An energy-efficient multi-objective integrated process planning and scheduling for a flexible job-shop-type remanufacturing system

Wenkang Zhang, Yufan Zheng*, Rafiq Ahmad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

This study considers an energy-efficient multi-objective integrated process planning and scheduling (IPPS) problem for the remanufacturing system (RMS) integrating parallel disassembly, flexible job-shop-type reprocessing, and parallel reassembly shops with the goal of realizing the minimization of both energy cost and completion time. The multi-objective mixed-integer programming model is first constructed with consideration of operation, sequence, and process flexibilities in the RMS for identifying this scheduling issue mathematically. An improved spider monkey optimization algorithm (ISMO) with a global criterion multi-objective method is developed to address the proposed problem. By embedding dynamic adaptive inertia weight and various local neighborhood searching strategies in ISMO, its global and local search capabilities are improved significantly. A set of simulation experiments are systematically designed and conducted for evaluating ISMO's performance. Finally, a case study from the real-world remanufacturing scenario is adopted to assess ISMO's ability to handle the realistic remanufacturing IPPS problem. Simulation results demonstrate ISMO's superiority compared to other baseline algorithms when tackling the energy-aware IPPS problem regarding solution accuracy, computing speed, solution stability, and convergence behavior. Meanwhile, the case study results validate ISMO's supremacy in solving the real-world remanufacturing IPPS problem with relatively lower energy usage and time cost.

Original languageEnglish
Article number102010
JournalAdvanced Engineering Informatics
Volume56
DOIs
Publication statusPublished - Apr 2023

Keywords

  • Energy consumption
  • Improved spider monkey optimization algorithm
  • Integrated process planning and scheduling
  • Job-shop-type reprocessing shop
  • Remanufacturing system

Fingerprint

Dive into the research topics of 'An energy-efficient multi-objective integrated process planning and scheduling for a flexible job-shop-type remanufacturing system'. Together they form a unique fingerprint.

Cite this