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Recovery center selection for end-of-life automotive lithium-ion batteries using an integrated fuzzy WASPAS approach by Dragan Pamucar; Ali Ebadi Torkayesh; Muhammet Deveci; Vladimir Simic is a Computer Science article available to read on EtoBox.

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With the emergence of battery-based electric vehicles, transportation systems gradually leave using fossil fuel-based combustion engines. Due to their reasonable performance, Lithium-ion batteries have become one of the major batteries used for electric vehicles. Although these batteries are being used in most companies, their high production cost, rare raw material, and short life cycle have raised important incentives for their recovery process. However, locating a recovery center for end-of-life Lithium-ion batteries is a multi-aspect decision making problem influenced by many criteria. For this purpose, a novel integrated decision-making model is developed based on Measuring Attractiveness by a Categorical Based Evaluation TecHnique (MACBETH) for calculating the criteria weights and Weight Aggregated Sum Product ASsessment (WASPAS) methods under the fuzzy environment with Dombi norms for evaluating the alternatives to address recovery center location selection problem considering technical as well as environmental, economic, and social aspects. To show the reliability and applicability of the developed method, a real-world case study in Istanbul is investigated. The developed m

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Author

Dragan Pamucar; Ali Ebadi Torkayesh; Muhammet Deveci; Vladimir Simic

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Computer Science (Physical Sciences)