 Optimising end-of-life laptop remanufacturing decisions using meta-heuristicsGurunathan Anandh, Shanmugam PrasannaVenkatesan, Mark Goh and Gyan Chandra Kushwaha International Journal of Operational Research, 2025, vol. 53, issue 4, 525-555 Abstract: As the lifecycle of a laptop gets shorter, the world should expect more end-of-life (EOL) laptops. Remanufacturing of laptops is viewed as the best EOL alternative for environmental and societal reasons. This research uses a multi-period nonlinear integer programming model to decide the best EOL options for the remanufactured laptop parts based on their quality. Discrete particle swarm optimisation (DPSO) and genetic algorithm (GA) are implemented as a decision support tool in Microsoft Excel to yield the near-optimal solution. Numerical tests are conducted to compare the effectiveness of the two algorithms. For small-sized problems, the solution of the algorithms is compared with the global optimal solution obtained by the full enumeration method. For large problem instances, the solution obtained using the algorithms is compared with each other. A sensitivity analysis is performed to study the impact of the shortage and repair costs and demand on profit. Keywords: WEEE; end of life laptop; remanufacturing; discrete particle swarm optimisation; DPSO; genetic algorithm; GA; nonlinear integer programming. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:53:y:2025:i:4:p:525-555 Access Statistics for this article More articles in International Journal of Operational Research from Inderscience Enterprises Ltd |
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