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Article

A Proposed Reverse Logistics Network for End-of-Life Electric Vehicle Battery Management in the Jakarta Greater Area: A MILP Approach

by
Ibrahim Zaki Bafadal
,
Romadhani Ardi
* and
Nabila Yuraisyah Salsabila
Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2025, 16(8), 476; https://doi.org/10.3390/wevj16080476
Submission received: 2 July 2025 / Revised: 11 August 2025 / Accepted: 13 August 2025 / Published: 20 August 2025

Abstract

The rapid growth of electric vehicles (EVs) in the Jakarta Greater Area is expected to significantly increase the volume of end-of-life (EoL) batteries, necessitating an efficient and sustainable waste management system. This study designs a reverse logistics network that includes Collection Centers (CCs), a combined Remanufacturing and Recycling Center (RMC), and a Waste Disposal Center (WDC). Dealer clusters are identified using K-means clustering to determine the optimal CC locations. A deterministic mixed-integer linear programming (MILP) model is developed to minimize total costs. It comprises acquisition, transportation, processing, facility, and carbon tax components. The model yields a minimum total cost of IDR 1,236,435,000,187, with processing costs contributing the largest share (56.68%), followed by transportation (29.30%). The selected facilities include five CCs (CCA-1, CCE-2, CCK-3, CCM-4, and CCR-5), one RMC (RMC-1), and one WDC (WDC-1). Based on battery health, the batteries are classified into three categories: L1 (>80% health, suitable for remanufacturing), L2 (60–80%, suitable for recycling), and L3 (<60%, directed to disposal). L1 and L2 batteries are directed to RMC-1, while L3 batteries and solid waste are routed to WDC-1, totaling 1.029 tons. The results emphasize the need for improving processing efficiency and strategic facility placement to enhance the sustainability and cost-effectiveness of EoL battery management in urban EV ecosystems.
Keywords: electric vehicle (EV); end-of-life (EoL) battery; reverse logistic network; mixed-integer linear programming (MILP); K-means clustering; optimization electric vehicle (EV); end-of-life (EoL) battery; reverse logistic network; mixed-integer linear programming (MILP); K-means clustering; optimization

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MDPI and ACS Style

Bafadal, I.Z.; Ardi, R.; Yuraisyah Salsabila, N. A Proposed Reverse Logistics Network for End-of-Life Electric Vehicle Battery Management in the Jakarta Greater Area: A MILP Approach. World Electr. Veh. J. 2025, 16, 476. https://doi.org/10.3390/wevj16080476

AMA Style

Bafadal IZ, Ardi R, Yuraisyah Salsabila N. A Proposed Reverse Logistics Network for End-of-Life Electric Vehicle Battery Management in the Jakarta Greater Area: A MILP Approach. World Electric Vehicle Journal. 2025; 16(8):476. https://doi.org/10.3390/wevj16080476

Chicago/Turabian Style

Bafadal, Ibrahim Zaki, Romadhani Ardi, and Nabila Yuraisyah Salsabila. 2025. "A Proposed Reverse Logistics Network for End-of-Life Electric Vehicle Battery Management in the Jakarta Greater Area: A MILP Approach" World Electric Vehicle Journal 16, no. 8: 476. https://doi.org/10.3390/wevj16080476

APA Style

Bafadal, I. Z., Ardi, R., & Yuraisyah Salsabila, N. (2025). A Proposed Reverse Logistics Network for End-of-Life Electric Vehicle Battery Management in the Jakarta Greater Area: A MILP Approach. World Electric Vehicle Journal, 16(8), 476. https://doi.org/10.3390/wevj16080476

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