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

Autor:	Mesut Özgürler, Sukran Seker, Mehmet Tanyaş
Přispěvatelé:	Maltepe Üniversitesi
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	Mixed model Mathematical optimization Article Subject Computer science Work overload Applied Mathematics lcsh:Mathematics lcsh:QA1-939 Multi-objective optimization Constraint (information theory) Product (mathematics) Line balancing Electronics Assembly line
Zdroj:	Journal of Applied Mathematics, Vol 2013 (2013) J. Appl. Math.
ISSN:	1110-757X
DOI:	10.1155/2013/531056
Popis:	WOS: 000322667100001 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb73ebb57e0092b33c741051b610918 Zobrazit plný text záznamu Plný text ve formátu PDF