طراحی یک سیستم خبره برای ارزیابی و انتخاب تأمین کننده

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، فناوری اطلاعات، دانشکدة فنی و مهندسی، دانشگاه قم، قم، ایران

2 کارشناس نرم‌افزار، دانشکدة فنی و مهندسی، دانشگاه رازی، کرمانشاه، ایران

3 استادیار گروه مهندسی صنایع، دانشگاه قم، قم، ایران

چکیده

یکی از فاکتورهای مهم در مدیریت زنجیرۀ تأمین، انتخاب تأمین‌کنندۀ مناسب است، به‌طوری‌که تصمیم‌گیری صحیح در این مورد سبب کاهش هزینه‌های خرید، ایجاد رابطۀ پایدار با تأمین‌کننده‌ها و تقویت استراتژی رقابتی در بازار می‌شود. در این مقاله ابتدا با بررسی مقالات مرتبط، معیارهای مهم در امر انتخاب به‌دست آمد و سپس با روش دلفی فازی، وزن­دهی معیارها و ارزیابی گزینه‌ها انجام گرفت. با رتبه‌بندی گزینه‌ها به‌روش تاپسیس فازی، پنج آستانه به‌دست آمد که با استفاده از این آستانه‌ها می­توان گزینه‌ها را به چهار دستۀ درجه یک، درجه دو، درجه سه و نامناسب تقسیم کرد. نتایجی که تا این مرحله به‌دست آمد، به دانش و قوانین سیستم خبرۀ پیشنهادی تبدیل شد. با استفاده از پوستۀ سیستم خبرۀ جاوا، طراحی و پیاده­سازی سیستم، طوری انجام گرفت که در آینده هم بتوان پایگاه دانش آن را بهنگام کرد. برای ایجاد یک رابط گرافیکی کاربر­پسند از زبان جاوا کمک گرفته شد. سیستم پیشنهادی و افراد خبره، جداگانه چندین نمونه را ارزیابی کردند که پس از مقایسه، نتایج به‌طور قابل­قبولی به هم نزدیک بودند.

کلیدواژه‌ها


عنوان مقاله [English]

Design an expert system for evaluation and selection supplier

نویسندگان [English]

  • Hassanali Mohammadi Motlagh 1
  • Alireza Mohammadi Motlagh 2
  • Jalal Rezaee Noor 3
1 MSc. Student in Information Technology, Faculty of Technical and Engineering, University of Qom, Iran
2 BSc. in Software engineering, Faculty of Technical and Engineering, University of Razi, Iran
3 Assistant Prof., Faculty of Technical and Engineering, University of Qom, Iran
چکیده [English]

Suitable supplier selection is the most important factor in supplier chain management; so that correct decisions in this phase, caused to reduce costs, make permanent relationship with suppliers and strong competitive strategy in market. In this paper, by reviewing the past articles, important related criteria found and then weighting of criteria and evaluation of alternatives were done with fuzzy Delphi. By ranking the alternatives in fuzzy TOPSIS, five thresholds obtained for grouping in the future. The results that obtained from these computations, converted to knowledge base (KB) of Expert System for Supplier Evaluation (ESSE). The ESSE was designed in Java Expert System Shell (Jess), so that its KB could be updated in the future. To make a user friendly interface, java language was used. The proposed system and experts individually evaluated some sample alternatives and by compare the results, they were very close.

کلیدواژه‌ها [English]

  • Supplier Selection
  • Fuzzy Delphi
  • fuzzy topsis
  • Expert system
Albino, V. & Garavelli, A.C. (1998). A neural network application to subcontractor rating in construction firms. International Journal of Project Management 16 (1): 9-14.
Amid, A., Ghodsypour, S.H. & O’Brien C. (2006). Fuzzy multiobjective linear model for supplier selection in a supply chain. Int. J. Prod. Econ. 104: 394–407.
Amiri, M. & Jahani, S. (2010). Application of IDEA/AHP for Supplier evaluation and Selection. Journal of Industrial Management 2(5): 5-18. (in Persian)
Anjali Awasthi, Chauhan, S.S. Goyal, S.K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modeling, 53( 1–2): 98-109
Araz, C., Ozfırat, P.M. & Ozkarahan, I. (2007). An integrated multicriteria decision-making methodology for outsourcing management. Comput. Oper. Res. 34: 3738–3756.
Athanasopoulos G., Riba, C. R. & Athanasopoulous, C. (2009). An Expert system for coating selection based on fuzzy logic and multi criteria system decision making. Expert System with application, 36: 10848-10853.
Bellman, R.E. & Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Sci. 17 (4): 141-164.
 
Bevilacqua, M., Ciarapica, F.E. & Giacchetta, G. (2006).A fuzzy-QFD approach to supplier selection. J. Purch. Supply Manage. 12: 14–27.
Bhattacharya, A., Geraghty, J. & Young,P. (2010). Supplier selection paradigm: an integrated hierarchical QFD methodology under multiple-criteria environment, Appl. Soft Comput. 10: 1013–1027.
Chen, C.M. (2009). A fuzzy-based decision-support model for rebuy procurement, Int. J. Prod. Econ. 122: 714-724.
Chen-Tung Chen. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems. 114(1): 1-9
Chen-Tung, C. & Ching-Torng, L. (2006).A fuzzy approach for supplier evaluation and selection in supply chain management. Production Economics. 102: 289-301.
Chen, Yuh-Jen. (2011). Structured methodology for supplier selection and evaluation in a supply chain, Information Sciences 181: 1651–1670
Dickson, G.W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing 2 (1): 5–17.
Dursun, M. & Karsak, E. E. (2013).  A QFD-based fuzzy MCDM approach for supplier selection. Applied Mathematical Modeling 37: 5864–5875.
Evans, R.H. (1981). Product involvement and industrial buying, J. Purch. Mater. Manage. 18: 23–28.
Faez, F., Ghodsypour, S.H. & O’Brien, C. (2009). Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model, Int. J. Production Economics 121:395–408.
Friedman-Hill, E. (2003). Jess in Action: Java Rule-Based Systems,  Manning Publications Co., Greenwich, CT.
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.
Haq, A.N. & Kannan, G. (2006) Design of an integrated supplier selection and multi-echelon distribution inventory model in a built-to-order supply chain environment, Int. J. Prod. Res. 44: 1963–1985.
Ho, W., Xu, X. D. & Prasanta K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202: 16-24.
Hou, J. & Su, D. (2007). EJB–MVC oriented supplier selection system for mass customization, Journal of Manufacturing Technology Management 18 (1): .54 – 71.
Hsu, H.M. & Chen, C.T. (1994). Fuzzy hierarchical weight analysis model for multicriteria decision problem. J. Chinese Inst. Industrial Eng. 11(3): 129-136.
Hwang, C.L. & Yoon, K. (1981). Multiple Attributes Decision Making Methods and Applications, Springer, Berlin Heidelberg.
Jackson P. (1998). Introduction to Expert Systems. 3rd ed. USA: Addison Wesley.
Kaufmann, A. & Gupta, M. M. (1988). Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Inc., New York.
Kaufmann, A. & Gupta, M.M. (1985). Introduction to Fuzzy Arithmetic: Theory and Applications. Van Nostrand Reinhold, New York.
Khoo, L.P., Tor, S.B. & Lee, S.S.G. ( 1998). The potential of intelligent software agents in the World Wide Web in the automated part procurement. International Journal of Purchasing and Materials Management 34(1): 46-52.
Li, C.C. & Fun, Y.P. (1997). A new measure for supplier performance evaluation. IIE Transactions. 29(1): 753-758.
Metaxiotis, K. S., Psarras, J. E. & Askounis, D. T. (2002). Gensys: An expert system for production scheduling. Industrial Management and Data System, 102:309-317.
Saen, R.F. (2007).  Suppliers selection in the presence of both cardinal and ordinal data, European Journal of Operational Research. 183 (2): 741–747.
Safari, H. & Talebi, J. (2011). Locating  automatic industrial facilities of Group Bahman using  ZOLP and Fuzzy TOPSIS. Journal of Industrial Management 3(6): 59 - 80 (in Persian).
Shahbandar Zadeh, H.,  Jafarnezhad, A. & Reeysi R. (2011). Using a Modified Extension of Mixed Fuzzy and Crisp Axiomatic Design Method in Vendor Selection for Supply Chain. Journal of Industrial Management 3(7): 37-54 (in Persian).
Shahriari, S.,  Razavi, S. & Asgharizadeh, E. (2013). Fuzzy DEA and modern approach FIEP / AHP for full ranking DMU (Case Study: Tehran University, Faculty of Humanities). Journal of Industrial Management 5(1): 21 - 42 (in Persian).
Vokurka, R.J., Choobineh, J. & Vadi, L. (1996). A prototype expert system for the evaluation and selection of potential suppliers. International Journal of Operations and Production Management. 16(12): 106-127.
Weber, C.A., Current, J.R. & Benton, W.C. (1991). Vendor selection criteria and methods. European Journal of Operational Research 50 (1): 2–18.
Wu, T., Shunk, D., Blackhurst, J., Appalla, R. (2007). AIDEA: A methodology for supplier evaluation and selection in a supplier-based manufacturing environment, International Journal of Manufacturing Technology and Management 11(2): 174–192.