Decentralized master production and recycling scheduling of lithium-ion batteries: a techno-economic optimization model

Christian Scheller (), Kerstin Schmidt and Thomas Stefan Spengler
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Christian Scheller: Technische Universität Braunschweig
Kerstin Schmidt: Technische Universität Braunschweig
Thomas Stefan Spengler: Technische Universität Braunschweig

Journal of Business Economics, 2021, vol. 91, issue 2, No 6, 253-282

Abstract: Abstract Due to the rapid growth of e-mobility, increasing amounts of lithium-ion batteries are produced and returned after their lifetime. However, these returns will lead to new challenges for manufacturers and recyclers, considering the end-of-life. Especially the increasing interaction between forward and reverse supply chain and the related decision on the end-of-life options (e.g., recycling, remanufacturing, and reuse) need to be planned and executed in a sophisticated way. Therefore, we focus on the interactions between recycler and manufacturer as two of the major actors of each supply chain. We formulate optimization models for the master recycling scheduling and the master production scheduling. To analyze current decentralized decisions of the recycler and remanufacturer, we further formulate an integrated master production and recycling scheduling model. In the following, we describe the production and recycling of lithium-ion batteries in a case study. Here, we examine five different scenarios. We find that for all scenarios, manufacturer and recycler achieve positive contribution margins. However, inefficiencies always occur due to opportunistic behavior. As a result, reuse is performed only in case of centralized planning. Hence, coordination is needed between the forward and reverse supply chain to achieve the maximal contribution margin.

Keywords: Closed-loop supply chain; Production planning; Recycling planning; Master production scheduling; Lithium-ion battery (search for similar items in EconPapers)
JEL-codes: C61 M11 Q53 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11573-020-00999-7

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