Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization

Purpose Environmental problems in manufacturing industries are a global issue owing to severe lack fossil resources. In assembly sequence planning (ASP), the research effort mainly aims to improve profit and human-related factors, but it still lacks in the consideration of the environmental issue....

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Main Authors:	Abdullah, Arif, M. F. F., Ab Rashid, Ponnambalam, S. G., Zakri, Ghazalli
Format:	Article
Language:	English
Published:	Emerald Publishing Limited 2019
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/25652/ http://umpir.ump.edu.my/id/eprint/25652/ http://umpir.ump.edu.my/id/eprint/25652/1/2019%20EEASP%20Assy%20Auto%20AA-06-2018-091.pdf

id	ump-25652
recordtype	eprints
spelling	ump-256522019-11-21T03:18:25Z http://umpir.ump.edu.my/id/eprint/25652/ Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization Abdullah, Arif M. F. F., Ab Rashid Ponnambalam, S. G. Zakri, Ghazalli TS Manufactures Purpose Environmental problems in manufacturing industries are a global issue owing to severe lack fossil resources. In assembly sequence planning (ASP), the research effort mainly aims to improve profit and human-related factors, but it still lacks in the consideration of the environmental issue. This paper aims to present an energy-efficient model for the ASP problem. Design/methodology/approach The proposed model considered energy utilization during the assembly process, particularly idle energy utilization. The problem was then optimized using moth flame optimization (MFO) and compared with well-established algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and ant colony optimization (ACO). A computational test was conducted using five assembly problems ranging from 12 to 40 components. Findings The results of the computational experiments indicated that the proposed model was capable of generating an energy-efficient assembly sequence. At the same time, the results also showed that MFO consistently performed better in terms of the best and mean fitness, with acceptable computational time. Originality/value This paper proposed a new energy-efficient ASP model that can be a guideline to design assembly station. Furthermore, this is the first attempt to implement MFO for the ASP problem. Emerald Publishing Limited 2019-04-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25652/1/2019%20EEASP%20Assy%20Auto%20AA-06-2018-091.pdf Abdullah, Arif and M. F. F., Ab Rashid and Ponnambalam, S. G. and Zakri, Ghazalli (2019) Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization. Assembly Automation, 39 (2). pp. 356-368. ISSN 0144-5154 https://doi.org/10.1108/AA-06-2018-091
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Abdullah, Arif M. F. F., Ab Rashid Ponnambalam, S. G. Zakri, Ghazalli Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
description	Purpose Environmental problems in manufacturing industries are a global issue owing to severe lack fossil resources. In assembly sequence planning (ASP), the research effort mainly aims to improve profit and human-related factors, but it still lacks in the consideration of the environmental issue. This paper aims to present an energy-efficient model for the ASP problem. Design/methodology/approach The proposed model considered energy utilization during the assembly process, particularly idle energy utilization. The problem was then optimized using moth flame optimization (MFO) and compared with well-established algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and ant colony optimization (ACO). A computational test was conducted using five assembly problems ranging from 12 to 40 components. Findings The results of the computational experiments indicated that the proposed model was capable of generating an energy-efficient assembly sequence. At the same time, the results also showed that MFO consistently performed better in terms of the best and mean fitness, with acceptable computational time. Originality/value This paper proposed a new energy-efficient ASP model that can be a guideline to design assembly station. Furthermore, this is the first attempt to implement MFO for the ASP problem.
format	Article
author	Abdullah, Arif M. F. F., Ab Rashid Ponnambalam, S. G. Zakri, Ghazalli
author_facet	Abdullah, Arif M. F. F., Ab Rashid Ponnambalam, S. G. Zakri, Ghazalli
author_sort	Abdullah, Arif
title	Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
title_short	Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
title_full	Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
title_fullStr	Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
title_full_unstemmed	Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
title_sort	energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
publisher	Emerald Publishing Limited
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25652/ http://umpir.ump.edu.my/id/eprint/25652/ http://umpir.ump.edu.my/id/eprint/25652/1/2019%20EEASP%20Assy%20Auto%20AA-06-2018-091.pdf
first_indexed	2023-09-18T22:39:31Z
last_indexed	2023-09-18T22:39:31Z
_version_	1777416820344487936

Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization

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