Abstract
Background: Assembly Sequence Planning (ASP) is an important stage in the process of product design and manufacturing. A reasonable assembly sequence can reduce the complexity of assembly operations, reduce the number of tools and fixtures, improve assembly efficiency, reduce assembly time, and reduce assembly costs.
Methods: The purpose of this paper is to review the objective function, constraint conditions, and the solving methods of the ASP.
Conclusion: The research methods can be roughly divided into three categories: graph-based method, knowledge-based method, and artificial intelligence algorithm. The advantages and disadvantages of the three methods are compared. Finally, future research is discussed, which could provide a reference for the ASP.
Keywords: Assembly sequence planning, optimization objectives, constraint conditions, genetic algorithm, ant colony optimization, particle swarm optimization, artificial neural network
Graphical Abstract
[http://dx.doi.org/10.1007/s00170-008-1458-9]
[http://dx.doi.org/10.1007/s00170-003-1760-5]
[http://dx.doi.org/10.1007/BF01179417]
[http://dx.doi.org/10.1109/JRA.1987.1087132]
[http://dx.doi.org/10.1109/ROBOT.1989.99992]
[http://dx.doi.org/10.1109/70.54734]
[http://dx.doi.org/10.1109/IROS.1993.583945]
[http://dx.doi.org/10.1016/0004-3702(94)90048-5]
[http://dx.doi.org/10.1007/BF01751121]
[http://dx.doi.org/10.1109/70.370514]
[http://dx.doi.org/10.1023/A:1008971030395]
[http://dx.doi.org/10.1016/S0166-3615(03)00015-0]
[http://dx.doi.org/10.1007/s00170-015-7565-5]
[http://dx.doi.org/10.1177/1063293X9400200407]
[http://dx.doi.org/10.1016/j.aei.2005.05.008]
[http://dx.doi.org/10.1007/s00170-006-0438-1]
[http://dx.doi.org/10.1177/1063293X07083084]
[http://dx.doi.org/10.1007/s00170-010-3093-5]
[http://dx.doi.org/10.1155/2013/908316]
[http://dx.doi.org/10.1016/j.procir.2016.10.007]
[http://dx.doi.org/10.1109/ETFA.1995.496663]
[http://dx.doi.org/10.1007/s00170-008-1576-4]
[http://dx.doi.org/10.1007/s00170-009-2449-1]
[http://dx.doi.org/10.1080/00207540903229173]
[http://dx.doi.org/10.1007/s00170-010-2738-8]
[http://dx.doi.org/10.1109/TLA.2016.7530396]
[http://dx.doi.org/10.1007/s00170-016-9449-8]
[http://dx.doi.org/10.1049/el.2018.0609]
[http://dx.doi.org/10.4028/www.scientific.net/AMR.712-715.2482]
[http://dx.doi.org/10.1007/s00170-012-4695-x]
[http://dx.doi.org/10.1109/TLA.2015.7106336]
[http://dx.doi.org/10.1108/AA-11-2016-143]
[http://dx.doi.org/10.1007/s00170-016-9822-7]
[http://dx.doi.org/10.1007/s00170-013-4782-7]
[http://dx.doi.org/10.1108/AA-07-2012-062]
[http://dx.doi.org/10.1007/s00170-013-5513-9]
[http://dx.doi.org/10.12720/joace.4.2.89-95]
[http://dx.doi.org/10.1007/s10586-017-1331-4]
[http://dx.doi.org/10.1016/j.eswa.2007.01.034]
[http://dx.doi.org/10.1016/j.eswa.2009.05.098]
[http://dx.doi.org/10.1016/j.protcy.2016.03.045]
[http://dx.doi.org/10.1243/095440505X8028]
[http://dx.doi.org/10.1007/s00170-012-4641-y]
[http://dx.doi.org/10.2174/1874444301507010792]
[http://dx.doi.org/10.1007/s00170-015-7873-9]
[http://dx.doi.org/10.1007/s00170-017-0663-9]
[http://dx.doi.org/10.1155/2018/3407646]
[http://dx.doi.org/10.12783/dtetr/icpr2017/17678]