Research Article
Year 2020,
Prof. Dr. Talha Ustasüleyman Special Issue, 1 - 18, 20.02.2020
Abstract
Several studies have addressed subcontractor selection problem to date.
However, most of them considered subcontractor selection in construction
industry and other fields have been disregarded. In
order to fill this gap, this study focuses on selecting the best subcontractor under fuzzy
environment for a Turkish textile company. The case problem is considered as a multiple criteria
decision making (MCDM) problem and a robust hybrid methodology combining Fuzzy Preferences
Programming (FPP) Method and Graph Theoretical Matrix Approach (GTMA) is
proposed for the solution. In the application, the FPP is used to model the
interrelations and interdependences among attributes and the GTMA is utilized
to choose the best subcontractor for the company under consideration. The
obtained results reveal that the devised methodology can successfully tackle
with any type of MCDM problems as well as subcontractor selection.
References
- Abbasianjahromi, H., Rajaie, H., Shakeri, E., & Chokan, F. (2014). A new decision making model for subcontractor selection and its order allocation. Project Management Journal, 45(1), 55-66. Agrawal, S., Singh, 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, Chotibhongs R. (2005) Issues in subcontracting practice. Journal of Construction Engineering and Management ASCE 131 (8), 866-876 Attri R, Grover S., 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 Baykasoglu 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 JN, Ngai EW. (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 CW, Wu, CR, Lin HL (2009) Applying fuzzy hierarchy multiple attributes to construct an expert decision making process. Expert Systems with Applications 36, 7363-7368. Chen CT, (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114: 1-9.Darvish M. Yasaei M, Saeedi A. (2009) Application of the graph theory and matrix methods to contractor ranking, International Journal of Project Management, 27, 610-619.Dobos I, Vörösmarty, G. (2018), Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA), In Press, Corrected Proof.Doukas HC, Andreas BM, Psarras JE. (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., 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 VP, Khan IA. (2004) A digraph approach to TQM evaluation of an industry. International Journal of Production Research 4219, 4031–4053 Ip WH, Yung KL, 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 DE, Ketipi MK. (2011) A fuzzy digraph method for robot evaluation and selection. Expert Systems with Applications 38, 11901–11910.Mikhailov L, Singh MG. (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& Operations Research 31, 293-301. Minc H. (1978). Permanents Addison-Wesley, Reading. Mohaghar A, Faqhei MS, Khanmohammadi E, Jafarzadeh AH. (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 NO, 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., & Bingöl, BN. (2017). An integrated fuzzy MCGDM approach for supplier selection problem. Journal of Civil Engineering and Management, 23(7), 926-942. Rajaeian, MM, Aileen CS., 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, Vivek S. (2013) Graph theoretic approach, a multi-attribute decision making MADM technique. Research Journal of Engineering Sciences 2, 50-53.Rao RV. (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 RV. (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 RV, Parnichkun M. (2009) Flexible manufacturing system selection using a combinatorial mathematics based decision-making method. International Journal of Production Research 4724 6981–6998 Saaty TL. (1980) The Analytic Hierarchy Process. McGraw-Hill, New York.Saaty TL. (1996) Decision Making with Dependence and Feedback the Analytic Network Process. RWS Publications, Pittsburgh, Pennsylvania.Shabanpour, H., Yousefi, S., 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.Su, J., Dyer, C.L., Gargeya V. B. (2009). Strategic Sourcing and Supplier Selection in the U.S. Textile– Apparel–Retail Supply Network. Clothing & Textiles Research Journal, 27(2) 83-97.Tavana, M., Zareinejad, M., Di Caprio D., Kaviani MA., (2016), An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics. Applied Soft Computing, 40, 544–557.Zadeh LA. (1965) Fuzzy Sets. Information Control 8 (3), 338-35.Zhuang, ZY., Chiang IJ., Su CR., 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.
Year 2020,
Prof. Dr. Talha Ustasüleyman Special Issue, 1 - 18, 20.02.2020
Abstract
References
- Abbasianjahromi, H., Rajaie, H., Shakeri, E., & Chokan, F. (2014). A new decision making model for subcontractor selection and its order allocation. Project Management Journal, 45(1), 55-66. Agrawal, S., Singh, 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, Chotibhongs R. (2005) Issues in subcontracting practice. Journal of Construction Engineering and Management ASCE 131 (8), 866-876 Attri R, Grover S., 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 Baykasoglu 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 JN, Ngai EW. (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 CW, Wu, CR, Lin HL (2009) Applying fuzzy hierarchy multiple attributes to construct an expert decision making process. Expert Systems with Applications 36, 7363-7368. Chen CT, (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114: 1-9.Darvish M. Yasaei M, Saeedi A. (2009) Application of the graph theory and matrix methods to contractor ranking, International Journal of Project Management, 27, 610-619.Dobos I, Vörösmarty, G. (2018), Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA), In Press, Corrected Proof.Doukas HC, Andreas BM, Psarras JE. (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., 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 VP, Khan IA. (2004) A digraph approach to TQM evaluation of an industry. International Journal of Production Research 4219, 4031–4053 Ip WH, Yung KL, 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 DE, Ketipi MK. (2011) A fuzzy digraph method for robot evaluation and selection. Expert Systems with Applications 38, 11901–11910.Mikhailov L, Singh MG. (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& Operations Research 31, 293-301. Minc H. (1978). Permanents Addison-Wesley, Reading. Mohaghar A, Faqhei MS, Khanmohammadi E, Jafarzadeh AH. (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 NO, 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., & Bingöl, BN. (2017). An integrated fuzzy MCGDM approach for supplier selection problem. Journal of Civil Engineering and Management, 23(7), 926-942. Rajaeian, MM, Aileen CS., 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, Vivek S. (2013) Graph theoretic approach, a multi-attribute decision making MADM technique. Research Journal of Engineering Sciences 2, 50-53.Rao RV. (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 RV. (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 RV, Parnichkun M. (2009) Flexible manufacturing system selection using a combinatorial mathematics based decision-making method. International Journal of Production Research 4724 6981–6998 Saaty TL. (1980) The Analytic Hierarchy Process. McGraw-Hill, New York.Saaty TL. (1996) Decision Making with Dependence and Feedback the Analytic Network Process. RWS Publications, Pittsburgh, Pennsylvania.Shabanpour, H., Yousefi, S., 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.Su, J., Dyer, C.L., Gargeya V. B. (2009). Strategic Sourcing and Supplier Selection in the U.S. Textile– Apparel–Retail Supply Network. Clothing & Textiles Research Journal, 27(2) 83-97.Tavana, M., Zareinejad, M., Di Caprio D., Kaviani MA., (2016), An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics. Applied Soft Computing, 40, 544–557.Zadeh LA. (1965) Fuzzy Sets. Information Control 8 (3), 338-35.Zhuang, ZY., Chiang IJ., Su CR., 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.
There are 1 citations in total.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | February 20, 2020 |
| Published in Issue | Year 2020 Prof. Dr. Talha Ustasüleyman Special Issue |
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https://doi.org/10.1155/2023/8256116
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