport tasks’ allocations and AGV fleet battery management. The proposed model supports outcomes expected from Industry 4.0 by increasing productivity through completion time minimization and optimizing energy by managing battery replenishment. Experimental tests were conducted on extended benchmark literature instances to evaluate the efficiency of the proposed approach.

Keywords: energy optimization; job-shop scheduling; transport constraints; automated guided vehicles; battery management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/18/4948/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/18/4948/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:18:p:4948-:d:416757

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().