%0 Journal Article
%T Assembly sequence planning using soft computing methods: A review
%A BB Biswal
%A BBVL Deepak
%A G Bala Murali
%A MVA Raju Bahubalendruni
%J Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
%@ 2041-3009
%D 2019
%R 10.1177/0954408918764459
%X The implementation of artificial intelligence techniques is increasing rapidly in recent years to solve numerous engineering problems. Assembly sequence planning is one of the prominent complex combinatorial problem draw attention of industrial engineers to economize the overall manufacturing cost by minimizing the assembly time and energy. Due to large search space and multiple assembly predicate criteria, researchers are motivated towards efficient utilization of AI techniques to address the problem. Literature review on various artificial intelligence techniques for obtaining the optimal assembly sequence planning are analyzed and the limitations of the existed methodologies are discussed in detail. This review provides an outlook for the researchers on various artificial intell1igent techniques which will be useful to carry out research for obtaining the optimum assembly sequence planning while qualifying various assembly predicate criteria
%K Artificial intelligence techniques
%K assembly sequence planning
%K assembly sequence generation and assembly predicate criteria
%U https://journals.sagepub.com/doi/full/10.1177/0954408918764459