Modelling remanufacturing process of end-of-life batteries using discrete event simulation

Packianather, Michael S. ORCID: https://orcid.org/0000-0002-9436-8206, Zainuddin, Felisa A., Soroka, Anthony ORCID: https://orcid.org/0000-0002-9738-9352, Tuthill, Peter and Ames, Eva 2024. Modelling remanufacturing process of end-of-life batteries using discrete event simulation. Presented at: IWAR 2023, 18-19 October 2023. Published in: Fera, M., Caterino, M., Macchiaroli, R. and Pham, D.T. eds. Advances in Remanufacturing:Proceedings of the VII International Workshop on Autonomous Remanufacturing. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer, pp. 469-481. 10.1007/978-3-031-52649-7_37

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Abstract

This paper focuses on developing a Discrete Event Simulation (DES) model using WITNESS for the process of remanufacturing End of Life (EoL) batteries. This study shows how the DES model could be used to understand the dynamics of the process flow for identifying the bottlenecks and finding feasible solutions based on Fit Remanufacturing principles in order to improve the performance of the whole remanufacturing process. The DES model was run using an iterative process to reduce idle times, increase utlisation times and minimize blockages and waiting times for the processes involved leading to an increase in the throughput of remanufactured battery packs/day from 10 to 30 after four weeks of continuous operation. Further, the blockage times were eliminated and reduced to less than 4% in all but two machines used in the remanufacturing of EoL batteries.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Springer
ISBN:	978-3-031-52648-0
Last Modified:	05 Jun 2024 08:45
URI:	https://orca.cardiff.ac.uk/id/eprint/169290

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