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A Multi Criteria Decision Making Methodology Based Novel Model For Supplier Selection

Year 2020, , 410 - 423, 31.05.2020
https://doi.org/10.31202/ecjse.648856

Abstract

Supplier selection and measurement of supplier performance are multiple criteria decision making (MCDM) problems and have strategic importance for all industries. The study contains analyzed factors that are affecting the process of the supply chain with respect to supplier performance. Supplier performance measures is a tool to determine whether suppliers are doing their job as expected. The importance of supplier performance measurement should not be underestimated due to direct and indirect productivity-related consequences. Supplier evaluation is a complex multiple criteria decision-making problem that is affected by several conflicting factors. Because of this, the measurement of supplier performance has been becoming increasingly important and critical throughout the world. The purpose of this paper is to investigate the MCDM methods and propose a novel method in order to check how the performance of suppliers is being measured with using three different methods. Qualification and final selection of the supplier can be done with a proposed novel model. In the study, the criteria are weighted with the Analytical Hierarchy Process, while TOPSIS and VIKOR methods are used to evaluate and rank the suppliers. Evaluating supplier performance, derive the importance of the main criteria and sub-criteria applied in decision-matrix to sort the suppliers according to the measurement of supplier performance criteria.

References

  • Referans1 Dornfeld DA. (2012).Green Manufacturing: Fundamentals and Applications. 1st ed. New York, NY, USA, Springer Science & Business Media.
  • Referans2 Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M. (2018). Green Supplier Selection Using Fuzzy Group Decision Making Methods: A Case Study From the Agri-Food Industry”. Computers & Operations Research, 89, 337-347.
  • Referans3 Shen B, Li Q. (2015). Impacts of Returning Unsold Products in Retail Outsourcing Fashion Supply Chain: A Sustainability Analysis. Sustainability, 7(2), 1172-1185.
  • Referans4 Govindan K, Kaliyan M, Kannan D, Haq A. (2014). Barriers Analysis for Green Supply Chain Management Implementation In Indian Industries Using Analytic Hierarchy Process. International Journal of Production Economics, 147, 555-568.
  • Referans5 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.
  • Referans6 Azadnia AH, Samana MZM, Wonga KY, Ghadimib P, Zakuanc N. (2012). Sustainable Supplier Selection Based on Self-Organizing Map Neural Network and Multi Criteria Decision Making Approaches. Procedia Social and Behavioral Sciences, 65, 879-884.
  • Referans7 Gul M, Guneri AF. (2016). A Fuzzy Multi Criteria Risk Assessment Based On Decision Matrix Technique: A Case Study for Aluminum Industry. Journal of Loss Prevention in the Process Industries, 40, 89-100.
  • Referans8 Ebrahimnejad S, Mousavi, SM, Seyrafianpour H. (2010). Risk Identification and Assessment for Build–Operate Transfer Projects: A Fuzzy Multi Attribute Decision Making Model. Expert Systems with Applications, 37(1), 575-586.
  • Referans9 Vahdani B, Salimi M, Charkhchian M. (2014). A New FMEA Method By Integrating Fuzzy Belief Structure And TOPSIS to Improve Risk Evaluation Process. The International Journal Of Advanced Manufacturing Technology, 77(1-4), 357-368,
  • Referans10 Ulutas, A., Shukla, N., Kiridena, S., & Gibson, P. (2016). A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework. International Journal of Production Research, 54(5), 1554- 1567.
  • Referans11 Ulutas, A., Bayrakçil A. (2017). Gri AHS Ve Aras-G Kullanimi ile Bir Restoran İçin Sebze Tedarikçisinin Değerlendirilmesi. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi 18 (2), 189-204.
  • Referans12 S. Thiruchelvam, J.E. Tookey, (2011) Evolving Trends of Supplier Selection Criteria and Methods. International Journal of Automotive and Mechanical Engineering (IJAME), p. 437-454.
  • Referans13 A.E. Cengiza, O.A., I. Ozdemirb, H. Kusanb, A. Cabuka, (2017). A Multi-Criteria Decision Model for Construction Material Supplier Selection. p. 294 – 301.
  • Referans14 Taherdoost, Hamed and Brard Aurelie. (2019). Analyzing the process of supplier selection criteria and methods. Procedia Manufacturing. 32 1024-1034.
  • Referans15 Aragonés-Beltrána P, Mendoza-Rocab J, Bes-Piáa A, García-Melón M, Parra-Ruiz E. , (2009).”Application Of Multicriteria Decision Analysis to Jar-Test Results for Chemicals Selection in The Physical–Chemical Treatment of Textile Wastewater”. Journal of Hazardous Materials, 164(1), 288-295.
  • Referans16 Guneri AF, Gul M, Ozgurler S. (2015).“A Fuzzy AHP Methodology for Selection of Risk Assessment”. International Journal of Risk Assessment and Management, 18(3-4), 319.
  • Referans17 Saaty, TL.(1990). “How to Make a Decision: The Analytic Hierarchy Process”. European Journal of Operational Research, 48(1), 9–26.Referans18 Tzeng GH, Huang JJ. (2011).Multiple Attribute Decision Making: Methods and Applications. 1st ed. Boca Raton, FL, CRC Press.

Tedarikçi Seçiminde Çok Kriterli Karar Verme Tabanlı Yeni Bir Model

Year 2020, , 410 - 423, 31.05.2020
https://doi.org/10.31202/ecjse.648856

Abstract

Tedarikçi seçimi ve performansının ölçülmesi tüm endüstriler için stratejik öneme sahip çok kriterli karar verme (ÇKKV) problemleridir. Çalışma, tedarik zinciri sürecini etkileyen, analiz edilmiş faktörlerin tedarikçi performansına dayalı şekilde ölçümlenmesini içermektedir. Tedarikçi performans ölçütleri, tedarikçilerin işlerini beklendiği ve istenilen formatta yapıp yapmadıklarını belirleyen bir araçtır. Tedarikçi performans ölçümü verimlilikle alakalı doğrudan ve dolaylı sonuçları sebebiyle hafife alınmamalıdır. Tedarikçi değerlendirmesi, çeşitli ve karmaşık faktörlerden etkilenen yapıda, çok kriterli bir karar verme problemidir. Bu nedenle, tedarikçi performansının ölçülmesi giderek daha önemli ve kritik hale gelmektedir. Bu çalışmanın amacı, tedarikçilerin performansının ölçümlenmesini ÇKKV yöntemleriyle incelemek ve üç yöntemi barındıran yeni bir metodolojisi önermektir. Çalışmada Analitik Hiyerarşi Süreci yöntemi ile kriterlerin ağırlandırılması yapılırken TOPSIS ve VIKOR yöntemleri ile tedarikçilerin değerlendirilmesi ve sıralanması sağlanmaktadır. Tedarikçi yeterliliğinin testi ve nihai seçimi önerilen yeni modelle yapılabilir. Tedarikçi performansının değerlendirilmesi, tedarikçi performansı için belirlenen ana ve alt kriterlere göre ölçümlenmekte ve karar matrisi ile alternatiflerin sıralanmasını sağlamaktadır. 

References

  • Referans1 Dornfeld DA. (2012).Green Manufacturing: Fundamentals and Applications. 1st ed. New York, NY, USA, Springer Science & Business Media.
  • Referans2 Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M. (2018). Green Supplier Selection Using Fuzzy Group Decision Making Methods: A Case Study From the Agri-Food Industry”. Computers & Operations Research, 89, 337-347.
  • Referans3 Shen B, Li Q. (2015). Impacts of Returning Unsold Products in Retail Outsourcing Fashion Supply Chain: A Sustainability Analysis. Sustainability, 7(2), 1172-1185.
  • Referans4 Govindan K, Kaliyan M, Kannan D, Haq A. (2014). Barriers Analysis for Green Supply Chain Management Implementation In Indian Industries Using Analytic Hierarchy Process. International Journal of Production Economics, 147, 555-568.
  • Referans5 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.
  • Referans6 Azadnia AH, Samana MZM, Wonga KY, Ghadimib P, Zakuanc N. (2012). Sustainable Supplier Selection Based on Self-Organizing Map Neural Network and Multi Criteria Decision Making Approaches. Procedia Social and Behavioral Sciences, 65, 879-884.
  • Referans7 Gul M, Guneri AF. (2016). A Fuzzy Multi Criteria Risk Assessment Based On Decision Matrix Technique: A Case Study for Aluminum Industry. Journal of Loss Prevention in the Process Industries, 40, 89-100.
  • Referans8 Ebrahimnejad S, Mousavi, SM, Seyrafianpour H. (2010). Risk Identification and Assessment for Build–Operate Transfer Projects: A Fuzzy Multi Attribute Decision Making Model. Expert Systems with Applications, 37(1), 575-586.
  • Referans9 Vahdani B, Salimi M, Charkhchian M. (2014). A New FMEA Method By Integrating Fuzzy Belief Structure And TOPSIS to Improve Risk Evaluation Process. The International Journal Of Advanced Manufacturing Technology, 77(1-4), 357-368,
  • Referans10 Ulutas, A., Shukla, N., Kiridena, S., & Gibson, P. (2016). A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework. International Journal of Production Research, 54(5), 1554- 1567.
  • Referans11 Ulutas, A., Bayrakçil A. (2017). Gri AHS Ve Aras-G Kullanimi ile Bir Restoran İçin Sebze Tedarikçisinin Değerlendirilmesi. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi 18 (2), 189-204.
  • Referans12 S. Thiruchelvam, J.E. Tookey, (2011) Evolving Trends of Supplier Selection Criteria and Methods. International Journal of Automotive and Mechanical Engineering (IJAME), p. 437-454.
  • Referans13 A.E. Cengiza, O.A., I. Ozdemirb, H. Kusanb, A. Cabuka, (2017). A Multi-Criteria Decision Model for Construction Material Supplier Selection. p. 294 – 301.
  • Referans14 Taherdoost, Hamed and Brard Aurelie. (2019). Analyzing the process of supplier selection criteria and methods. Procedia Manufacturing. 32 1024-1034.
  • Referans15 Aragonés-Beltrána P, Mendoza-Rocab J, Bes-Piáa A, García-Melón M, Parra-Ruiz E. , (2009).”Application Of Multicriteria Decision Analysis to Jar-Test Results for Chemicals Selection in The Physical–Chemical Treatment of Textile Wastewater”. Journal of Hazardous Materials, 164(1), 288-295.
  • Referans16 Guneri AF, Gul M, Ozgurler S. (2015).“A Fuzzy AHP Methodology for Selection of Risk Assessment”. International Journal of Risk Assessment and Management, 18(3-4), 319.
  • Referans17 Saaty, TL.(1990). “How to Make a Decision: The Analytic Hierarchy Process”. European Journal of Operational Research, 48(1), 9–26.Referans18 Tzeng GH, Huang JJ. (2011).Multiple Attribute Decision Making: Methods and Applications. 1st ed. Boca Raton, FL, CRC Press.
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Muhammet Fatih Ak 0000-0003-4342-296X

Publication Date May 31, 2020
Submission Date November 20, 2019
Acceptance Date February 6, 2020
Published in Issue Year 2020

Cite

IEEE M. F. Ak, “A Multi Criteria Decision Making Methodology Based Novel Model For Supplier Selection”, ECJSE, vol. 7, no. 2, pp. 410–423, 2020, doi: 10.31202/ecjse.648856.