Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems

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Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. / Ertay, Tijen; Ruan, Da; Tuzkaya, Umut; Maes, Dirk (Peer reviewer); Hardeman, Frank (Peer reviewer).

In: Information Sciences, Vol. 176, 03.2006, p. 237-262.

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@article{358683a89d3b449f963a6d62da604207,
title = "Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems",
abstract = "Facility Layout Design (FLD) has a very important effect on the performance of a manufacturing system. The concept of FLD is usually considered as a multi-objective problem. This paper presents a decision-making methodology based on Data Envelopment Analysis (DEA), which uses both quantitative and qualitative criteria, for evaluating FLD. The criteria that are to be minimized are viewed as inputs whereas the criteria to be maximized are considered as outputs. A computer-aided layout-planning tool, VisFactory, is adopted to facilitate the layout alternative design process as well as to collect quantitative data by using exact and vague data by means of fuzzy set theory. Analytic Hierarchy Process (AHP) is then applied to collect qualitative data related to quality and flexibility. The DEA methodology is used to solve the layout design problem by simultaneously considering both the quantitative and qualitative data. The purposed integrated procedure is applied to a real data set consisting of nineteen FLDs provided of the plastic profile production system.",
keywords = "Decision making, Facility Layout, Robust Design, AHP, DEA, VisFactory",
author = "Tijen Ertay and Da Ruan and Umut Tuzkaya and Dirk Maes and Frank Hardeman",
note = "Score = 10",
year = "2006",
month = mar,
doi = "10.1016/j.ins.2004.12.001",
language = "English",
volume = "176",
pages = "237--262",
journal = "Information Sciences",
issn = "0020-0255",
publisher = "Elsevier",

}

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TY - JOUR

T1 - Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems

AU - Ertay, Tijen

AU - Ruan, Da

AU - Tuzkaya, Umut

A2 - Maes, Dirk

A2 - Hardeman, Frank

N1 - Score = 10

PY - 2006/3

Y1 - 2006/3

N2 - Facility Layout Design (FLD) has a very important effect on the performance of a manufacturing system. The concept of FLD is usually considered as a multi-objective problem. This paper presents a decision-making methodology based on Data Envelopment Analysis (DEA), which uses both quantitative and qualitative criteria, for evaluating FLD. The criteria that are to be minimized are viewed as inputs whereas the criteria to be maximized are considered as outputs. A computer-aided layout-planning tool, VisFactory, is adopted to facilitate the layout alternative design process as well as to collect quantitative data by using exact and vague data by means of fuzzy set theory. Analytic Hierarchy Process (AHP) is then applied to collect qualitative data related to quality and flexibility. The DEA methodology is used to solve the layout design problem by simultaneously considering both the quantitative and qualitative data. The purposed integrated procedure is applied to a real data set consisting of nineteen FLDs provided of the plastic profile production system.

AB - Facility Layout Design (FLD) has a very important effect on the performance of a manufacturing system. The concept of FLD is usually considered as a multi-objective problem. This paper presents a decision-making methodology based on Data Envelopment Analysis (DEA), which uses both quantitative and qualitative criteria, for evaluating FLD. The criteria that are to be minimized are viewed as inputs whereas the criteria to be maximized are considered as outputs. A computer-aided layout-planning tool, VisFactory, is adopted to facilitate the layout alternative design process as well as to collect quantitative data by using exact and vague data by means of fuzzy set theory. Analytic Hierarchy Process (AHP) is then applied to collect qualitative data related to quality and flexibility. The DEA methodology is used to solve the layout design problem by simultaneously considering both the quantitative and qualitative data. The purposed integrated procedure is applied to a real data set consisting of nineteen FLDs provided of the plastic profile production system.

KW - Decision making

KW - Facility Layout

KW - Robust Design

KW - AHP

KW - DEA

KW - VisFactory

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_33021

UR - http://knowledgecentre.sckcen.be/so2/bibref/3676

U2 - 10.1016/j.ins.2004.12.001

DO - 10.1016/j.ins.2004.12.001

M3 - Article

VL - 176

SP - 237

EP - 262

JO - Information Sciences

JF - Information Sciences

SN - 0020-0255

ER -

ID: 288572