Assembly sequence planning using soft computing methods: A review-Reference-Cited by-同舟云学术

Assembly sequence planning using soft computing methods: A review

Published:2018-03-29 Issue:3 Volume:233 Page:653-683
ISSN:0954-4089
Container-title:Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Author:

Deepak BBVL¹,Bala Murali G¹,Bahubalendruni MVA Raju²^ORCID,Biswal BB¹

Affiliation:

1. Department of Industrial Design, National Institute of Technology, Rourkela, India

2. Department of Mechanical Engineering, GMR Institute of Technology, Rajam, India

Abstract

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.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/0954408918764459

Reference90 articles.

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3. Automatic assembly sequence planning from STEP CAD files

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