Manufacturing 4.0 Operations Scheduling with AGV Battery Management Constraints

Energies

Damien Trentesaux¹  Abdelghani Bekrar¹  Nassima Aissani²  Karim Bouamrane³  Moussa Abderrahim³ 

[1] LAMIH, UMR CNRS 8201, UPHF, 59300 Valenciennes, France;Laboratoire de l’Ingénierie de la Sécurité Industrielle et du Développement Durable, Université Oran2, Oran 31000, Algeria;Laboratoire d’Informatique d’Oran (LIO), Université Oran1, Oran 31000, Algeria;

关键词: energy optimization;    job-shop scheduling;    transport constraints;    automated guided vehicles;    battery management;   

DOI  :  10.3390/en13184948

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown