Investigation of reconfiguration effect on makespan with social network method for flexible job shop scheduling problem. (August 2017)

• Record Type: Journal Article
• Authors: Sreekara Reddy, M.B.S.; Ratnam, C.h.; Agrawal, Rajeev; Varela, M.L.R.; Sharma, Ila; Manupati, V.K.
• Is Part Of: Computers & industrial engineering. Volume 110(2017)
• Page Start: 231
• Page End: 241
• Publication Date: 2017-08
• Subjects: Flexible job shop scheduling problem -- Social network analysis method -- Integration of process planning and scheduling -- Deoxyribonucleic acid; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2017.06.014
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: Developed a multi-objective mathematical model in the context of FJSSP. Proposed a novel SNAM to evaluate the reconfiguration effect for FJSSP. IPPS integrated with game theory based DNA algorithm has been performed. Abstract: This paper presents a novel social network analysis based method (SNAM) to evaluate the reconfiguration effect i.e., identification of key machines and their influence on the system performance in the context of Flexible job shop scheduling problem (FJSSP). This research formulates a mathematical model along with the constraints by incorporating the total completion time of jobs as an objective function. The proposed SNAM has been applied to generate the collaboration networks by transforming the input data and presenting them in the form of an affiliation matrix to the network analysis software. Thereafter, to analyze the collaboration networks various SNA measures that have been calculated and different functional properties are evaluated. Finally, to investigate the reconfiguration effect on makespan integration of process planning and scheduling (IPPS) has been implemented with adopted effective game theory based hybrid deoxyribonucleic acid (DNA) algorithm. The validation of the proposed approach and its effectiveness is conducted through comparisons with benchmark instances and results confirm the efficiency of the proposed approach.