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FLEXIBLE MANUFACTURING SYSTEMS SELECTION

USING AHP AND FUZZY PROMETHEE APPROACH

Abstract

Flexible manufacturing systems (FMSs) are considered to be advanced manufacturing technologies to improve flexibility and quality, reduce work-in-process (WIP), inventory levels, manufacturing lead-times, and set up costs of a manufacturing company. Therefore, selecting the most appropriate flexible manufacturing system has emerged as the critical issue for the success of companies. FMS selection can be viewed as a multi-criteria decision making problem due to the availability of quantitative and qualitative criteria that have to be considered in the decision-making process. For these reasons, integrated fuzzy multi-criteria decision-making (FMCDM) methodology has been proposed and an illustrative example is presented. For this purpose, we have selected four main and

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twelve sub-criteria through literature review. Then, all the weights of criteria have been calculated by applying the AHP method. The fuzzy PPROMETHEE method is then employed to achieve the final ranking results. Five representative flexible manufacturing systems were evaluated and the most appropriate one was selected.

Keywords: Flexible Manufacturing Systems, Analytic Hierarchy Process (AHP), Fuzzy Promethee, Multi-Criteria Decision-Making (MCDM)

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1 _{E.E. Karsak-O. Kuzgunkaya, “A Fuzzy Multiple Objective Programming Approach for the}

Selection of a Flexible Manufacturing System”, International Journal of Production

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1. EÜS Seçimini Etkileyen Kriterler

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2 _{J. Shang-T. Sueyoshi, “A Unified Framework for the Selection of A Flexible Manufacturing}

System”, European Journal of Operational Research, Vol. 85, No. 2, 1995, s. 297-315.

3 _{J. Sarkis-S. Talluri, “A Decision Model for Evaluation of Flexible Manufacturing Systems}

in the Presence Of both Cardinal and Ordinal Factors”, International Journal of Production

Research, Vol. 37, No. 13, s. 2927- 2938. 4 _{E.E. Karsak- O. Kuzgunkaya, a.g.m., s. 101-111.} 5 _{J. Shang-T. Sueyoshi, a.g.m., s. 297-315.}

6 _{E.E. Karsak, “Distance-Based Fuzzy MCDM Approach for Evaluating Flexible}

Manufacturing System Alternatives”, International Journal of Production Research, Vol. 40, No. 13, 2002, s. 3167-3181.

7 _{E.E. Karsak, “Using Data Envelopment Analysis for Evaluating Flexible Manufacturing}

Systems in the Presence of Imprecise Data”, International Journal of Advanced

Manufacturing Technologies, Vol. 35, No. 9-10, 2008, s. 867-874.

8 _{J. Sarkis, “Evaluating Flexible Manufacturing Systems Alternatives Using Data}

Envelopment Analysis, The Engineering Economist, Vol. 43, No. 1, 1997, s.25-47.

9

O. Bayazit, “Use of AHP in Decision Making for Flexible Manufacturing Systems”,

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10 _{M. Shamsuzzaman YH GL÷HUOHUL ³Applying Linguistic Criteria in FMS Selection:}

Fuzzy-Set-AHP Approach”, Integrated Manufacturing Systems, Vol.14, No.3, 2003, s.247-254.

11

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'H÷HUOHQGLUPH<|Qtemi Yazarlar Matematiksel Metotlar

TamVD\ÕOÕSURJUDPODPD Sujono ve Lashkari, 2007

Dinamik programlama Kulatilaka, 1988

6H]JLVHO+HXULVWLN\DNODúÕP Hwan ve Shogan, 1989

Simülasyon Chan vd., 2000

Veri zarflama analizi (VZA) Sarkis, 1997; Sarkis ve Talluri, 1999

%XODQÕN9=$ Karsak, 2008

%XODQÕNKHGHISURJUDPODPD Karsak ve Kuzgunkaya, 2002

Ekonomik Analiz Yöntemleri

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%XODQÕN7236,6\|QWHPL Karsak, 2002

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15

T.L. Saaty, Fundamentals of Decision Making and Priority Theory with The Analytic

Hierarchy Process, Pittsburgh, RWS Publications, USA, 2006, s. 10-11.

16 _{G. ,úLNODU-G. Büyüközkan, “Using A Multi-Criteria Decision Making Approach To}

Evaluate Mobile Phone Alternatives”, Computer Standards & Interfaces, Vol. 29, No. 2, 2007, s. 270.

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17 _{R.U. Bilsel YHGL÷HUOHUL³A Fuzzy Preference- Ranking Model for A Quality Evaluation of}

Hospital Web Sites”, International Journal of Intelligent Systems, Vol. 21, No. 11, 2006, s. 1184.

18

Saaty, a.g.k., s.84.

19 _{a.g.k., s.84.} 20 _{a.g.k., s.84.}

21 _{A. Bouri YH GL÷HUOHUL “A multi-criterion Approach for Selecting Attractive Portfolio”,} Journal of Multi-Criteria Decision Analysis, Vol. 11, No. 4-5, 2002, s. 269-277.

22

F. Ülengin YH GL÷HUOHUL ³An Integrated Decision Aid System For Bosphorus Water-Crossing Problem”, European Journal of Operational Research, Vol. 134, No. 1, 2001, s. 179-192.

23

Y.I. Topcu- F. Ulengin, “Energy for the Future: An Integrated Decision Aid for the Case of Turkey”, Energy, Vol. 29, No. 1, 2004, s. 137-154.

24 _{C. Araz ve GL÷HUOHUL ³An Integrated Multi-Criteria Decision-Making Methodology For}

Outsourcing Management”, Computers & Operations Research, Vol. 34, No. 12, 2007, s. 3738-3756.

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32

M. Saremi YHGL÷HUOHUL³740&onsultant Selection in SMEs With TOPSIS Under Fuzzy Environment”, Expert Systems with Applications, Vol. 36, No. 2, 2009, s. 2744.

33 _{M. Goumas-V. Lygerou, “An Extension of the PROMETHEE Method for Decision Making}

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Teknoloji (TK) 1 1/3 0.25

Faaliyet (FA) 3 1 0.75

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