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Developing pricing strategy to optimise total profits in an electric vehicle battery closed loop supply chain

Developing pricing strategy to optimise total profits in an electric vehicle battery closed loop supply chain

Gu, Xiaoyu, Ieromonachou, Petros ORCID: 0000-0002-5842-9585, Zhou, Li ORCID: 0000-0001-7132-5935 and Tseng, Ming-Lang (2018) Developing pricing strategy to optimise total profits in an electric vehicle battery closed loop supply chain. Journal of Cleaner Production, 203. pp. 376-385. ISSN 0959-6526 (doi:https://doi.org/10.1016/j.jclepro.2018.08.209)

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Abstract

This paper studies a three-period electric vehicle battery recycle and reuse closed-loop supply chain consisting of a battery manufacturer and a remanufacturer. Differing from other products and existing research, used electric vehicle batteries can be instantly reused for other purposes before recycling, such as energy storage. In order to optimize total profits in the whole supply chain in different batteries period of use, this paper develops the optimal pricing strategy between manufacturer and remanufacturer, discusses the relationships between return yield, sorting rate, recycling rate in order to optimize total profit in different period. The result suggests that, comparing with new battery manufacturing, battery recycling and reusing would contribute to reduce raw material consumption hence reduce environmental impact, but may not gain financial benefits. It also notes that although the close-loop supply chain is nonlinearly complicated, some relationships between parameters can be treated as linear or quadratic. The results of this research will help practitioners to better understand the entire closed-loop supply chain in order to enhance its collaboration.

Item Type: Article
Uncontrolled Keywords: Closed-loop supply chain, Electric vehicle battery, Recycle, Reuse, Profit
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 28 Aug 2019 01:38
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 4
URI: http://gala.gre.ac.uk/id/eprint/21368

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