Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3231
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dc.contributor.authorMurali, Gunji Bala-
dc.contributor.authorDeepak, BBVL-
dc.contributor.authorMahanta, Golak Bihari-
dc.contributor.authorRout, Amruta-
dc.contributor.authorBiswal, BB-
dc.date.accessioned2019-02-05T10:14:51Z-
dc.date.available2019-02-05T10:14:51Z-
dc.date.issued2019-01-
dc.identifier.citation7th International Conference on Research Into Design (ICoRD 2019), Bangalore, India, 9 - 11 January 2019.en_US
dc.identifier.urihttp://hdl.handle.net/2080/3231-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractAssembly is one of the manufacturing processes, which occupies approximately 20% of the manufacturing cost of the product. In order to reduce the cost of the assembly, efficient assembly sequence is required. As the Assembly Sequence Planning (ASP) problem is the NP- hard problem, achieving the optimal assembly sequence for the complex products involves large amount of computational time and disk space. More over to achieve the optimal assembly sequence, assembly predicates (liaison data, stability data and mechanical feasibility data) are to be satisfied by the assembly sequence. Extracting the assembly predicates involves huge disk space especially for the complex products. To reduce the effect of difficulty in achieving the optimal assembly sequence, in this paper an attempt is made to apply Design For Assembly (DFA) concept using Improved Firefly Algorithm (IFA). In this initially DFA predicates (contact data, material property data, functionality data and relative motion data) are been extracted from the given assembly and are used to reduce the number of parts in the assembly, by which number of levels of the assembly are been reduced. As the number of levels of the assembly is reduced the energy effort to assembly the parts has been reduced. Later IFA is used to obtain the optimal assembly sequence for the reduced levels of the product. The proposed methodology is implemented on machine block assembly and the results are compared with the general optimal assembly sequence planning techniques.en_US
dc.subjectDesign For Assemblyen_US
dc.subjectAssembly Sequence Planningen_US
dc.subjectAssembly Constraintsen_US
dc.subjectFirefly Algorithmen_US
dc.subjectComputer Aided Design (CAD)en_US
dc.titleDesign for Assembly Approach for Energy Efficient Optimal Assembly Sequence Planning Using Improved Firefly Algorithmen_US
dc.typeArticleen_US
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