SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH

Süleyman ÇAKIR (Recep Tayyip Erdoğan Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü, Rize, Türkiye)
Uluslararası İktisadi ve İdari İncelemeler Dergisi
2 0
Yıl: 2020 Cilt: 0 Sayı: Talha Özel Sayısı Sayfa Aralığı: 1 - 18 Metin Dili: İngilizce DOI: 10.18092/ulikidince.513503 İndeks Tarihi: 22-11-2020

SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH

Öz:
Several studies have addressed subcontractor selection problem t2o date. However, most of them consideredsubcontractor selection in construction industry and other fields have been disregarded. In order to fill thisgap, this study focuses on selecting the best subcontractor under fuzzy environment for a Turkish textilecompany. The case problem is considered as a multiple criteria decision making (MCDM) problem and a hybridmethodology combining Fuzzy Preferences Programming (FPP) Method and Graph Theoretical MatrixApproach (GTMA) is proposed for the solution. In the application, the FPP is used to model the interrelationsand interdependences among attributes and the GTMA is utilized to choose the best subcontractor for thecompany under consideration. The obtained results reveal that the devised methodology can successfullytackle with any type of MCDM problems as well as subcontractor selection
Anahtar Kelime:

BULANIK ÇKKV TABANLI BÜTÜNLEŞİK BİR YAKLAŞIM KULLANARAK BİR TEKSTİL FİRMASI İÇİN TAŞERON SEÇİMİ

Öz:
Günümüze kadar taşeron seçimi problemini ele alan birçok çalışma yapılmıştır. Ancak, bu çalışmalar çoğunlukla inşaat sektörüne odaklanmış ve diğer sektörler göz ardı edilmiştir. Literatürdeki bu boşluk dikkate alınarak bu çalışmada Türkiye’de faaliyet gösteren bir tekstil firması için en iyi taşeron işletme seçimi problemi ele alınmıştır. Seçim problemi bir çok kriterli karar verme (ÇKKV) problemi olarak kabul edilerek çözüm amacıyla Bulanık Tercih Programlama Yöntemi (Fuzzy Preferences Programming (FPP) Method) ve Çizge Teorisi Matris Yaklaşımı (Graph Theoretical Matrix Approach-GTMA) yöntemini birleştiren bütünleşik bir metodoloji önerilmiştir. Uygulamanın ilk aşamasında değerlendirme kriterleri arasındaki karşılıklı ilişkileri ve içsel bağımlılıkları ölçmek için FPP yöntemi kullanılmış, daha sonra en iyi taşeronu seçmek için GTMA yönteminden yararlanılmıştır. Elde edilen sonuçlar, önerilen metodolojinin taşeron seçimi yanında diğer ÇKKV problemlerinin çözümünde de faydalanılabilecek bir yaklaşım olduğunu ortaya koymaktadır.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Abbasianjahromi, H., Rajaie, H., Shakeri, E., and Chokan, F. (2014). A New Decision Making Model for Subcontractor Selection and Its Order Allocation. Project Management Journal, 45(1), 55-66.
  • Agrawal, S., Sing and RK. Murtaza Q., (2016). Outsourcing Decisions in Reverse Logistics: Sustainable Balanced Scorecard and Graph Theoretic Approach. Resources, Conservation and Recycling, 108, 41-53.
  • Arditi, D. and Chotibhongs R. (2005). Issues in Subcontracting Practice. Journal of Construction Engineering and Management ASCE, 131(8), 866-876
  • Attri R, Grover S. and Dev, N. (2013). A Graph Theoretic Approach to Evaluate the Intensity of Barriers in the Implementation of Total Productive Maintenance TPM. International Journal of Production Research, 52(10), 3032-3051
  • Baykaşoğlu, A. (2009). A Practical Fuzzy Digraph Model for Modeling Manufacturing Flexibility. Cybernetics and Systems: An International Journal, 40(6), 475-489.
  • Baykaşoğlu A. (2014). A Review and Analysis of Graph Theoretical-Matrix Permanent Approach to Decision Making With Example Applications. Artificial Intelligence Review, 42, 573-605.
  • Bianchini, A. (2018). 3PL Provider Selection by AHP and TOPSIS Methodology, Benchmarking: An International Journal, 25(1), 235-252,
  • Cebeci, U. (2009). Fuzzy AHP-Based Decision Support System for Selecting ERP Systems in Textile Industry by Using Balanced Scorecard. Expert Systems with Applications, 36, 8900–8909.
  • Chai J, Liu J.N, Ngai E.W. (2013). Application of Decision-Making Techniques in Supplier Selection, a Systematic Review of Literature. Expert Systems with Applications, 40(10), 3872-3885.
  • Chang, D.Y. (1996). Applications of the Extent Analysis Method on Fuzzy AHP. European Journal of Operations Research, 95:649–655.
  • Chang, C.W, Wu, C.R. and Lin, H.L. (2009). Applying Fuzzy Hierarchy Multiple Attributes to Construct an Expert Decision Making Process. Expert Systems with Applications 36, 7363- 7368.
  • Chen, C.T, (2000). Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment, Fuzzy Sets and Systems, 114: 1-9.
  • Darvish, M., Yasaei, M. and Saeedi, A. (2009). Application of the Graph Theory and Matrix Methods to Contractor Ranking, International Journal of Project Management, 27, 610-619.
  • Dobos, I. and Vörösmarty, G. (2018). Inventory-Related Costs in Green Supplier Selection Problems with Data Envelopment Analysis (DEA), In Press, Corrected Proof.
  • Doukas, H.C, Andreas, B.M and Psarras, J.E. (2007). Multi-Criteria Decision Aid for the Formulation of Sustainable Technological Energy Priorities Using Linguistic Variables. European Journal of Operations Research, 182, 844-855
  • Fallahpour, A., Amindoust, A., Antuchevičienė, J. and Yazdani M. (2016). Nonlinear Genetic-Based Model for Supplier Selection: A Comparative Study. Technological and Economic Development of Economy, 22(4): 532–549.
  • Grover, S, Agrawal, V.P. and Khan, I.A. (2004). A Digraph Approach to TQM Evaluation of an Industry. International Journal of Production Research, 42(19), 4031–4053
  • Ip, W.H, Yung, K.L. and Wang, D. (2004). A Branch and Bound Algorithm for Sub-Contractor Selection in Agile Manufacturing Environment. International Journal of Production Economics, 87(2), 195-205.
  • Koulouriotis, D.E. and Ketipi, M.K. (2011). A Fuzzy Digraph Method for Robot Evaluation and Selection. Expert Systems with Applications, 38, 11901–11910.
  • Mikhailov, L. and Singh, M.G. (1999). Fuzzy Assessment of Priorities with Application to Competitive Bidding. Journal of Decision Systems, 81, 11-28.
  • Mikhailov, L. (2000). A Fuzzy Programming Method for Deriving Priorities in the Analytic Hierarchy Process. Journal of Operations Research Society, 51, 341–349.
  • Mikhailov, L. (2002). Fuzzy Analytical Approach to Partnership Selection in Formation of Virtual Enterprises. Omega 30, 393–401.
  • Mikhailov, L. (2003). Deriving Priorities from Fuzzy Pairwise Comparison Judgments. Fuzzy Sets Systems, 134, 365–38.
  • Mikhailov, L. (2004). Group Prioritization in the Ahp by Fuzzy Preference Programming Method. Computers and Operations Research, 31, 293-301.
  • Minc, H. (1978). Permanents. Encyclopedia of Mathematics and its Applications, (6th ed.). AddisonWesley, Reading, Mass. Mohaghar, A., Faqhei, M.S, Khanmohammadi, E. and Jafarzadeh, A.H. (2013). Contractor Selection Using Extended Topsis Technique with Interval-Valued Triangular Fuzzy Numbers. Global Business and Economics Journal, 25, 55-65.
  • Ozturk, E., Karaboyacı, M., Yetis, U., Yigit, N.O. and Kitis, M. (2015). Evaluation of Integrated Pollution Prevention Control in a Textile Fiber Production and Dyeing Mill. Journal of Cleaner Production, 88(1), 116–124.
  • Polat, G., Eray, E., and Bingöl, BN. (2017). An Integrated Fuzzy MCGDM Approach for Supplier Selection Problem. Journal of Civil Engineering and Management, 23(7), 926-942.
  • Rajaeian, M.M, Aileen, C.S. and Michael, L. (2017) “A Systematic Literature Review and Critical Assessment of Model-Driven Decision Support for IT Outsourcing. Decision Support Systems, 102, 42–56.
  • Rajesh, A., Nikhil, D. and Vivek S. (2013). Graph Theoretic Approach, A Multi-Attribute Decision Making MADM Technique. Research Journal of Engineering Sciences, 2, 50-53.
  • Rao, R.V. (2006). A Decision-Making Framework Model for Evaluating Flexible Manufacturing Systems Using Digraph and Matrix Methods. International Journal of Advanced Manufacturing Technology, 30, 1101-1110.
  • Rao, R.V. (2007), Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer Series in Advanced Manufacturing London Springer-Verlag London Limited
  • Rao, R.V. and Parnichkun, M. (2009) Flexible Manufacturing System Selection Using A Combinatorial Mathematics Based Decision-Making Method. International Journal of Production Research, 4724, 6981–6998
  • Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
  • Saaty, T.L. (1996). Decision Making With Dependence and Feedback the Analytic Network Process. RWS Publications, Pittsburgh, Pennsylvania.
  • Shabanpour, H., Yousefi, S. and Saen, RF. (2017). Forecasting Efficiency of Green Suppliers by Dynamic Data Envelopment Analysis and Artificial Neural Networks. Journal of Cleaner Production. 142(2), 1098-1107.
  • Tavana, M., Zareinejad, M., Di Caprio D. and Kaviani MA., (2016). An Integrated Intuitionistic Fuzzy AHP and SWOT Method for Outsourcing Reverse Logistics. Applied Soft Computing, 40, 544–557.
  • Zadeh, L.A. (1965). Fuzzy Sets. Information Control, 8(3), 338-35.
  • Zhuang, Z.Y., Chiang IJ., Su CR. And Chen CY., (2017). Modelling the Decision of Paper Shredder Selection using Analytic Hierarchy Process and Graph Theory and Matrix Approach. Advances in Mechanical Engineering, 9(12), 1–11.
APA ÇAKIR S (2020). SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. , 1 - 18. 10.18092/ulikidince.513503
Chicago ÇAKIR SÜLEYMAN SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. (2020): 1 - 18. 10.18092/ulikidince.513503
MLA ÇAKIR SÜLEYMAN SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. , 2020, ss.1 - 18. 10.18092/ulikidince.513503
AMA ÇAKIR S SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. . 2020; 1 - 18. 10.18092/ulikidince.513503
Vancouver ÇAKIR S SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. . 2020; 1 - 18. 10.18092/ulikidince.513503
IEEE ÇAKIR S "SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH." , ss.1 - 18, 2020. 10.18092/ulikidince.513503
ISNAD ÇAKIR, SÜLEYMAN. "SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH". (2020), 1-18. https://doi.org/10.18092/ulikidince.513503
APA ÇAKIR S (2020). SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 0(Talha Özel Sayısı), 1 - 18. 10.18092/ulikidince.513503
Chicago ÇAKIR SÜLEYMAN SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. Uluslararası İktisadi ve İdari İncelemeler Dergisi 0, no.Talha Özel Sayısı (2020): 1 - 18. 10.18092/ulikidince.513503
MLA ÇAKIR SÜLEYMAN SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. Uluslararası İktisadi ve İdari İncelemeler Dergisi, vol.0, no.Talha Özel Sayısı, 2020, ss.1 - 18. 10.18092/ulikidince.513503
AMA ÇAKIR S SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. Uluslararası İktisadi ve İdari İncelemeler Dergisi. 2020; 0(Talha Özel Sayısı): 1 - 18. 10.18092/ulikidince.513503
Vancouver ÇAKIR S SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH. Uluslararası İktisadi ve İdari İncelemeler Dergisi. 2020; 0(Talha Özel Sayısı): 1 - 18. 10.18092/ulikidince.513503
IEEE ÇAKIR S "SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH." Uluslararası İktisadi ve İdari İncelemeler Dergisi, 0, ss.1 - 18, 2020. 10.18092/ulikidince.513503
ISNAD ÇAKIR, SÜLEYMAN. "SUBCONTRACTOR SELECTION IN A TEXTILE COMPANY USING AN INTEGRATED FUZZY MCDM BASED APPROACH". Uluslararası İktisadi ve İdari İncelemeler Dergisi Talha Özel Sayısı (2020), 1-18. https://doi.org/10.18092/ulikidince.513503
Sayfa Oluşturulma Tarihi
30-04-2024 5:28

İLETİŞİM

TÜBİTAK ULAKBİM TR Dizin

Yüzüncüyıl, İşçi Blokları Mahallesi

Muhsin Yazıcıoğlu Caddesi No:51/C

06530 Çankaya / ANKARA +90 (312) 298 92 00

trdizin@tubitak.gov.tr

TÜBİTAK ULAKBİM Ulusal Akademik Ağ ve Bilgi Merkezi Cahit Arf Bilgi Merkezi © Tüm Hakları Saklıdır. Gizlilik Politikası Kullanım Şartları