Sustainable operator assignment in an assembly line using genetic algorithm

Zaman, T; Paul, SK; Azeem, A

Sustainable operator assignment in an assembly line using genetic algorithm

Zaman, T Paul, SK

Azeem, A

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Publication Type:: Journal Article
Citation:: International Journal of Production Research, 2012, 50 (18), pp. 5077 - 5084
Issue Date:: 2012-09-15

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Field	Value	Language
dc.contributor.author	Zaman, T	en_US
dc.contributor.author	Paul, SK https://orcid.org/0000-0001-9523-179X	en_US
dc.contributor.author	Azeem, A	en_US
dc.date.issued	2012-09-15	en_US
dc.identifier.citation	International Journal of Production Research, 2012, 50 (18), pp. 5077 - 5084	en_US
dc.identifier.issn	0020-7543	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115282
dc.description.abstract	This paper addresses the operator assignment in predefined workstations of an assembly line to get a sustainable result of fitness function of cycle time, total idle time and output where genetic algorithm is used as a solving tool. A proper operator assignment is important to get a sustainable balanced line. To improve the efficiency and meet the desired target output within the time limit, a balanced assembly line is a must. Real world lines consist of a large number of tasks and it is very time consuming and crucial to choose the most suitable operator for a particular workstation. In addition, it is very important to assign the suitable operator at the right place as his skill of operating machines finally reflects in productivity or in the cost of production. To verify better assignments of workers, a genetic algorithm is adopted here. A heuristic is proposed to find out the sustainable assignment of operators in the predefined workstations. © 2012 Taylor & Francis.	en_US
dc.relation.ispartof	International Journal of Production Research	en_US
dc.relation.isbasedon	10.1080/00207543.2011.636764	en_US
dc.subject.classification	Operations Research	en_US
dc.title	Sustainable operator assignment in an assembly line using genetic algorithm	en_US
dc.type	Journal Article
utslib.citation.volume	18	en_US
utslib.citation.volume	50	en_US
utslib.for	010206 Operations Research	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	closed_access
pubs.issue	18	en_US
pubs.publication-status	Published	en_US
pubs.volume	50	en_US

Abstract:

This paper addresses the operator assignment in predefined workstations of an assembly line to get a sustainable result of fitness function of cycle time, total idle time and output where genetic algorithm is used as a solving tool. A proper operator assignment is important to get a sustainable balanced line. To improve the efficiency and meet the desired target output within the time limit, a balanced assembly line is a must. Real world lines consist of a large number of tasks and it is very time consuming and crucial to choose the most suitable operator for a particular workstation. In addition, it is very important to assign the suitable operator at the right place as his skill of operating machines finally reflects in productivity or in the cost of production. To verify better assignments of workers, a genetic algorithm is adopted here. A heuristic is proposed to find out the sustainable assignment of operators in the predefined workstations. © 2012 Taylor & Francis.

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http://hdl.handle.net/10453/115282