Decision-support system for automotive recycling: Disassembling components before shredding?

Magdalena Paul, Nora Reinbold, Covadonga Ortiz, Gunther Reinhart

Research output: Contribution to journalConference articlepeer-review

Abstract

In response to the challenges posed by the waste resulting from the increasing number of end-of-life vehicles (ELVs), this publication presents a decision-support system that evaluates automotive components at the end of their life: should they be disassembled before recycling or shredded directly? First, a methodology for developing the decision-support system based on literature and expert input is described. The study further defines eight critical factors that influence recycling decisions: material value, impurity relevance rate, design for disassembly rate, disassembly cost, logistics cost, process emissions, company's concern, and availability of end-of-life channels. These factors are then weighted according to their importance using the Analytical Hierarchy Process (AHP) based on insights from expert interviews. The findings are applied exemplarily on a use case - an automotive door.

Original languageEnglish
Pages (from-to)465-474
Number of pages10
JournalProcedia Computer Science
Volume253
DOIs
StatePublished - 2025
Event6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024 - Prague, Czech Republic
Duration: 13 Nov 202415 Nov 2024

Keywords

  • Decision-support system
  • ELV
  • Recycling

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