Locating workstations in tandem automated guided vehicle systems

Salehipour, A; Kazemipoor, H; Moslemi Naeini, L

Locating workstations in tandem automated guided vehicle systems

Salehipour, A

Kazemipoor, H Moslemi Naeini, L

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Publication Type:: Journal Article
Citation:: International Journal of Advanced Manufacturing Technology, 2011, 52 (1-4), pp. 321 - 328
Issue Date:: 2011-01-01

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Field	Value	Language
dc.contributor.author	Salehipour, A https://orcid.org/0000-0003-4866-1396	en_US
dc.contributor.author	Kazemipoor, H	en_US
dc.contributor.author	Moslemi Naeini, L	en_US
dc.date.issued	2011-01-01	en_US
dc.identifier.citation	International Journal of Advanced Manufacturing Technology, 2011, 52 (1-4), pp. 321 - 328	en_US
dc.identifier.issn	0268-3768	en_US
dc.identifier.uri	http://hdl.handle.net/10453/52840
dc.description.abstract	This paper presents a new solution framework to locate the workstations in the tandem automated guided vehicle (AGV) systems. So far, the research has focused on minimizing the total flow or minimizing the total AGV transitions in each zone. In this paper, we focus on minimizing total cumulative flow among workstations. This objective allocates workstations to an AGV route such that total waiting time of workstations to be supplied by the AGV is minimized. We develop a property which simplifies the available mathematical formulation of the problem. We also develop a heuristic algorithm for the problem. Computational results show that our heuristic could yield very high-quality solutions and in many cases optimal solutions. © 2010 Springer-Verlag London Limited.	en_US
dc.relation.ispartof	International Journal of Advanced Manufacturing Technology	en_US
dc.relation.isbasedon	10.1007/s00170-010-2727-y	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Locating workstations in tandem automated guided vehicle systems	en_US
dc.type	Journal Article
utslib.citation.volume	1-4	en_US
utslib.citation.volume	52	en_US
utslib.for	091099 Manufacturing Engineering not elsewhere classified	en_US
utslib.for	089999 Information and Computing Sciences not elsewhere classified	en_US
utslib.for	010299 Applied Mathematics not elsewhere classified	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	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 Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	1-4	en_US
pubs.publication-status	Published	en_US
pubs.volume	52	en_US

Abstract:

This paper presents a new solution framework to locate the workstations in the tandem automated guided vehicle (AGV) systems. So far, the research has focused on minimizing the total flow or minimizing the total AGV transitions in each zone. In this paper, we focus on minimizing total cumulative flow among workstations. This objective allocates workstations to an AGV route such that total waiting time of workstations to be supplied by the AGV is minimized. We develop a property which simplifies the available mathematical formulation of the problem. We also develop a heuristic algorithm for the problem. Computational results show that our heuristic could yield very high-quality solutions and in many cases optimal solutions. © 2010 Springer-Verlag London Limited.

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http://hdl.handle.net/10453/52840