تحلیل تطبیقی رویکردهای تصمیم گیری چند معیاره خاکستری در اولویت بندی تأمین‌کنندگان (فولاد مبارکه اصفهان)
الموضوعات :Ahmad Reza Ghasemi 1 , Hashem Mozzez 2 , Fatemeh Abedi Jebeli 3
1 - Assistant Professor Industrial Management, Faculty of Management & Accounting, Farabi Compus University of Tehran
2 - Assistant Professor Industrial Management, Faculty of Management & Accounting, Farabi Compus University of Tehran
3 - Master of Industrial Management, Faculty of Management & Accounting, Farabi Compus University of Tehran
الکلمات المفتاحية: Supplier selection, انتخاب تأمین‌کننده, تصمیم‌گیری چند معیاره خاکستری, عدد خاکستری, کوپراس خاکستری, MCDM-G, Grey Number, COPRAS-G,
ملخص المقالة :
زنجیره تأمین اخیراً نظر بسیاری از محققین را به خود جلب کرده است. هدف این مقاله، شناسایی تأمین‌کنندگانی است که بیشترین توان بالقوه را در برآورده ساختن نیازهای شرکت با صرف هزینه معقولانه، داشته باشند و همچنین کاهش ریسک و حداکثر کردن ارزش کلی برای خریداران است. ازآنجایی‌که تأمین‌کنندگان ازلحاظ نقاط قوت و ضعف و شرایط عمومی محصولاتشان متفاوت هستند، نیازمند ارزیابی دقیق به‌وسیله خریداران می‌باشند. جهت انجام این فعالیت‌ها در شرکت‌ها، مشکلات فراوانی وجود دارد که یکی از آن مشکلات مربوط به تعیین معیارهای مناسب جهت ارزیابی تأمین‌کننده است. این موضوع به این دلیل است که غالباً نیازها در قالب مفاهیم کیفی اظهار می‌شوند درحالی‌که باید به‌صورت کمی مورد ارزیابی قرار گیرند. علاوه بر این، ازنظر تصمیم‌گیرنده، معیارها نسبت به یکدیگر از اهمیت و اولویت متفاوتی برخوردار می‌باشند و این موضوع یکی از دلایل اصلی است که نگارندگان را بر آن داشت که به دنبال ارائه الگویی باشند تا به‌وسیله آن بتوان انتخاب تأمین‌کننده را بر اساس معیارهای مناسب و با تأکید بر میزان اهمیت هر یک از آن‌ها در فرآیند تصمیم‌گیری انجام داد. بدین منظور ابتدا بامطالعه ادبیات موضوع، معیارهای مؤثر در انتخاب تأمین‌کنندگان شناسایی شدند، سپس با استفاده از پرسشنامه‌ای که توسط گروهی از کارشناسان تکمیل شد به غربالگری شاخص‌ها پرداخته شد. داده‌های کمی و کیفی شاخص‌های انتخاب‌شده جمع‌آوری شدند و توسط روش AHP درجه اهمیت معیارهای مؤثر در انتخاب تأمین‌کنندگان مشخص شد و درنهایت تأمین‌کنندگان شرکت با روش کوپراس خاکستری رتبه‌بندی شدند. مهم ترین معیار جهت ارزیابی تأمین‌کنندگان دارایی و زیرساخت (275/0) و تأمین‌کننده بهران به‌عنوان بهترین تأمین‌کننده شناسایی شد.
1. Azar, A., & Faraji, H. (2008). Fuzzy Management Science. Publications kind Publishing. Tehran.
2. Asgharizadeh, E. & Ghasemi, AR. (2011). The path supply chain performance excellence, the new indicator in assessing competitiveness and Corporate Excellence (Case study: supply chain department stores citizenship). Business Research Quarterly, 13)2(, 65-72.
3. Burgess, K., Singh, P. J., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7), 703-729.
4. Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301.
5. Darabi, M. & Saeedi, S. (2008). Design an integrated model for evaluating the performance of suppliers and allocating orders using multi-objective DEA models and planning. Journal Automotive Eng and related industries (first year), No. 4.
6. De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European journal of purchasing & supply management, 7(2), 75-89.
7. Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
8. Dou, Y., Zhu, Q., & Sarkis, J. (2014). Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233(2), 420-431.
9. Faraji, S. H., Motieei, L. S., Yadollahi, F. J., & Karimzadeh, H. (2012). Ranking the development of tourism and its backgrounds in rural areas, using gray topsis (Case study: rural areas of varzaghan township). Journal of Rural Research, 3(1), 1-6.
10. Ghafarian, V. (2000). Man, computer and decision-making, an analytical review of decision support systems. Journal of prudence, 108.
11. Ghazanfari, M. Riazi, A. Kazemi, M. (2001). Supply chain management and the importance of relationships. Journal of prudence, 117.
12. Ghodsi poor, S. H. (2006). Multi Objective Programming. (Second Edition). Publications Amirkabir University of Technology, Tehran
13. Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303-1311.
14. Hoshmandi Maher, M. (2006). Designing mathematical model using Multiple Criteria Decision Making, Case Studies department stores citizenship: Beyhaghi terminal. (Master's thesis). Faculty of Management and Accounting, Allameh Tabatabaei University.
15. Mohaghar, A. Noori, M. Mirkazemi, M. Sarabi, N. (2011). Selection of suppliers of engineering and construction companies. Journal Excavations of Business Management, 3(6), 22-50.
16. Russell, D. M. Anne, M. Hoag (2007). People and information technology in the supply chain: Social and organizational influences on adoption. International Journal of Physical Distribution & Logistics Management, 34(2),102-122.
17. Saaty, T. (1989). Group decision making and the AHP, in: B.L. Gdden, E.A. Wasil, P.T. Harket, The Analytic Hierarchy Process. Application and Studies, Springer, New York, 12(2), 59-67.
18. Maity, S. R., Chatterjee, P., & Chakraborty, S. (2012). Cutting tool material selection using grey complex proportional assessment method. Materials & Design, 36, 372-378.
19. Datta, S., Sahu, N., & Mahapatra, S. (2013). Robot selection based on grey-MULTIMOORA approach. Grey Systems: Theory and Application, 3(2), 201-232.
20. Shafiee, S. Ahadi, H. (2010). A combination of multiple criteria decision making model for supplier selection metro equipment. The First National Conference on Localization of Iranian Rail Industries,Tehran.
21. Ting, S. C., & Cho, D. I. (2008). An integrated approach for supplier selection and purchasing decisions. Supply Chain Management: An International Journal, 13(2), 116-127.
22. Wilson, D. Mit. Jr. (2000). Managing a global supply chain whit durable arm's -length supplier relationship. International Journal of Productivity and Performance Management, 30(1), 7-25.
23. Lin, Y. H., Lee, P. C., & Ting, H. I. (2008). Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications, 35(4), 1638-1644.
24. Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of civil engineering and management, 16(1), 33-46.
25. Zolfani, S. H., Sedaghat, M., & Zavadskas, E. K. (2012). Performance evaluating of rural ICT centers (telecenters), applying fuzzy AHP, SAW-G and TOPSIS Grey, a case study in Iran. Technological and Economic Development of Economy, 18(2), 364-387.
_||_1. Azar, A., & Faraji, H. (2008). Fuzzy Management Science. Publications kind Publishing. Tehran.
2. Asgharizadeh, E. & Ghasemi, AR. (2011). The path supply chain performance excellence, the new indicator in assessing competitiveness and Corporate Excellence (Case study: supply chain department stores citizenship). Business Research Quarterly, 13)2(, 65-72.
3. Burgess, K., Singh, P. J., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7), 703-729.
4. Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301.
5. Darabi, M. & Saeedi, S. (2008). Design an integrated model for evaluating the performance of suppliers and allocating orders using multi-objective DEA models and planning. Journal Automotive Eng and related industries (first year), No. 4.
6. De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European journal of purchasing & supply management, 7(2), 75-89.
7. Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
8. Dou, Y., Zhu, Q., & Sarkis, J. (2014). Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233(2), 420-431.
9. Faraji, S. H., Motieei, L. S., Yadollahi, F. J., & Karimzadeh, H. (2012). Ranking the development of tourism and its backgrounds in rural areas, using gray topsis (Case study: rural areas of varzaghan township). Journal of Rural Research, 3(1), 1-6.
10. Ghafarian, V. (2000). Man, computer and decision-making, an analytical review of decision support systems. Journal of prudence, 108.
11. Ghazanfari, M. Riazi, A. Kazemi, M. (2001). Supply chain management and the importance of relationships. Journal of prudence, 117.
12. Ghodsi poor, S. H. (2006). Multi Objective Programming. (Second Edition). Publications Amirkabir University of Technology, Tehran
13. Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303-1311.
14. Hoshmandi Maher, M. (2006). Designing mathematical model using Multiple Criteria Decision Making, Case Studies department stores citizenship: Beyhaghi terminal. (Master's thesis). Faculty of Management and Accounting, Allameh Tabatabaei University.
15. Mohaghar, A. Noori, M. Mirkazemi, M. Sarabi, N. (2011). Selection of suppliers of engineering and construction companies. Journal Excavations of Business Management, 3(6), 22-50.
16. Russell, D. M. Anne, M. Hoag (2007). People and information technology in the supply chain: Social and organizational influences on adoption. International Journal of Physical Distribution & Logistics Management, 34(2),102-122.
17. Saaty, T. (1989). Group decision making and the AHP, in: B.L. Gdden, E.A. Wasil, P.T. Harket, The Analytic Hierarchy Process. Application and Studies, Springer, New York, 12(2), 59-67.
18. Maity, S. R., Chatterjee, P., & Chakraborty, S. (2012). Cutting tool material selection using grey complex proportional assessment method. Materials & Design, 36, 372-378.
19. Datta, S., Sahu, N., & Mahapatra, S. (2013). Robot selection based on grey-MULTIMOORA approach. Grey Systems: Theory and Application, 3(2), 201-232.
20. Shafiee, S. Ahadi, H. (2010). A combination of multiple criteria decision making model for supplier selection metro equipment. The First National Conference on Localization of Iranian Rail Industries,Tehran.
21. Ting, S. C., & Cho, D. I. (2008). An integrated approach for supplier selection and purchasing decisions. Supply Chain Management: An International Journal, 13(2), 116-127.
22. Wilson, D. Mit. Jr. (2000). Managing a global supply chain whit durable arm's -length supplier relationship. International Journal of Productivity and Performance Management, 30(1), 7-25.
23. Lin, Y. H., Lee, P. C., & Ting, H. I. (2008). Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications, 35(4), 1638-1644.
24. Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of civil engineering and management, 16(1), 33-46.
25. Zolfani, S. H., Sedaghat, M., & Zavadskas, E. K. (2012). Performance evaluating of rural ICT centers (telecenters), applying fuzzy AHP, SAW-G and TOPSIS Grey, a case study in Iran. Technological and Economic Development of Economy, 18(2), 364-387.
