A case study of energy efficient assembly sequence planning problem

Energy efficiency has become an important issue in manufacturing industry, since it is one of the biggest energy consumers in the world. Despite the importance of energy efficiency, it is much obvious that the research in assembly sequence that focus on environmental aspect is still lacking. In A...

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Main Authors: Muhammad Arif, Abdullah, Ahmad Nasser, Mohd Rose, Zakri, Ghazalli
Format: Article
Language:English
Published: IOP Conf. Series: Materials Science and Engineering 469 (2019) 012013 2019
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Online Access:http://umpir.ump.edu.my/id/eprint/24068/
http://umpir.ump.edu.my/id/eprint/24068/
http://umpir.ump.edu.my/id/eprint/24068/1/1.%20%282019%29%20M.%20A.%20Abdullah%20et%20al.%20-%20A%20Case%20Study%20of%20Energy%20Efficient%20Assembly%20Sequence%20Planning%20Problem.pdf
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spelling ump-240682019-01-30T08:36:10Z http://umpir.ump.edu.my/id/eprint/24068/ A case study of energy efficient assembly sequence planning problem Muhammad Arif, Abdullah Ahmad Nasser, Mohd Rose Zakri, Ghazalli Ahmad Nasser, Mohd Rose T Technology (General) TJ Mechanical engineering and machinery Energy efficiency has become an important issue in manufacturing industry, since it is one of the biggest energy consumers in the world. Despite the importance of energy efficiency, it is much obvious that the research in assembly sequence that focus on environmental aspect is still lacking. In Assembly Sequence Planning (ASP), the research on problem optimization is mainly demanded for the effective computational approach to determine the best assembly sequence. This paper presents a case study from an electronic product assembly that considers the energy utilization during assembly process. In particular, the case study focuses to reduce the idle energy utilization in assembly process. The case study was optimized using newly proposed Moth-Flame Optimization (MFO) and then being compared with well-frequent used algorithms including Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). The result of the computational experiment test was divided into comparison of assembly layout between MFO proposed layout and existing layout. Besides, the statistical test involving Analysis of Variance (ANOVA) and post-hoc test of Fisher’s Least Significant Difference (LSD) were then conducted. The proposed MFO performed better in terms of the best minimum fitness (0.401681), average fitness (0.415308), standard deviation of fitness (0.022601), with appropriate computational time and power consumed. In meantime, the results also indicated that the case study was suitable in the development of energy efficient model for ASP IOP Conf. Series: Materials Science and Engineering 469 (2019) 012013 2019 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/24068/1/1.%20%282019%29%20M.%20A.%20Abdullah%20et%20al.%20-%20A%20Case%20Study%20of%20Energy%20Efficient%20Assembly%20Sequence%20Planning%20Problem.pdf Muhammad Arif, Abdullah and Ahmad Nasser, Mohd Rose and Zakri, Ghazalli and Ahmad Nasser, Mohd Rose (2019) A case study of energy efficient assembly sequence planning problem. 1st International Postgraduate Conference on Mechanical Engineering (IPCME2018), 469 (012013). doi:10.1088/1757-899X/469/1/012013
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Muhammad Arif, Abdullah
Ahmad Nasser, Mohd Rose
Zakri, Ghazalli
Ahmad Nasser, Mohd Rose
A case study of energy efficient assembly sequence planning problem
description Energy efficiency has become an important issue in manufacturing industry, since it is one of the biggest energy consumers in the world. Despite the importance of energy efficiency, it is much obvious that the research in assembly sequence that focus on environmental aspect is still lacking. In Assembly Sequence Planning (ASP), the research on problem optimization is mainly demanded for the effective computational approach to determine the best assembly sequence. This paper presents a case study from an electronic product assembly that considers the energy utilization during assembly process. In particular, the case study focuses to reduce the idle energy utilization in assembly process. The case study was optimized using newly proposed Moth-Flame Optimization (MFO) and then being compared with well-frequent used algorithms including Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). The result of the computational experiment test was divided into comparison of assembly layout between MFO proposed layout and existing layout. Besides, the statistical test involving Analysis of Variance (ANOVA) and post-hoc test of Fisher’s Least Significant Difference (LSD) were then conducted. The proposed MFO performed better in terms of the best minimum fitness (0.401681), average fitness (0.415308), standard deviation of fitness (0.022601), with appropriate computational time and power consumed. In meantime, the results also indicated that the case study was suitable in the development of energy efficient model for ASP
format Article
author Muhammad Arif, Abdullah
Ahmad Nasser, Mohd Rose
Zakri, Ghazalli
Ahmad Nasser, Mohd Rose
author_facet Muhammad Arif, Abdullah
Ahmad Nasser, Mohd Rose
Zakri, Ghazalli
Ahmad Nasser, Mohd Rose
author_sort Muhammad Arif, Abdullah
title A case study of energy efficient assembly sequence planning problem
title_short A case study of energy efficient assembly sequence planning problem
title_full A case study of energy efficient assembly sequence planning problem
title_fullStr A case study of energy efficient assembly sequence planning problem
title_full_unstemmed A case study of energy efficient assembly sequence planning problem
title_sort case study of energy efficient assembly sequence planning problem
publisher IOP Conf. Series: Materials Science and Engineering 469 (2019) 012013
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/24068/
http://umpir.ump.edu.my/id/eprint/24068/
http://umpir.ump.edu.my/id/eprint/24068/1/1.%20%282019%29%20M.%20A.%20Abdullah%20et%20al.%20-%20A%20Case%20Study%20of%20Energy%20Efficient%20Assembly%20Sequence%20Planning%20Problem.pdf
first_indexed 2023-09-18T22:36:15Z
last_indexed 2023-09-18T22:36:15Z
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