Fuzzy Analytical Hierarchy Process for Embedded Risk Reduction in Selecting the Right Planning Decision
Abstract
The aim of this work is to provide an efficient selection technique as a part of planning process to guide the decision makers to decide the preferences of one supplier over another for purchasing lab instruments in education domain. Fuzzy Analytical Hierarchy Process has used as a multi-criteria decision process, as an industrial engineering tool with certain emphasis on the qualitative aspects required to the decision makers. While the concept of degree of possibility for each criterion is used to reach its relative weights, a specific methodology created to reach the final objective decision of supplier selection. A questionnaire form was developed and distributed to five universities located in Baghdad province with a total number of 100 questionnaires. The response was very adequate. Three main criteria are adopted- supplier, instruments and service performance grade. Moreover, there are sixteen sub-criteria for evaluating three potential suppliers. The final decision is reached with almost risk-free as it relates to the qualitative aspects of experts. The conclusion reached is that local supplier has a large priority weight. Microsoft Excel is used to achieve the sequential calculations for Fuzzy AHP.
Downloads
References
Fatih Emre Boran, Serkan Genç, Mustafa Kurt, and Diyar Akay, "A Multi-Criteria Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method," Expert Systems with Applications, vol. 36, no. 8, pp. 11363-11368, 2009.
Thomas L. Saaty, "How to Make a Decision: The Analytic Hierarchy Process," The Institute of Management Sciences, vol. 24, no. 6, 1994.
Jiří Franek and Aleš Kresta, "Judgment Scales and Consistency Measure in AHP," in Enterprise and the Competitive Environment conference, Procedia Economics and Finance, vol. 12, 2014, pp. 164-173.
R. Dyer and E. Forman, An Analytical Approach to Marketing decisions. Harlow, United Kingdom: Prentice Hall, NJ., 1990.
Mehmet Sevkli, S. C. Lenny Koh, Selim Zaim, Mehmet Demirbag, and Ekrem Tatoglu, "An Application of Data Envelopment Analytic Hierarchy Process for Supplier Selection: A Case Study of BEKO in Turkey," International Journal of Production Research, vol. 45, no. 9, pp. 1973-2003, 2006.
Thomas L. Saaty and Luis G. Vargas, Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, 2nd ed. London: International Series in Operations Research & Management Science- Springer, 2012.
Darko Bozanic, Dragan Pamucar, and Nenad Komazec, "Application Of The Fuzzy Ahp Method In Risk Assessment In The Selection Of Navigation Vehicles Directions Of Serbian Army In Flooded Areas," in Seconed International Scientific Conference Safety And Crisis Management–Theory And Practise Safety For The Future., 2016, pp. 39-46.
Senay Oguztimur, "Why Fuzzy Analytic Hierarchy Process Approach For Transport Problems?," in 51st Congress of the European Regional Science Association: "New Challenges for European Regions and Urban Areas in a Globalised World", Barcelona, Spain, 2011.
Golam Kabir and Ahsan Akhtar Hasin, "Evaluation of Customer Oriented Success Factors in Mobile Commerce Using Fuzzy AHP," Journal of Industrial Engineering and Management, vol. 4, no. 2, pp. 361-386., 2011.
Zeshui Xu, "Some Similarity Measures of Intuitionistic Fuzzy Sets and Their Applications to Multiple Attribute Decision Making," Fuzzy Optimization and Decision Making, vol. 6, no. 2, pp. 109–121, 2007.
L. A. Zadeh, "Fuzzy Sets," Information and Control, vol. 8, pp. 338–353, 1965.
Peide Liu and T. Wang, "Method for Multiple Attribute Decision Making with Triangular Fuzzy Number and Partial Attribute Weight Information," Journal of Information and Computational Science, vol. 4, no. 3, pp. 1017–1022, 2007.
Deng-Feng Li, "A Ratio Ranking Method of Triangular Intuitionistic Fuzzy Numbers and Its Application to MADM Problems," Computers and Mathematics with Applications, vol. 60, no. 6, pp. 1557-1570, 2010.
Zhangyan Xu, Shichao Shang, Wenbin Qian, and Wenhao Shu, "A Method for Fuzzy Risk Analysis Based on the New Similarity of Trapezoidal Fuzzy Numbers," Expert Systems with Applications, vol. 37, no. 3, pp. 1920-1927, 2010.
S. Abbasbandy and T. Hajjari, "A New Approach for Ranking of Trapezoidal Fuzzy Numbers," Computers and Mathematics with Applications, vol. 57, no. 3, pp. 413-419, 2009.
Jun Ye, "Expected Value Method for Intuitionistic Trapezoidal Fuzzy Multi Criteria Decision-Making Problems," Expert Systems with Applications, vol. 38, no. 9, pp. 11730-11734, 2011.
Yu-Cheng Tang and Ching-Ter Chang, "Multi-Criteria Decision-Making Based on Goal Programming and Fuzzy Analytic Hierarchy Process: An Application to Capital Budgeting Problem," Knowledge- Based Systems, vol. 26, pp. 288-293, 2012.
Zhongliang Yue, "An Extended TOPSIS for Determining Weights of Decision Makers with Interval Numbers," Knowledge-Based Systems, vol. 24, no. 1, pp. 146-153, 2011.
Weilong Liu and Peide Liu, "Hybrid Multiple Attribute Decision Making Method Based on Relative Approach Degree of Grey Relation Projection," African Journal of Business Management, vol. 4, no. 17, pp. 3716–3724, 2010.
Hafiz Muhmmad khurram Ali, Aamir Sultan, and Bakht Bahadur Rana, "Captive Power Plant Selection for Pakistan Cement Industry in Perspective of Current Energy Crises: A Fuzzy-AHP Approach," Mehran University Research Journal of Engineering and Technology, Pakistan, vol. 36, no. 4, pp. 769-780, 2017.
Liyuan Zhang, Xuanhua Xu, and Li Tao, "Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making," Journal of Applied Mathematics, vol. 2013, p. 7 , 2013.
Cengiz Kahraman, Ufuk Cebeci, and Ziya Ulukan, "Multi‐Criteria Supplier Selection Using Fuzzy AHP," Logistics Information Management, vol. 16, no. 6, pp. 382-394, 2003.
Ozcan Kilincci and Suzan Aslı Onal, "Fuzzy AHP Approach for Supplier Selection in A Washing Machine Company," Expert systems with Applications, vol. 38, no. 8, pp. 9656-9664, 2011.
Süleyman Çakır, "Selecting the Best Supplier at A Steel-Producing Company Under Fuzzy Environment," International Journal of Advanced Manufacturing Technology-Springer, vol. 88, no. 5–8, 2017.
M. R. Galankashi, S. A. Helmi, and P. Hashemzahi, "Supplier Selection in Automobile Industry: A Mixed Balanced Scorecard–Fuzzy AHP Approach," Alexandria Engineering Journal, vol. 55, no. 1, pp. 93-100, 2016.
V., Sangaiah, A.K., Sakhuja, S. et al. Jain, "Supplier Selection Using Fuzzy AHP and TOPSIS: A Case Study in The Indian Automotive Industry," Neural Computing and Applications, vol. 29, no. 7, pp. 555–564, 2018.
Da-Yong Chang, "Applications of The Extent Analysis Method on Fuzzy AHP," European Journal of Operational Research, vol. 95, no. 3, pp. 649-655, 1996.
Sunita Gurung and Ruben Phipon, "Multi-Criteria Decision Making For Supplier Selection Using AHP and TOPSIS Method," International Journal of Engineering Inventions, vol. 6, no. 2, pp. 13-17, 2016.
R., Golliat, L., & Aguiar, E. Santis, "Multi-Criteria Supplier Selection Using Fuzzy Analytic Hierarchy Process: Case Study from A Brazilian Railway Operator," Brazilian Journal of Operations & Production Management, vol. 14, no. 3, pp. 428-437, 2017.
Ahmet Beşkese and Cihan Evecen , "Supplier Selection In Healthcare Sector," Journal of Trends in the Development of Machinery and Associated Technology, vol. 16, no. 1, pp. 91-94, 2012.
C. López and J. L. Salmerón, "Ranking Risks in Ambient Intelligence Projects," Journal of Applied Research and Technology, vol. 9, no. 3, pp. 419–429, 2011.
Andrejs Radionovs and Oļegs Užga Rebrovs, "Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment," Information Technology and Management Science, vol. 19, pp. 16–22, 2016.
(Received 20 March 2019; accepted 21 July 2019)
Copyright: Open Access authors retain the copyrights of their papers, and all open access articles are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations. While the advice and information in this journal are believed to be true and accurate on the date of its going to press, neither the authors, the editors, nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.
