Service-oriented disassembly sequence planning for electrical and electronic equipment waste

Kai Xia, Liang Gao, Lihui Wang, Weidong Li, Xinyu Li, Winifred Ijomah

Research output: Contribution to journalArticle

10 Citations (Scopus)
18 Downloads (Pure)

Abstract

Disassembly sequence planning plays an important role in the end-of-life treatment of electrical and electronic equipment waste (e-waste). Effective planning methods can improve recovery rates and reduce environmental impacts of e-waste. In previous work, neither mathematical models nor optimization algorithms offered a satisfactory solution for this multi-objective disassembly problem. We present a multi-objective model for the problem and a modified teaching-learning-based optimization (MTLBO) algorithm to find the Pareto-optimal frontier. We use numerical simulations to demonstrate and verify the effectiveness and robustness of the algorithm. To do effective disassembly planning, all the participants in the lifecycle of e-waste should work together. Disassembly and recovery of e-waste involve complex processes across the lifecycle. Information support services, disassembly modeling and optimization services must be integrated using computer networks. We also propose a service-oriented framework to support business integration for the participants in the e-waste lifecycle. Effective and optimized disassembly planning can be achieved by invoking the related distributed services. The proposed framework is a novel e-business application for the end-of-life treatment of e-waste.
Original languageEnglish
Number of pages29
Journal Electronic Commerce Research and Applications
Early online date3 Oct 2016
DOIs
Publication statusE-pub ahead of print - 3 Oct 2016

Keywords

  • disassembly sequence planning
  • environmental issues
  • e-business
  • math programming
  • service oriented
  • multi-objective optimization
  • sustainability
  • services
  • e-waste
  • electrical waste
  • electronic equipment
  • modified teaching-learning-based optimization
  • Pareto-optimal frontier

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