A Weighted Multiobjective Optimization Method for Mixed-Model Assembly Line Problem | Zendy

Şükran Şeker | Zendy; Mesut Özgürler | Zendy; Mehmet Tanyaş | Zendy

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A Weighted Multiobjective Optimization Method for Mixed-Model Assembly Line Problem

Author(s) -

Şükran Şeker,

Mesut Özgürler,

Mehmet Tanyaş

Publication year - 2013

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2013/531056

Subject(s) - integer programming , computer science , assembly line , constraint (computer aided design) , line (geometry) , product (mathematics) , mathematical optimization , variety (cybernetics) , multi objective optimization , operations research , engineering , algorithm , mathematics , mechanical engineering , geometry , artificial intelligence

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

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