Disassembly Sequence Planning: A Survey

• Published in: IEEE/CAA journal of automatica sinica Vol. 8; no. 7; pp. 1308 - 1324
• Main Authors: Guo, Xiwang, Zhou, MengChu, Abusorrah, Abdullah, Alsokhiry, Fahad, Sedraoui, Khaled
• Format: Journal Article
• Language: English
• Published: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.07.2021; College of Computer and Communication Engineering,Liaoning Shihua University,Fushun 113001,China; Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark NJ 07102 USA%Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark NJ 07102 USA; Center of Research Excellence in Renewable Energy and Power Systems,King Abdulaziz University,Jeddah 21481,Saudi Arabia%Department of Electrical and Computer Engineering,Faculty of Engineering,and the Center of Research Excellence in Renewable Energy and Power Systems,King Abdulaziz University,Jeddah 21481,Saudi Arabia
• Subjects: Artificial intelligence; Artificial intelligence (AI); disassembly sequence planning (DSP); Disassembly sequences; Dismantling; Economic development; intelligent optimization; Mathematical programming; modeling methods; multiobjective optimization; Obsolescence; Optimization; Planning; Recycling; Remanufacturing; Sequential analysis; single-objective optimization; Sustainable development; Uncertainty; intelligent optimization; Artificial intelligence (AI); disassembly sequence planning (DSP); modeling methods; multi-objective optimization; uncertainty; single-objective optimization
• ISSN: 2329-9266; 2329-9274
• DOI: 10.1109/JAS.2020.1003515

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/mechanical products. This paper presents a survey on the state of the art of disassembly sequence planning. 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/discarded products. This paper discusses the recent progress of disassembly sequencing planning in four major aspects: product disassembly modeling methods, mathematical programming methods, artificial intelligence methods, and uncertainty handling. This survey should stimulate readers to be engaged in the research, development and applications of disassembly and remanufacturing methodologies in the Industry 4.0 era.