Disassembly sequence planning: A survey

Xiwang Guo, Meng Chu Zhou, Abdullah Abusorrah, Fahad Alsokhiry, Khaled Sedraoui

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

It is well-recognized that obsolete or discarded products can cause serious environmental pollution if they are poorly be handled. They contain reusable resource that can be recycled and used to generate desired economic benefits. Therefore, performing their efficient disassembly is highly important in green manufacturing and sustainable economic development. Their typical examples are electronic appliances and electromechanical &#x002F mechanical products. This paper presents a survey on the state of the art of disassembly sequence planning &#x0028 DSP &#x0029 . It can help new researchers or decision makers to search for the right solution for optimal disassembly planning. It reviews the disassembly theory and methods that are applied for the processing, repair, and maintenance of obsolete &#x002F discarded products. This paper discusses the recent progress of disassembly sequencing planning including new theories and methods in four major aspects: product disassembly modeling methods, mathematical programming methods, artificial intelligence &#x0028 AI &#x0029 methods, and uncertainty handling. This survey should stimulate readers to be engaged in the research, development and applications of disassembly and remanufacturing methodologies.

Original languageEnglish (US)
JournalIEEE/CAA Journal of Automatica Sinica
DOIs
StateAccepted/In press - 2020

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Artificial Intelligence

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