A Weighted Multiobjective Optimization Method for Mixed-Model Assembly Line Problem. (24th July 2013)

• Record Type: Journal Article
• Authors: Şeker, Şükran; Özgürler, Mesut; Tanyaş, Mehmet
• Other Names: Qiu Zhiping Academic Editor.
• Is Part Of: Journal of applied mathematics. Volume 2013(2013)
• Publication Date: 2013-07-24
• Subjects: Mathematics -- Periodicals; 519.05
• DOI: 10.1155/2013/531056
• Languages: English
• ISSNs: 1110-757X

Abstract

Abstract : Mixed-model assembly line (MMAL) is a type of assembly line where several distinct models of a product are assembled. MMAL is applied in many industrial environments today because of its greater variety in demand. This paper considers the objective of minimizing the work overload (i.e., the line balancing problem) and station-to-station product flows. Generally, transportation time between stations are ignored in the literature. In this paper, Multiobjective Mixed-Integer Programming (MOMIP) model is presented to optimize these two criteria simultaneously. Also, this MOMIP model incorporates a practical constraint that allows to add parallel stations to assembly line to decrease higher station time. In the last section, MOMIP is applied to optimize the cycle time and transportation time simultaneously in mixed-model assembly line of a real consumer electronics firm in Turkey, and computational results are presented.