BibTex RIS Kaynak Göster

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Yıl 2010, Cilt: 29 Sayı: 2, 555 - 575, 22.04.2015

Kaynakça

  • ALBADVI, A., “Formulating National Information Technology Strategies: A Preference Ranking Model Using PROMETHEE Method”, European Journal of Operational Research, Vol.153, No.2, 2004, s. 290-296.
  • ARAZ, C., ÖZFIRAT, P.M. and ÖZKARAHAN, I., “An Integrated Multi-Criteria Decision-Making Methodology For Outsourcing Management”, Computers & Operations Research, Vol.34, No.12, 2007, s.3738-3756.
  • %$//, 6 .$5$68/8% YH .258.2ö/8 6, “En Uygun Otomobil Seçimi 3UREOHPLøoLQ%LU%XODQÕN3URPHWKHH<|QWHPL8\JXODPDVÕ”, Dokuz Eylül hQLYHUVLWHVLøø%)'HUJLVL, Cilt.226D\Õ1, 2007, s.139-147.
  • BAYAZIT, O., “Use of AHP in Decision Making for Flexible Manufacturing Systems”, Journal of Manufacturing Technology Management, Vol. 16, No. 7, 2005, s. 808-819.
  • BILSEL, R.U., BÜYÜKÖZKAN, G. and RUAN, D., “A Fuzzy Preference- Ranking Model for A Quality Evaluation of Hospital Web Sites”, International Journal of Intelligent Systems, Vol.21, No.11, 2006, s. 1181-1197.
  • BOURI, A., MARTEL, J.M. and CHABCHOUB, H., “A Multi-criterion Approach for Selecting Attractive Portfolio”, Journal of Multi-Criteria Decision Analysis, Vol.11, No.4-5, 2002, s. 269-277.
  • BRANS, J.P. and VINCKE, PH., “A Preference Ranking Organization Method”, Management Science, Vol.31, No.6, 1985, s. 647-656.
  • CHAN, F.T.S., JIANG, B. and TANG, N.K.H., “The Development of Intelligent Decision Support Tools to Aid the Design of Flexible Manufacturing Systems”, International Journal of Production Economics, Vol.65, No.1, 2000, s. 73-84.
  • '$ö'(9ø5(10ve ERASLAN, E., “3URPHWKHH6ÕUDODPD<|QWHPLLOH7HGDULNoL Seçimi”, *D]L hQLYHUVLWHVL 0KHQGLVOLN 0LPDUOÕN )DNOWHVL 'HUJLVL, Cilt.23, 6D\Õ1, 2008, s. 69-75.
  • GOUMAS, M. and LYGEROU, V., “An Extension of the PROMETHEE Method for Decision Making in Fuzzy Environment: Ranking of Alternative Energy Exploitation Projects”, European Journal of Operational Research, Vol.123, No.3, 2000, s. 606-613.
  • HWAN, S.S. and SHOGAN, A.W., “Modeling and Solving an FMS Part Selection Problem”, International Journal of Production Research, Vol.27, No.8, 1989, s. 1349-1366.
  • ,ù,./$5*and BÜYÜKÖZKAN, G., “Using A Multi-Criteria Decision Making Approach To Evaluate Mobile Phone Alternatives”, Computer Standards & Interfaces, Vol.29, No.2, 2007, s. 265-274.
  • KARSAK, E.E., “Distance-Based Fuzzy MCDM Approach For Evaluating Flexible Manufacturing System Alternatives”, International Journal of Production Research, Vol.40, No.13, 2002, s. 3167- 3181.
  • KARSAK, E.E., “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.
  • KARSAK, E.E.- KUZGUNKAYA, O., “A Fuzzy Multiple Objective Programming Approach for the Selection of a Flexible Manufacturing System”, International Journal of Production Economics, Vol.79, No.2, 2002, s. 101-111.
  • KARSAK, E.E.- g=2ö8/&2, “Valuation Of Expansion Flexibility In Flexible Manufacturing System Investments Using Sequential Exchange Options”, International Journal of Systems Science, Vol.36, No.5, 2005, s. 243- 253.
  • KULATILAKA, N., “Valuing the Flexibility of Flexible Manufacturing Systems”, IEEE Transactions on Engineering Management, Vol.35, No.4, 1988, s. 250-257.
  • MILTENBURG, G.J. and KRINSKY, I., “Evaluating Flexible Manufacturing Systems”, IIE Transactions, Vol.19, No.2, 1987, s. 222-233.
  • MOHANTY, R.P.- DESHMUKH, S.G., “Strategic Adoption of a Flexible Manufacturing System: Case Study of an Indian Electronics Enterprise”, Production Planning & Control, Vol.8, No.8, 1997, s. 797-805.
  • SAAT, M., “dRN $PDoOÕ .DUDU 9HUPHGH %LU <DNODúÕP $QDOLWLN +L\HUDUúL Yöntemi”, *høø%)'HUJLVL, Cilt.26D\Õ2000, s. 149-162.
  • SAATY, T.L., “How to Make a Decision: The Analytic Hierarchy Process”, Interfaces, Vol. 24, No.6, 1994, s. 19-43.
  • SAATY, T.L., Fundamentals of Decision Making and Priority Theory with The Analytic Hierarchy Process, Pittsburgh, USA, RWS Publications, 2006.
  • SAREMI, M., MOUSAVI, S.F. and SANAYEI, A., “TQM Consultant selection in SMEs With TOPSIS Under Fuzzy Environment”, Expert Systems With Applications, Vol.36, No.2, 2009, s. 2742-2749.
  • SARKIS, J., “Evaluating Flexible Manufacturing Systems Alternatives Using Data Envelopment Analysis”, The Engineering Economist, Vol.43, No.1, 1997, s.25- 47.
  • SARKIS, J.-TALLURI, S., “A Decision Model for Evaluation of Flexible Manufacturing Systems In The Presence Of Both Cardinal And Ordinal Factors”, International Journal of Production Research, Vol.37, No.13, 1999, s.2927- 2938.
  • SHAMSUZZAMAN, M., ULLAF, A.M.M.S. and BOHEZ, E.L.J., “Applying Linguistic Criteria in FMS Selection: Fuzzy-Set-AHP Approach”, Integrated Manufacturing Systems, Vol.14, No.3, 2003, s. 247-254.
  • SHANG, J.- SUEYOSHI, T., “A Unified Framework for the Selection of A Flexible Manufacturing System”, European Journal of Operational Research, Vol. 85, No.2, 1995, s. 297-315.
  • SUJONO, S.-LASHKARI, R.S., “A Multi-Objective Model of Operation Allocation and Material Handling System Selection in FMS Design”, International Journal of Production Economics, Vol.105, No.1, 2007, s. 116-133.
  • TOPCU, Y.I.-ULENGIN, F., “Energy For the Future: An Integrated Decision Aid For the Case of Turkey”, Energy, Vol.29, No.1, 2004, s. 137-154.
  • ÜLENGIN, F., TOPCU, Y.I.-ù$+,1 ùg, “An Integrated Decision Aid System For Bosphorus Water-Crossing Problem”, European Journal of Operational Research, Vol.134, No.1, 2001, s. 179-192.

AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ

Yıl 2010, Cilt: 29 Sayı: 2, 555 - 575, 22.04.2015

Kaynakça

  • ALBADVI, A., “Formulating National Information Technology Strategies: A Preference Ranking Model Using PROMETHEE Method”, European Journal of Operational Research, Vol.153, No.2, 2004, s. 290-296.
  • ARAZ, C., ÖZFIRAT, P.M. and ÖZKARAHAN, I., “An Integrated Multi-Criteria Decision-Making Methodology For Outsourcing Management”, Computers & Operations Research, Vol.34, No.12, 2007, s.3738-3756.
  • %$//, 6 .$5$68/8% YH .258.2ö/8 6, “En Uygun Otomobil Seçimi 3UREOHPLøoLQ%LU%XODQÕN3URPHWKHH<|QWHPL8\JXODPDVÕ”, Dokuz Eylül hQLYHUVLWHVLøø%)'HUJLVL, Cilt.226D\Õ1, 2007, s.139-147.
  • BAYAZIT, O., “Use of AHP in Decision Making for Flexible Manufacturing Systems”, Journal of Manufacturing Technology Management, Vol. 16, No. 7, 2005, s. 808-819.
  • BILSEL, R.U., BÜYÜKÖZKAN, G. and RUAN, D., “A Fuzzy Preference- Ranking Model for A Quality Evaluation of Hospital Web Sites”, International Journal of Intelligent Systems, Vol.21, No.11, 2006, s. 1181-1197.
  • BOURI, A., MARTEL, J.M. and CHABCHOUB, H., “A Multi-criterion Approach for Selecting Attractive Portfolio”, Journal of Multi-Criteria Decision Analysis, Vol.11, No.4-5, 2002, s. 269-277.
  • BRANS, J.P. and VINCKE, PH., “A Preference Ranking Organization Method”, Management Science, Vol.31, No.6, 1985, s. 647-656.
  • CHAN, F.T.S., JIANG, B. and TANG, N.K.H., “The Development of Intelligent Decision Support Tools to Aid the Design of Flexible Manufacturing Systems”, International Journal of Production Economics, Vol.65, No.1, 2000, s. 73-84.
  • '$ö'(9ø5(10ve ERASLAN, E., “3URPHWKHH6ÕUDODPD<|QWHPLLOH7HGDULNoL Seçimi”, *D]L hQLYHUVLWHVL 0KHQGLVOLN 0LPDUOÕN )DNOWHVL 'HUJLVL, Cilt.23, 6D\Õ1, 2008, s. 69-75.
  • GOUMAS, M. and LYGEROU, V., “An Extension of the PROMETHEE Method for Decision Making in Fuzzy Environment: Ranking of Alternative Energy Exploitation Projects”, European Journal of Operational Research, Vol.123, No.3, 2000, s. 606-613.
  • HWAN, S.S. and SHOGAN, A.W., “Modeling and Solving an FMS Part Selection Problem”, International Journal of Production Research, Vol.27, No.8, 1989, s. 1349-1366.
  • ,ù,./$5*and BÜYÜKÖZKAN, G., “Using A Multi-Criteria Decision Making Approach To Evaluate Mobile Phone Alternatives”, Computer Standards & Interfaces, Vol.29, No.2, 2007, s. 265-274.
  • KARSAK, E.E., “Distance-Based Fuzzy MCDM Approach For Evaluating Flexible Manufacturing System Alternatives”, International Journal of Production Research, Vol.40, No.13, 2002, s. 3167- 3181.
  • KARSAK, E.E., “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.
  • KARSAK, E.E.- KUZGUNKAYA, O., “A Fuzzy Multiple Objective Programming Approach for the Selection of a Flexible Manufacturing System”, International Journal of Production Economics, Vol.79, No.2, 2002, s. 101-111.
  • KARSAK, E.E.- g=2ö8/&2, “Valuation Of Expansion Flexibility In Flexible Manufacturing System Investments Using Sequential Exchange Options”, International Journal of Systems Science, Vol.36, No.5, 2005, s. 243- 253.
  • KULATILAKA, N., “Valuing the Flexibility of Flexible Manufacturing Systems”, IEEE Transactions on Engineering Management, Vol.35, No.4, 1988, s. 250-257.
  • MILTENBURG, G.J. and KRINSKY, I., “Evaluating Flexible Manufacturing Systems”, IIE Transactions, Vol.19, No.2, 1987, s. 222-233.
  • MOHANTY, R.P.- DESHMUKH, S.G., “Strategic Adoption of a Flexible Manufacturing System: Case Study of an Indian Electronics Enterprise”, Production Planning & Control, Vol.8, No.8, 1997, s. 797-805.
  • SAAT, M., “dRN $PDoOÕ .DUDU 9HUPHGH %LU <DNODúÕP $QDOLWLN +L\HUDUúL Yöntemi”, *høø%)'HUJLVL, Cilt.26D\Õ2000, s. 149-162.
  • SAATY, T.L., “How to Make a Decision: The Analytic Hierarchy Process”, Interfaces, Vol. 24, No.6, 1994, s. 19-43.
  • SAATY, T.L., Fundamentals of Decision Making and Priority Theory with The Analytic Hierarchy Process, Pittsburgh, USA, RWS Publications, 2006.
  • SAREMI, M., MOUSAVI, S.F. and SANAYEI, A., “TQM Consultant selection in SMEs With TOPSIS Under Fuzzy Environment”, Expert Systems With Applications, Vol.36, No.2, 2009, s. 2742-2749.
  • SARKIS, J., “Evaluating Flexible Manufacturing Systems Alternatives Using Data Envelopment Analysis”, The Engineering Economist, Vol.43, No.1, 1997, s.25- 47.
  • SARKIS, J.-TALLURI, S., “A Decision Model for Evaluation of Flexible Manufacturing Systems In The Presence Of Both Cardinal And Ordinal Factors”, International Journal of Production Research, Vol.37, No.13, 1999, s.2927- 2938.
  • SHAMSUZZAMAN, M., ULLAF, A.M.M.S. and BOHEZ, E.L.J., “Applying Linguistic Criteria in FMS Selection: Fuzzy-Set-AHP Approach”, Integrated Manufacturing Systems, Vol.14, No.3, 2003, s. 247-254.
  • SHANG, J.- SUEYOSHI, T., “A Unified Framework for the Selection of A Flexible Manufacturing System”, European Journal of Operational Research, Vol. 85, No.2, 1995, s. 297-315.
  • SUJONO, S.-LASHKARI, R.S., “A Multi-Objective Model of Operation Allocation and Material Handling System Selection in FMS Design”, International Journal of Production Economics, Vol.105, No.1, 2007, s. 116-133.
  • TOPCU, Y.I.-ULENGIN, F., “Energy For the Future: An Integrated Decision Aid For the Case of Turkey”, Energy, Vol.29, No.1, 2004, s. 137-154.
  • ÜLENGIN, F., TOPCU, Y.I.-ù$+,1 ùg, “An Integrated Decision Aid System For Bosphorus Water-Crossing Problem”, European Journal of Operational Research, Vol.134, No.1, 2001, s. 179-192.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Selçuk Perçin

Tuba Yakıcı Ayan

Yayımlanma Tarihi 22 Nisan 2015
Gönderilme Tarihi 22 Nisan 2015
Yayımlandığı Sayı Yıl 2010 Cilt: 29 Sayı: 2

Kaynak Göster

APA Perçin, S., & Yakıcı Ayan, T. (2015). AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 29(2), 555-575.
AMA Perçin S, Yakıcı Ayan T. AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. Mart 2015;29(2):555-575.
Chicago Perçin, Selçuk, ve Tuba Yakıcı Ayan. “AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ”. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi 29, sy. 2 (Mart 2015): 555-75.
EndNote Perçin S, Yakıcı Ayan T (01 Mart 2015) AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 29 2 555–575.
IEEE S. Perçin ve T. Yakıcı Ayan, “AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ”, Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, c. 29, sy. 2, ss. 555–575, 2015.
ISNAD Perçin, Selçuk - Yakıcı Ayan, Tuba. “AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ”. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 29/2 (Mart 2015), 555-575.
JAMA Perçin S, Yakıcı Ayan T. AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2015;29:555–575.
MLA Perçin, Selçuk ve Tuba Yakıcı Ayan. “AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ”. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi, c. 29, sy. 2, 2015, ss. 555-7.
Vancouver Perçin S, Yakıcı Ayan T. AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2015;29(2):555-7.