Abstract
Most disassembly optimisation problems start with designing a mathematical representation that can describe component relations. This chapter discusses and compares three major groups of component relation models: the matrix-based model, graph-based model and hybrid-based model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bourjault A (1984) Contribution à une approche méthodologique de l’assemblage automatisé: élaboration automatique des séquences opératoires. Université de Franche-Comté, Thèse D’état
Dini G, Santochi M (1992) Automated sequencing and subassembly detection in assembly planning. CIRP Ann—Manuf Technol 41(1):1–4
Huang Y, Huang C (2002) Disassembly matrix for disassembly process of products. Int J Prod Res 40(2):255–273
Güngör A, Gupta M (2001) Disassembly sequence plan generation using a branch-and-bound algorithm. Int J Prod Res 39(3):481–509
Tao F, Bi L, Zuo Y, Nee A (2018) Partial/parallel disassembly sequence planning for complex products. J Manuf Sci Eng 140(1)
Kalayci C, Gupta S (2014) Ant colony optimization for sequence-dependent disassembly line balancing problem. J Manuf Technol Manag 24(3):413–427
Prenting TO, Battaglin RM (1964) The precedence diagram: a tool for analysis in assembly line balancing. J Ind Eng XV(4):208–213
Ahmadi R, Wurgaft H (1994) Design for synchronized flow manufacturing. Manage Sci 40(11):1395–1578
De Mello L, Sanderson A (1990) AND/OR graph representation of assembly plans. IEEE Trans Robot Autom 6(2):188–199
Koc A, Sabuncuoglu I, Erel E (2009) Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph. IIE Trans 41(10):866–881
Tseng H, Li J, Chang Y (2004) Connector-based approach to assembly planning using a genetic algorithm. Int J Prod Res 42(11):2243–2261
Li J, Khoo L, Tor S (2005) An object-oriented intelligent disassembly sequence planner for maintenance. Elsevier Science Publishers B.V., 56(7):699–718
Zhang H, Kuo T (1997) A graph-based disassembly sequence planning for EOL product recycling. IEEE/CPMT Int 140–151
Smith S, Smith G, Chen W (2012) Disassembly sequence structure graphs: an optimal approach for multiple-target selective disassembly sequence planning. Adv Eng Inform 26(2):306–316
Zhang X, Zhang S (2010) Product cooperative disassembly sequence planning based on branch-and-bound algorithm. Int J Adv Manuf Technol 51(9–12):1139–1147
Zhou M, Venkatesh K (1998) Modeling, simulation and control of flexible manufacturing systems: a Petri net approach. World Sci 6(3)
Guo X, Liu S, Zhou M, Tian G (2015) Disassembly sequence optimization for large-scale products with multiresource constraints using scatter search and Petri nets. IEEE Trans Cybern 46(22):2435–2446
Zhang W, Ma M, Li H, Yu J (2016) Generating interference matrices for automatic assembly sequence planning. Int J Adv Manuf 1–15
Xue J, Qian S, Zhang Y (2010) Disassembly sequence planning based on ant colony optimization algorithm. In: IEEE fifth international conference on bio-inspired computing: theories & applications, pp 1125–1129
Tseng Y, Yu F, Huang F (2011) A green assembly sequence planning model with a closed-loop assembly and disassembly sequence planning using a particle swarm optimization method. Int J Adv Manuf Technol 57(9–12):1183–1197
González B, Adenso-DÃaz B (2006) A scatter search approach to the optimum disassembly sequence problem. Comput Oper Res 33(6):1776–1793
Kalayci C, Polat O (2014) A variable neighborhood search algorithm for disassembly lines. J Manuf Technol Manag 26(2)
Pinto PA, Dannenbring DG, Khumawala BM (1983) Assembly line balancing with processing alternatives: an application. Manage Sci 29(7):817–830
Lu M, Li H (2003) Resource-activity critical-path method for construction planning. J Construct Eng Manag 129(4)
Boysen N, Filedner M, Scholl A (2009) Assembly line balancing joint precedence graphs under high product variety. IIE Trans 41(3):183–193
Riggs RJ, Battaïa O, Hu SJ (2015) Disassembly line balancing under high variety of end of life states using a joint precedence graph approach. J Manuf Sys 37:638–648
Ghandi S, Masehian E (2015) Review and taxonomies of assembly and disassembly path planning problems and approaches. Comput Aided Des 67–68:58–86
Lambert AJD (1999) Linear programming in disassembly/clustering sequence generation. Comput Ind Eng 36(4):723–738
Huang HH, Wang MH, Johnson MR (2000) Disassembly sequence generation using a neural network approach. J Manuf Sys 19(2):73–82
Ma YS, Jun HB, Kim HW, Lee DH (2011) Disassembly process planning algorithms for end-of-life product recovery and environmentally conscious disposal. Int J Prod Res 49(23):7007–7027
Zhou MC, DiCesare F (1993) Petri net synthesis for discrete event control of manufacturing systems. Kluwer, Norwell, MA, USA
Altekin FT (2016) A piecewise linear model for stochastic disassembly line balancing. IFAC-PapersOnLine 49(12):932–937
Ren Y, Yu D, Zhang C, Tian G, Meng L, Zhou X. An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem. Int J Prod Res 55(24):7302–7316
Bentaha ML, Battaïa O, Dolgui A (2014) Disassembly line balancing and sequencing under uncertainty. Procedia CIRP 15:239–244
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Laili, Y., Wang, Y., Fang, Y., Pham, D.T. (2022). Product Representation for Disassembly Sequence Planning. In: Optimisation of Robotic Disassembly for Remanufacturing. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-81799-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-81799-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-81798-5
Online ISBN: 978-3-030-81799-2
eBook Packages: EngineeringEngineering (R0)