An integrated fuzzy algorithm approach to factory floor design incorporating environmental quality and health impact

Azadeh, A; Jebreili, S; Chang, E; Saberi, M; Hussain, OK

An integrated fuzzy algorithm approach to factory floor design incorporating environmental quality and health impact

Azadeh, A Jebreili, S Chang, E Saberi, M

Hussain, OK

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: International Journal of System Assurance Engineering and Management, 2017, 8, (Suppl. 4), pp. S2071-S2082
Issue Date:: 2017-12-01

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Field	Value	Language
dc.contributor.author	Azadeh, A
dc.contributor.author	Jebreili, S
dc.contributor.author	Chang, E
dc.contributor.author	Saberi, M https://orcid.org/0000-0002-5168-2078
dc.contributor.author	Hussain, OK
dc.date.accessioned	2022-07-27T02:08:17Z
dc.date.available	2022-07-27T02:08:17Z
dc.date.issued	2017-12-01
dc.identifier.citation	International Journal of System Assurance Engineering and Management, 2017, 8, (Suppl. 4), pp. S2071-S2082
dc.identifier.issn	0975-6809
dc.identifier.issn	0976-4348
dc.identifier.uri	http://hdl.handle.net/10453/159193
dc.description.abstract	This paper presents an integrated algorithm based on fuzzy simulation, fuzzy linear programming (FLP), and fuzzy data envelopment analysis (FDEA) to cope with a special case of workshop facility layout design problem with ambiguous environmental and health indicators. First a software package is used for generating feasible layout alternatives and then quantitative performance indicators are calculated. Weights are estimated by LP for pairwise comparisons (by linguistic terms) in evaluating certain qualitative performance indicators. Fuzzy simulation is then employed for modeling different layout alternatives with uncertain parameters. Next, the impacts of environment and health indicators are retrieved from a standard questionnaire. Finally, FDEA is used for ranking the alternatives and consequently finding the optimal layout design alternatives. A possibilistic programming approach is used to modify the fuzzy DEA model to an equivalent crisp one. Moreover, fuzzy principal component analysis method is used to validate the results of FDEA model at various α-cut levels by Spearman correlation experiment. This is the first study that presents an integrated algorithm for optimization of facility layout with environmental and health indicators.
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	International Journal of System Assurance Engineering and Management
dc.relation.isbasedon	10.1007/s13198-014-0314-6
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0915 Interdisciplinary Engineering
dc.title	An integrated fuzzy algorithm approach to factory floor design incorporating environmental quality and health impact
dc.type	Journal Article
utslib.citation.volume	8
utslib.for	0102 Applied Mathematics
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-07-27T02:08:16Z
pubs.issue	Suppl. 4
pubs.publication-status	Published
pubs.volume	8
utslib.citation.issue	Suppl. 4

Abstract:

This paper presents an integrated algorithm based on fuzzy simulation, fuzzy linear programming (FLP), and fuzzy data envelopment analysis (FDEA) to cope with a special case of workshop facility layout design problem with ambiguous environmental and health indicators. First a software package is used for generating feasible layout alternatives and then quantitative performance indicators are calculated. Weights are estimated by LP for pairwise comparisons (by linguistic terms) in evaluating certain qualitative performance indicators. Fuzzy simulation is then employed for modeling different layout alternatives with uncertain parameters. Next, the impacts of environment and health indicators are retrieved from a standard questionnaire. Finally, FDEA is used for ranking the alternatives and consequently finding the optimal layout design alternatives. A possibilistic programming approach is used to modify the fuzzy DEA model to an equivalent crisp one. Moreover, fuzzy principal component analysis method is used to validate the results of FDEA model at various α-cut levels by Spearman correlation experiment. This is the first study that presents an integrated algorithm for optimization of facility layout with environmental and health indicators.

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http://hdl.handle.net/10453/159193