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Improved moth flame optimization algorithm to optimize cost-oriented two-sided assembly line balancing

M. F. F., Ab Rashid and A. N. M., Rose and N. M. Zuki, N. M. and F. R. M., Romlay (2019) Improved moth flame optimization algorithm to optimize cost-oriented two-sided assembly line balancing. Engineering Computations, 37 (2). pp. 638-663. ISSN 0264-4401

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Abstract

This paper aims to propose an improved Moth Flame Optimization (I-MFO) algorithm to optimize the cost-oriented two-sided assembly line balancing (2S-ALB). Prior to the decision to assemble a new product, the manufacturer will carefully study and optimize the related cost to set up and run the assembly line. For the first time in ALB, the power cost is modeled together with the equipment, set up and labor costs.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Decision-making; Two-sided assembly line; Moth flame optimization; Cost-oriented
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical Engineering
College of Engineering
Depositing User: Dr. Mohd Fadzil Faisae Ab. Rashid
Date Deposited: 07 Aug 2020 03:11
Last Modified: 07 Aug 2020 03:11
URI: http://umpir.ump.edu.my/id/eprint/28785
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