طراحی و اجرای فرآیند ارزیابی تأمین‌کنندگان در سامانه مدیریت روابط تأمین‌کنندگان (SRM) (موردمطالعه: شرکت فولاد مبارکه)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، دانشگاه اصفهان.

2 کارشناسی ارشد، دانشگاه آزاد اسلامی، واحد نجف‌آباد، اصفهان.

3 کارشناسی، دانشگاه آزاد اسلامی، واحد نجف‌آباد، اصفهان.

چکیده

هدف این پژوهش ارائه چارچوبی برای فرآیند ارزیابی صلاحیت اولیه و ارزیابی عملکرد تأمین‌کنندگان و اجرای آن به‌عنوان بخشی از سامانه مدیریت روابط تأمین‌کنندگان در سیستم برنامه‌ریزی منابع سازمان «شرکت فولاد مبارکه» است. در این پژوهش ابتدا فرآیند فعلی «شرکت فولاد مبارکه» بررسی شده است و در ادامه با استفاده از بررسی مبانی نظری موضوع و نظرهای خبرگان، فرآیند ارزیابی صلاحیت اولیه و عملکرد تأمین‌کنندگان مجدداً طراحی و در غالب سامانه نرم‌افزاری مدیریت روابط تأمین‌کنندگان اجرا شده است. به این منظور پس از جمع‌آوری معیارها و روش‌های مناسب برای ارزیابی در این زمینه، با استفاده از روش دلفی، مناسب‌ترین معیارها برای ارزیابی تأمین‌کنندگان تعیین شده است. در فرآیند طراحی‌شده، صلاحیت اولیه تأمین‌کنندگان، پس از انتخاب معیارهای بایدی و عملکردی، تعیین م ی­شود؛ در مرحله دوم، عملکرد تأمین‌کنندگان در دو بخش استعلام و سفارش ارزیابی می‌شود. این فرآیند به شرکت کمک می‌کند تا تأمین‌کنندگان مناسب را انتخاب و عملکرد آنها را در زمان همکاری بررسی کند. شفافیت در این فرآیند باعث می‌شود متقاضیان همکاری با شرکت، دید خوبی نسبت به انتخاب یا عدم ­انتخاب خود در ابتدای فرآیند و ارزیابی عملکرد خود در طول دوره همکاری داشته باشند.

کلیدواژه‌ها

عنوان مقاله [English]

Designing and Implementation of Suppliers Evaluation Process in the Supplier Relationship Management System (SRM) (Case Study: Mobarakeh Steel Company)

نویسندگان [English]

  • Majid Esmaelian 1
  • Hossien Hematgir 2
  • Rasol Ghaenian 3
1 Associate Professor, University of Isfahan.
2 M.A., Najafabad Islamic Azad University, Isfahan.
3 B.A., Najafabad Islamic Azad University, Isfahan.
چکیده [English]

The purpose of this study is to provide a framework for the initial qualification and performance evaluation of suppliers and contractors and implement it as part of the supply chain management system in ERP system of the Mobarakeh Steel Company. In this research, the current process of Mobarakeh Steel Company has been investigated. Subsequently, using the review of the literature and the views of experts in the process of assessing the initial competence of suppliers, the design has been redesigned, and implemented in the supply chain management software system. After collecting the appropriate criteria and methods for evaluation in this field, the most appropriate criteria for assessing suppliers are determined using the Delphi method. In the design process, the initial qualification of suppliers will be determined after selecting the necessary and functional criteria. In the second stage, suppliersperformance is assessed in two parts of the inquiry and order.Transparency at stages of the process help the company to select the appropriate suppliers.Transparency in this process make the applicants to collaborate with the company to have a good view of choosing or not choosing at the beginning of the process and evaluating their performance over the course of partnership.

کلیدواژه‌ها [English]

  • Supplier
  • Supplier Evaluation
  • Initial Qualification Assesment
  • Performance Evaluation
  • Supplier Relationship Management

مراجع

1. Amid, A., Ghodsypour, Sh., & O’Brien, C. (2011). A weighted max–min model for fuzzy multi objective supplier selection in a supply chain.Int J ProdEcon, 1(131), 139-145.
2. Amin, SH., Razmi, J., & Zhang, G. (2011). Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming. Expert Syst Appl, (38), 334-342.
3. Chan, F.T.S., & Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, (35), 417-431.
4. Chopra, S., & Mendel, P. (2003). Supply ChainManagement: Strategy, Planning, and Operation.2nd Ed., Prentice-Hall Inc.,
5. Esmaelian, M., Tavana, M., Di Caprio, D., & Ansari, R. (2017). A multiple correspondence analysis model for evaluating technology foresight methods. Technological Forecasting and Social Change, 125, 188-205.
6. Geist, M. R. (2010). Using the Delphi method to engage stakeholders: a comparison of twostudies. Eval.Program Plan. 33(2), 147-154.
7. Gorener, A., Ayvaz, B., Kus¸akcı, A. O., & Altınok, E. (2017). A Hybrid Type-2 Fuzzy Based Supplier Performance Evaluation Methodology: The Turkish Airlines Technic Case. Applied Soft Computing, (56), 436-445.
8. Ghafari Toran, H. (2010). The Role of Supply Chain Management (SRM) in Logistics and Supply Chain, Iranian Journal of Supply Chain Managemen, 32, 34-45 (In Persian).
9. Holt, Gary. (2009). Contractor selectioninnovation: examination of twodecades’published research.ConstructionInnovation, 10)3(, 304-328.
10. Horner, K., Islam, M., Flygare, L., Tsiklakis, K., &Whaites, E., (2009). Basic principles for use of dental cone beam computed tomography: consensus guidelines of the European Academy of Dental and Maxillofacial Radiology. Dentomaxillofac. Radiol, 38(4), 187-195.
11. Houshmandi. M., Amiri, M., & Olfat, L. (2013). An integrated approach for supplier selection in a supply chain: IT capabilities approach. Journal of Industrial Management Perspective, 8, 91-115 (In Persion).
12. Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications.New York: Springer-Verlag.
13. Jafarnejad, A., Esmaelian, M., & Rabieh, M. (2009). Assessment and selection of suppliers in the supply chain in a single mode with a fuzzy approach. Management Research in Iran, 12, 127-153 (In Persian).
14. Kahraman C., Cebeci, U., & Ulukan, Z. (2003). Multi criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-94.
15. Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017). A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations. Computers & Industrial Engineering, (112), 156-174.
16. Kraljic, P. (1983). Purchasing must become supply management. Harv.Bus.Rev, 61(5), 109-117.
17. Lee, A. H. I. (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Syst Appl, (36), 2879-2893.
18. Liang, C., & Li, Q. (2006). Manufacturing execution systems (MES) assessment and investment decision study. In: Proceedings of 2006 IEEE international conference on systems, and cybernetics, Taipei, Taiwan, 5285-5290.
19. Lin, C-T., Chen, C-B., & Ting Y-C. (2011). An ERP model for supplier selection in electronics industry. Expert Syst Appl. 3(38), 1760-1765.
20. Morovati, A., Kazemi, F., & Hayati, M. (2013). Supplier selection with fuzzy MCDM approach and fuzzy QFD (Case Study: Snow-Pars co. of Yazd). Journal of Industrial Management Perspective, 10, 129-146 (In Persian).
21. Rabieh, M., & Esmaelian, M., (2011). Designing a Fuzzy Non-Linear Model of Supplier Selection in Case of Multiple Sourcing. Journal of Indusrial Mangement Perspective, 4, 81-105 (In Persian).
22. Rahimi, Y., Razmi, J., Cheraghi, E., & Shojaee, S. (2016). Design of an innovative performance assessment of suppliers / contractors in the supply chain of construction projects. Journal of Industrial Engineering, 45(2), 199-210 (In Persian).
23. Saaty, Th. L., & Ozdemir, M.S. (2004). The Encyclicon: A Dictionary of Decisions with Dependence and Feedback Based on the Analytic Network Process. RWS Publications, Pittsburgh.
24. Shahryari Nia, A., Olfat, L., Esmaeili, A., Rostamzadeh, R., & Antuchevičienė, J. (2016).“Using fuzzy Choquet Integral operator for supplier selection with environmental considerations”. Journal of Business Economics and Management, 17(4), 503-526.
25. Steven, A. B., Dong, Y., & Corsi, T. (2014). Global sourcing and quality recalls: Anempirical study of outsourcing-supplier concentration-product recalls linkages. Journal of OperationsManagement, 32(5), 241-253.
26. Talebi, D., & Iron, F. (2015). Identification of Risk Factors of Supply Chain and Supplier Selection with Analytical Network Process (Case: Automobile Indastry). Journal of Industrial Management Perspective, 5, 91-115 (In Persian).
27. Tale khorsand, H. (2013). Tender Laws along with Executive Agreements, Tehran (In Persian).
28. Zhang, J. L., & Zhang, M. Y. (2011). Supplier selection and purchase problem with fixed cost and constrained order quantities under stochastic demand. International Journal of Production Economics, 129(1), 1-7.
29. Zhong, L., & Yao, L. (2017). An ELECTRE I-based Multi-criteria Group Decision Making Method with Interval Type-2 Fuzzy Numbers and Its Application to Supplier Selection.Applied Soft Computing, (57), 556-576.

فایل ها

هم رسانی

ارجاع به این مقاله

آمار