TY - JOUR
T1 - Decision-support system for automotive recycling
T2 - 6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024
AU - Paul, Magdalena
AU - Reinbold, Nora
AU - Ortiz, Covadonga
AU - Reinhart, Gunther
N1 - Publisher Copyright:
© 2025 Elsevier B.V.. All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Decision-support system
KW - ELV
KW - Recycling
UR - http://www.scopus.com/inward/record.url?scp=105000548604&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2025.01.108
DO - 10.1016/j.procs.2025.01.108
M3 - Conference article
AN - SCOPUS:105000548604
SN - 1877-0509
VL - 253
SP - 465
EP - 474
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 13 November 2024 through 15 November 2024
ER -