A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines. Issue 3 (1st February 2016)

• Record Type: Journal Article
• Authors: Fathi, Masood; Rodríguez, Victoria; Fontes, Dalila B.M.M.; Alvarez, Maria Jesus
• Is Part Of: International journal of production research. Volume 54:Issue 3(2016)
• Page Start: 878
• Page End: 893
• Publication Date: 2016-02-01
• Subjects: part feeding problem -- assembly line -- tour scheduling -- tow-train loading -- particle swarm optimisation; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2015.1090032
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : The Assembly Line Part Feeding Problem (ALPFP) is a complex combinatorial optimisation problem concerned with the delivery of the required parts to the assembly workstations in the right quantities at the right time. Solving the ALPFP includes simultaneously solving two sub-problems, namely tour scheduling and tow-train loading. In this article, we first define the problem and formulate it as a multi-objective mixed-integer linear programming model. Then, we carry out a complexity analysis, proving the ALPFP to be NP-complete. A modified particle swarm optimisation (MPSO) algorithm incorporating mutation as part of the position updating scheme is subsequently proposed. The MPSO is capable of finding very good solutions with small time requirements. Computational results are reported, demonstrating the efficiency and effectiveness of the proposed MPSO.