Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer

Mohd Fadzil Faisae, Ab Rashid and Nik Mohd Zuki, Nik Mohamed and Oumer, Ahmed Nurye (2022) Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer. International Journal of Integrated Engineering, 14 (1). pp. 25-39. ISSN 2229-838X. (Published)

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Abstract

Energy utilization is a global issue due to the reduction of fossil resources and also negative environmental effect. The assembly process in the manufacturing sector needs to move to a new dimension by taking into account energy utilization when designing the assembly line. Recently, researchers studied assembly line balancing (ALB) by considering energy utilization. However, the current works were limited to robotic assembly line problem. This work has proposed a model of energy efficient ALB (EE-ALB) and optimize the problem using a new modified moth flame optimizer (MMFO). The MMFO introduces the best flame concept to guide the global search direction. The proposed MMFO is tested by using 34 cases from benchmark problems. The numerical experiment results showed that the proposed MMFO, in general, is able to optimize the EE-ALB problem better compared to five comparison algorithms within reasonable computational time. Statistical test indicated that the MMFO has a significant performance in 75% of the cases. The proposed model can be a guideline for manufacturer to set up a green assembly line in future.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Energy utilization; Line balancing; Manufacturing systems; Moth flame optimization
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Faculty/Division: College of Engineering
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 31 Oct 2022 09:14
Last Modified: 31 Oct 2022 09:14
URI: http://umpir.ump.edu.my/id/eprint/35148
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