TY - JOUR
T1 - Disassembly Sequence Planning
T2 - A Survey
AU - Guo, Xiwang
AU - Zhou, Mengchu
AU - Abusorrah, Abdullah
AU - Alsokhiry, Fahad
AU - Sedraoui, Khaled
N1 - Funding Information:
Manuscript received July 7, 2020; revised September 24, 2020; accepted November 4, 2020. This work was supported in part by the Research Foundation of China (L2019027), Liaoning Revitalization Talents Program (XLYC1907166), and the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah (KEP-2-135-39). Recommended by Associate Editor Jun Zhang. (Corresponding author: MengChu Zhou.) Citation: X. W. Guo, M. C. Zhou, A. Abusorrah, F. Alsokhiry, and K. Sedraoui, “Disassembly sequence planning: A survey,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 7, pp. 1308–1324, Jul. 2021.
Publisher Copyright:
© 2014 Chinese Association of Automation.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Artificial intelligence (AI)
KW - disassembly sequence planning (DSP)
KW - intelligent optimization
KW - modeling methods
KW - multiobjective optimization
KW - single-objective optimization
KW - uncertainty
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U2 - 10.1109/JAS.2020.1003515
DO - 10.1109/JAS.2020.1003515
M3 - Review article
AN - SCOPUS:85096352140
SN - 2329-9266
VL - 8
SP - 1308
EP - 1324
JO - IEEE/CAA Journal of Automatica Sinica
JF - IEEE/CAA Journal of Automatica Sinica
IS - 7
M1 - 9269520
ER -