Solving a new multi-objective multi-route flexible flow line problem by multi-objective particle swarm optimization and NSGA-II. (July 2015)

• Record Type: Journal Article
• Authors: Ghodratnama, A.; Jolai, F.; Tavakkoli-Moghaddam, R.
• Is Part Of: Journal of manufacturing systems. Volume 36(2015)
• Page Start: 189
• Page End: 202
• Publication Date: 2015-07
• Subjects: Flexible flow line problem (FFL) -- Processing route -- Multi-objective particle swarm optimization -- MOPSO -- NSGA-II; Manufacturing processes -- Periodicals; Production engineering -- Data processing -- Periodicals; Robots, Industrial -- Periodicals; Production, Technique de la -- Informatique -- Périodiques; Robots industriels -- Périodiques; Electronic journals; 670.42
• DOI: 10.1016/j.jmsy.2014.06.009
• Languages: English
• ISSNs: 0278-6125

Abstract

Highlights: We consider a FFL problem with three objectives. Two new objectives are presented. MOPSO and NSGA-II are proposed to solve the problem. Abstract: Mass production, meeting the increasing demands of the customers is a necessity. Such a production is mainly dependent on a factory manufacturing called flow line production. This paper deals with special type of production by the name of flexible manufacturing system, assuming the presence of multi processors in each station of a multi-station arrangement. The model debated in the paper possesses three objective functions, the first of which attempts to minimize the weighted delays. The second objective function tries to minimize the capital for the purchase of the processors at stations and the third objective function minimizes the capital dedicated to select the optimum processing route of parts. For the validation of the mathematical model, use has been made of NSAGAII and MOPSO approaches.