Sequencing mixed-model assembly lines with demand management: problem development and efficient multi-objective algorithms. Issue 7 (3rd July 2021)

• Record Type: Journal Article
• Authors: Tanhaie, F.; Rabbani, M.; Manavizadeh, N.
• Is Part Of: Engineering optimization. Volume 53:Issue 7(2021)
• Page Start: 1101
• Page End: 1118
• Publication Date: 2021-07-03
• Subjects: MMAL -- sequencing -- fuzzy TOPSIS approach -- MOPSO -- MOA; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2020.1759580
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : As a kind of production line, the mixed-model assembly line (MMAL) has been progressively adopted by industries to satisfy the diversification of customer demands. This study applied an MMAL sequencing problem for a make-to-order (MTO) strategy. Using the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach, this study sorted customer orders, satisfying these by a desired due date being the main feature in MTO systems. This MMAL problem was investigated to achieve three minimization objectives: total set-up cost, number of work overload situations, and total earliness and tardiness costs, according to the specified priority of orders. Accordingly, a multi-objective particle swarm optimization (MOPSO) algorithm was developed for the proposed NP-hard model and the algorithm parameters were tuned by applying the Taguchi technique to the experimental design. The computational results of a comparison between the proposed MOPSO model and four multi-objective algorithms confirmed its advantages.