Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
Joint Authors
Tahriri, Farzad
Zawiah Md Dawal, Siti
Taha, Zahari
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-07
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines.
In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques.
Hence, this paper is aimed at addressing the multiobjective mixed-model assembly line sequencing problem by integrating job shop and assembly production lines for factories with modular layouts.
The primary goal is to minimize the make-span, setup time, and cost simultaneously in mixed-model assembly lines.
Such conflicting goals arise when switching between different products.
A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.
American Psychological Association (APA)
Tahriri, Farzad& Zawiah Md Dawal, Siti& Taha, Zahari. 2014. Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-452199
Modern Language Association (MLA)
Tahriri, Farzad…[et al.]. Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model. Journal of Applied Mathematics No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-452199
American Medical Association (AMA)
Tahriri, Farzad& Zawiah Md Dawal, Siti& Taha, Zahari. Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-452199
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452199