An Aggregated Supplier Selection Method Based on QFD and TOPSIS (Case Study: A Financial Institution)

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 370

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_JOIE-12-1_004

تاریخ نمایه سازی: 21 خرداد 1398

Abstract:

With daily development of information technology supply chain of service-based organizations like financial institutions and the increased value of outsourced activities, also the importance of customer satisfaction, outsourced affairs must have done by the suppliers who have the ability of accomplishing the organizational demands. To mitigate the risk of invalid supplier selections, verification and selection of the suppliers should be performed with an optimized and systematic solution. In order to help the selection of suppliers in the IT department of financial organizations, a different model by using a hybrid QFD-TOPSIS solution in MCDM methods is suggested, in this study. First goal of the provided model is finding the most related criteria and the second one is offering an optimized solution to the supplier selection problem. To begin the QFD part in the mentioned method, two categories of criteria are needed. Then, after the formation of the House of Quality, in a real case study that was performed in a private bank in Iran, the suppliers are ranked by using the proposed method. The greatest efficiencies of this method are not only finding the best supplier by measuring the nearest distance to the ideal and the farthest one to the negative-ideal solution but also closing the opinions of employers to the technical requirements (sub-criteria) of information technology supplier qualifications. Finally, a model reliability part is designed to indicate the validation of the proposed method and a sensitivity analysis is implemented to find the most sensitive sub-criteria. That is the results of ranking alter if sensitive sub-criteria change .

Keywords:

Authors

Mohammad Ali Sobhanallahi

Faculty of Engineering, Department of Industrial Engineering, Kharazmi University, Tehran, Iran

Neda Zendehdel Nobari

Faculty of Engineering, Department of Industrial Engineering, Kharazmi University, Tehran, Iran

Seyed Hamid Reza Pasandideh

Faculty of Engineering, Department of Industrial Engineering, Kharazmi University, Tehran, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Bester field et al., Total Quality Management, 2008 ...
  • Bevilacqua, Maurizio, F. E. Ciarapica, and G. Giacchetta. A fuzzy-QFD ...
  • Boran, FatihEmre, et al. A multi-criteria intuitionistic fuzzy group decision ...
  • Carnevalli, Jose A., and Paulo Cauchick Miguel. Review, analysis and ...
  • Dargi, Ahmad, et al. Supplier selection: A fuzzy-ANP approach.  Procedia ...
  • Eshlaghy, Abbas Toloie, Alireza Pourebrahimi, and Babak Zendehdel Nobari. Presenting ...
  • Gumus, AlevTaskin. Evaluation of hazardous waste transportation firms by using ...
  • Hwang, C.L. K.P. Yoon, Multiple Attribute Decision Making: Methods and ...
  • Jahanshahloo, Gholam Reza, F. HosseinzadehLotfi, and Mohammad Izadikhah. An algorithmic ...
  • Junior, Francisco Rodrigues Lima, LauroOsiro, and Luiz Cesar Ribeiro Carpinetti. ...
  • Kar, Arpan Kumar. A hybrid group decision support system for ...
  • Karsak, E. Ertugrul, SevinSozer, and S. EmreAlptekin. Product planning in ...
  • Kumaraswamy, Aditya Hosanagara, et al. An integrated QFD-TOPSIS methodology for ...
  • Li, Ming, Lei Jin, and Jun Wang. A new MCDM ...
  • Rajesh, G., and P. Malliga. Supplier selection based on AHP ...
  • Tavana, Madjid, MortezaYazdani, and Debora Di Caprio. An application of ...
  • Wang,  J.W., C.H. Cheng, K.C. Huang, Fuzzy hierarchical TOPSIS for ...
  • Wang, Rong-Tsu. Improving service quality using quality function deployment: The ...
  • Yazdani, Morteza, et al. Integrated QFD-MCDM framework for green supplier ...
  • Yazdani, Morteza, SarfarazHashemkhaniZolfani, and EdmundasKazimierasZavadskas. New integration of MCDM methods ...
  • Yildiz, Aytac, and A. YesimYayla. Multi-criteria decision-making methods for supplier ...
  • Zouggari, Akram, and LyesBenyoucef. Simulation based fuzzy TOPSIS approach for ...