Evolution Balancing of the Small-Sized Wheel Loader Assembly Line

Assembly line balancing not only directly determines production efficiency but also influences precision and quality of key assemblies or even the overall performance of final products. Driven by market demand and development of science and technology, product family must evolve constantly, which ne...

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Main Authors: Rongshen Lai, Liang Hou, Yongming Wu
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2015/213159
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spelling doaj-4ae1d6f6efe3497cb2ff741a5b73dfbb2020-11-24T23:13:39ZengHindawi LimitedShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/213159213159Evolution Balancing of the Small-Sized Wheel Loader Assembly LineRongshen Lai0Liang Hou1Yongming Wu2Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaDepartment of Mechanical and Electrical Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaKey Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550003, ChinaAssembly line balancing not only directly determines production efficiency but also influences precision and quality of key assemblies or even the overall performance of final products. Driven by market demand and development of science and technology, product family must evolve constantly, which necessitates frequent adjustment and rebalancing of product family assembly line (PFAL). In order to maintain production efficiency, improve assembly quality and precision, and reduce costs for adjustment, the evolution balancing problem of PFAL for small-sized wheel loader is solved in this paper. Firstly, the evolution balancing model of PFAL is put forward. Then, with minimizing the number of workstations, the in-station and between-station load indexes and adjustment costs, and maximizing relevancy between activities as optimization objectives, meanwhile regarding product platform planning, modularity design and the critical chain technology in concurrent engineering as constraint conditions, the evolution balancing problem of PFAL is optimized using improved genetic algorithm (IGA). Finally, the whole analysis procedure is demonstrated by the small-sized wheel loader PFAL case study and the effectiveness of the proposed method is verified.http://dx.doi.org/10.1155/2015/213159
collection DOAJ
language English
format Article
sources DOAJ
author Rongshen Lai
Liang Hou
Yongming Wu
spellingShingle Rongshen Lai
Liang Hou
Yongming Wu
Evolution Balancing of the Small-Sized Wheel Loader Assembly Line
Shock and Vibration
author_facet Rongshen Lai
Liang Hou
Yongming Wu
author_sort Rongshen Lai
title Evolution Balancing of the Small-Sized Wheel Loader Assembly Line
title_short Evolution Balancing of the Small-Sized Wheel Loader Assembly Line
title_full Evolution Balancing of the Small-Sized Wheel Loader Assembly Line
title_fullStr Evolution Balancing of the Small-Sized Wheel Loader Assembly Line
title_full_unstemmed Evolution Balancing of the Small-Sized Wheel Loader Assembly Line
title_sort evolution balancing of the small-sized wheel loader assembly line
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2015-01-01
description Assembly line balancing not only directly determines production efficiency but also influences precision and quality of key assemblies or even the overall performance of final products. Driven by market demand and development of science and technology, product family must evolve constantly, which necessitates frequent adjustment and rebalancing of product family assembly line (PFAL). In order to maintain production efficiency, improve assembly quality and precision, and reduce costs for adjustment, the evolution balancing problem of PFAL for small-sized wheel loader is solved in this paper. Firstly, the evolution balancing model of PFAL is put forward. Then, with minimizing the number of workstations, the in-station and between-station load indexes and adjustment costs, and maximizing relevancy between activities as optimization objectives, meanwhile regarding product platform planning, modularity design and the critical chain technology in concurrent engineering as constraint conditions, the evolution balancing problem of PFAL is optimized using improved genetic algorithm (IGA). Finally, the whole analysis procedure is demonstrated by the small-sized wheel loader PFAL case study and the effectiveness of the proposed method is verified.
url http://dx.doi.org/10.1155/2015/213159
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AT lianghou evolutionbalancingofthesmallsizedwheelloaderassemblyline
AT yongmingwu evolutionbalancingofthesmallsizedwheelloaderassemblyline
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