انتخاب تأمین کننده با استفاده از روش تلفیقی فرایند تحلیل سلسله مراتبی و تحلیل روابط خاکستری
محورهای موضوعی :
مدیریت صنعتی
Mohammad Akbari
1
1 - PhD. of operation and production management, Member of Faculty Staff, Payam Noor University
تاریخ دریافت : 1394/03/01
تاریخ پذیرش : 1395/04/28
تاریخ انتشار : 1395/06/04
کلید واژه:
تحلیل سلسله مراتبی,
supply chain management,
مدیریت زنجیره تأمین,
Grey Relational Analysis,
روش ارزیابی تأمین‌کننده,
تحلیل روابط خاکستری,
Supplier Assessment Technique,
Analytical Hierarchal Process,
چکیده مقاله :
پیشینه پژوهش نشان داده است که برای انتخاب تأمین کننده مناسب در زنجیره تأمین بهتر است که در ارزیابی تأمین کنندگان هم زمان به معیارهای کمی و کیفی توجه شود. برای این منظور باید از ابزاری استفاده کنیم که تلفیق مناسب معیارهای کمی و کیفی را در نظر بگیرد. هدف این مقاله توسعه و بکارگیری یک مدل ارزیابی برای انتخاب تأمین کننده با در نظر گرفتن معیارهای کمی و کیفی می باشد. به این منظور در این پژوهش از روش تحلیل سلسله مراتبی و تحلیل روابط خاکستری استفاده شده است. روش پژوهش در این پژهش از نوع میدانی و توسعه ای است. داده های مربوط به تأمین کنندگان و اوزان معیارها بر اساس مستندات و نظرات مدیران انتخاب و فراهم شده است. برای ارزیابی تأمین کنندگان ابتدا معیارهای کیفی و کمی مشخص گردیده و برای تعیین وزن معیارها از روش تحلیل سلسله مراتبی استفاده شد. سپس برای رتبه بندی تأمین کنندگان از روش تحلیل روابط خاکستری استفاده شد. نتایج این پژوهش نشان داد که با استفاده از روش تلفیقی ارائه شده می توان معیارهای کمی و کیفی را به صورت هم زمان در ارزیابی تأمین کنندگان مورد استفاده قرار داد. همچنین نتایج پژوهش نشان داد که انعطاف پذیرتری و کاربرد آسان این روش تلفیقی از مزیت های این مدل است. به منظور بررسی اعتبار مدل تلفیقی، مجموعه تأمین کنندگان با در نظر گرفتن ضریب تشخیص های متفاوت مورد بررسی و ارزیابی قرار گرفت. با در نظر گرفتن ضریب تشخیص های متفاوت بین 1/0 تا 1 نتایج مشابهی بدست آمد و نتیجه گرفته می شود که روش تلفیقی ارائه شده برای انتخاب تأمین کننده، یک روش قابل اعتماد می باشد..
چکیده انگلیسی:
Literature indicated that to select a supplier in a supply chain, it is better quantitative and qualitative criteria considered simultaneously in supplier assessing. To get this goal we should use the technique that regards an appropriate set of quantitative and qualitative criteria. The goal of this article is developing and applying as assessing model to select a supplier with regarding quantitative and qualitative criteria. So we used analytical hierarchal process and grey relational analysis. The research method was development and field study. Supplier data and weights of criteria were gained using document and manager's comments. To assess suppliers, first quantitative and qualitative criteria were determined and analytical hierarchy process was used to weight these criteria. Then to rate suppliers grey relational analysis was used. Results indicated that using the integrated model we can consider quantitative and qualitative criteria simultaneously in assessing suppliers. Also flexibility and easy to use are advantages of the model. To experiment reliability of integrated model, suppliers were assessing many times with different coefficient of determination. Regarding different coefficient of determination between 0.1 and 1, results were similar. Hence using provided an integrated model for supplier selection is a reliable method.
منابع و مأخذ:
Akbari, M. (2007). supplier selection using goal programming in supply chain: case study of SAIPA (Master dissertation). SHAHID BEHESHTI University.
Bhutta, K.S., & Huq, F. (2002). Supplier selection problem: a comparison of the total cost of ownership and analytical hierarchy process approaches. Supply chain management: An international journal, 7(3), 126-135.
Braglia, M., & Petroni, A. (2000). A quality-assurance oriented methodology for handling trade-offs in supplier selection. International journal of physical distribution & logistics, 30(2), 96-111.
Bruno, G., Esposito, E., Genovese, A., Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of Purchasing and Supply Management, 18(3), 159-172.
Cebi, F., & Bayraktar, D. (2003). An integrated approach for supplier selection, logistic information management, 16(6), 395-400.
Chamodrakas, I., Batis, D., Martakos, D. (2010). Supplier selection in electronic marketplaces using satisficing and fuzzy AHP. Expert Systems with Applications, 37(1), 490-498.
Chan, J.W.K., & Tong, T.K.L. (2007). Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach. Materials & Design, 28(5), 1539-1546.
Ding, H., Benyoucef, L., Xie, X. (2003). A simulation-optimization approach using genetic search for supplier selection. Proceeding of the 2003 winter simulation conference, 2(1), 1260-1267.
Ghoudsipour, S.H. (2005). Analytical hierarchy process. Tehran: AMIRKABIR University Press.
Ghodsypour, S.H., O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56-57, 199-212.
Golmohammadi, D., & Mellat-Parast, M. (2012). Developing a grey-based decision-making model for supplier selection. International Journal of Production Economics, 137(2), 191-200.
Kilincci, O., Onal, S.A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38(8), 9656-9664.
Koroglu, R., Prakash, J.S., Burgess, K. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7), 703-729.
Kuo, Y., Yang, T., Huang, G.W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
Lin, Y., Chen, M.Y., Liu, S. (2003). Theory of grey systems: capturing uncertainties of grey information. Kybernetes, 33(2), 196-218.
Min, H. (1994). international supplier selection: a multi-attribute utility approach. International journal of physical distribution & logistics management, 24(5), 24-33,
Peng, J. (2012). Selection of Logistics Outsourcing Service Suppliers Based on AHP. Energy Procedia, 17(1), 595-601.
Rezaei, J., & Ortt, R. (2013). Multi-criteria supplier segmentation using a fuzzy preference relation based AHP. European Journal of Operational Research, 225(1), 75-84.
Sakni, R. (2012). Analysis of theoretical and supply chain performance metrics across the organization. Automobile industry. 16(1). Retrieved from www. http://system.parsiblog.com
Shemwell, D.J., Yavas, U., Bilgin, Z. (1998). Customer-service provider relationships: an empirical test of a model of service quality, satisfaction and relationship-oriented outcomes. International Journal of Service Industry Management, 9(2), 155-168.
Stadtler H., & Kilger, C. (2002). Supply Chain Management and Advanced Planning. Berlin: Springer-Verlag.
Yang ,C.C., & Chen ,B.S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926-941.
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Akbari, M. (2007). supplier selection using goal programming in supply chain: case study of SAIPA (Master dissertation). SHAHID BEHESHTI University.
Bhutta, K.S., & Huq, F. (2002). Supplier selection problem: a comparison of the total cost of ownership and analytical hierarchy process approaches. Supply chain management: An international journal, 7(3), 126-135.
Braglia, M., & Petroni, A. (2000). A quality-assurance oriented methodology for handling trade-offs in supplier selection. International journal of physical distribution & logistics, 30(2), 96-111.
Bruno, G., Esposito, E., Genovese, A., Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of Purchasing and Supply Management, 18(3), 159-172.
Cebi, F., & Bayraktar, D. (2003). An integrated approach for supplier selection, logistic information management, 16(6), 395-400.
Chamodrakas, I., Batis, D., Martakos, D. (2010). Supplier selection in electronic marketplaces using satisficing and fuzzy AHP. Expert Systems with Applications, 37(1), 490-498.
Chan, J.W.K., & Tong, T.K.L. (2007). Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach. Materials & Design, 28(5), 1539-1546.
Ding, H., Benyoucef, L., Xie, X. (2003). A simulation-optimization approach using genetic search for supplier selection. Proceeding of the 2003 winter simulation conference, 2(1), 1260-1267.
Ghoudsipour, S.H. (2005). Analytical hierarchy process. Tehran: AMIRKABIR University Press.
Ghodsypour, S.H., O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56-57, 199-212.
Golmohammadi, D., & Mellat-Parast, M. (2012). Developing a grey-based decision-making model for supplier selection. International Journal of Production Economics, 137(2), 191-200.
Kilincci, O., Onal, S.A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38(8), 9656-9664.
Koroglu, R., Prakash, J.S., Burgess, K. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7), 703-729.
Kuo, Y., Yang, T., Huang, G.W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
Lin, Y., Chen, M.Y., Liu, S. (2003). Theory of grey systems: capturing uncertainties of grey information. Kybernetes, 33(2), 196-218.
Min, H. (1994). international supplier selection: a multi-attribute utility approach. International journal of physical distribution & logistics management, 24(5), 24-33,
Peng, J. (2012). Selection of Logistics Outsourcing Service Suppliers Based on AHP. Energy Procedia, 17(1), 595-601.
Rezaei, J., & Ortt, R. (2013). Multi-criteria supplier segmentation using a fuzzy preference relation based AHP. European Journal of Operational Research, 225(1), 75-84.
Sakni, R. (2012). Analysis of theoretical and supply chain performance metrics across the organization. Automobile industry. 16(1). Retrieved from www. http://system.parsiblog.com
Shemwell, D.J., Yavas, U., Bilgin, Z. (1998). Customer-service provider relationships: an empirical test of a model of service quality, satisfaction and relationship-oriented outcomes. International Journal of Service Industry Management, 9(2), 155-168.
Stadtler H., & Kilger, C. (2002). Supply Chain Management and Advanced Planning. Berlin: Springer-Verlag.
Yang ,C.C., & Chen ,B.S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926-941.
