Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Algorithms for Multiple Autonomous Robotic Systems in Warehouse Order Picking Operations: A General Review Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Supplier Selection with Fuzzy TOPSIS- A Case Study on a Pharmacy in Izmir

Authors : Gamze Erdem, Gozde Ulutagay, Mert Paldrak

Published in: Industrial Engineering in the Covid-19 Era

Publisher: Springer Nature Switzerland

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Multi-criteria supplier selection problems are widely studied problems in the OR literature. Various criteria are inspected during the evaluation process. Although, selecting the appropriate criteria is not cumbersome, deciding on the weights of each criterion and performance weights for the suppliers is not easy. The difficulty arises due to fuzziness in the evaluation process. This fuzziness can be handled by some fuzzy methods due to its fuzzy nature. In this study, the aim is to show an appropriate selection of suppliers for a pharmacy located in Turkey by using the fuzzy TOPSIS method. The motivation behind selecting a pharmacy to conduct a case study is the significance of medicine supply, especially after Covid-19. In the case study, the fuzzy TOPSIS method is implemented on 4 suppliers from the pharmaceutical industry based on 11 selection criteria. Evaluations of 6 decision-makers who work in the pharmaceutical industry are gathered. Then, results are reported and conclusions, as well as future directions, are mentioned.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Comparative Analysis of Apriori and FP-Growth Algorithms for Market Basket Analysis Using Multi-level Association Rule Mining
next chapter Supplier Selection with Fuzzy Analytical Hierarchy Process
Literature
Wang, J.-W., Cheng, C.-H., Huang, K.-C.: Fuzzy hierarchical TOPSIS for supplier selection. Appl. Soft Comput. 9(1), 377–386 (2009)CrossRef
Zouggari, A., Benyoucef, L.: Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem. Eng. Appl. Artif. Intell. 25(3), 507–519 (2012)CrossRef
Liao, C.-N., Kao, H.-P.: An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Syst. Appl. 38(9), 10803–10811 (2011)CrossRef
Junior, F.R., Lima, L.O., Carpinetti, L.C.R.: A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Appl. Soft Comput. 21, 194–209 (2014)CrossRef
Rouyendegh, B.D., Saputro, T.E.: Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia-Soc. Behav. Sci. 116, 3957–3970 (2014)CrossRef
Lima-Junior, F.R., Carpinetti, L.C.R.: Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management. Int. J. Prod. Econ. 174, 128–141 (2016)CrossRef
Kannan, D., de Sousa Jabbour, A.B.L., Jabbour, C.J.C.: Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS ap-plied to a Brazilian electronics company. Eur. J. Oper. Res. 233(2), 432–447 (2014)
Nag, K., Helal, M.: A fuzzy TOPSIS approach in multi-criteria decision making for supplier selection in a pharmaceutical distributor. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE (2016)
Haddad, A.N., et al.: Application of fuzzy-TOPSIS method in supporting supplier selection with focus on HSE criteria: a case study in the oil and gas industry. Infra-structures 6(8), 105 (2021)
Shiraz, S.E., Sengül, Ü., Eren, M.: Determination of extend-ed fuzzy TOPSIS method of criteria leading to supplier selection for industries. Asian Soc. Sci. 10(4), 183 (2014)
Shahraki, A., Bakhshivand, A., Paghaleh, M.J.: Evaluate, analyze and selection of suppliers based on supply chain approach, Fuzzy TOPSIS (The study of Iran-Tabriz Tractor Manufacturing Company). Int. J. Bus. Soc. Sci. 2(14) (2011)
Laptate, V.R.: Fuzzy modified TOPSIS for supplier selection problem in supply chain management. Int. J. Innov. Res. Comput. Sci. Technol. 3, 22–28 (2015)
Yayla, A.Y., Yildiz, A., Ozbek, A.: Fuzzy TOPSIS method in supplier selection and application in the garment industry. Fibres Textiles Eastern Europe 4(93), 20–23 (2012)
Izadikhah, M.: Group decision making process for supplier selection with TOPSIS method under interval-valued intuitionistic fuzzy numbers. Advances in Fuzzy Systems 2012 (2012)
Kiliç, H.S.: Supplier selection application based on a fuzzy multiple criteria decision-making methodology. AJIT-e: Bilişim Teknolojileri Online Dergisi 3(8), 7–18 (2012)
Kumar, S., Kumar, S., Barman, A.G.: Supplier selection using fuzzy TOPSIS multi criteria model for a small-scale steel manufacturing unit. Procedia Comput. Sci. 133, 905–912 (2018)CrossRef
Özbek, A.: Supplier selection with fuzzy TOPSIS. J. Econ. Sustain. Dev. 6(18), 114–125 (2015)
Ayvaz, B., Boltürk, E., Kaçtioğlu, S.: Supplier selection with TOPSIS method in fuzzy environment: an application in banking sector. Sigma J. Eng. Nat. Sci. 33(3), 351–362 (2015)
Javad, M.O., Mohammad, M.D., Javad, A.O.M.: Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: a case study of Khouzestan steel company. Sustain. Futures 2, 100012 (2020)CrossRef
Büyüközkan, G., Çifçi, G.: A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Syst. Appl. 39(3), 3000–3011 (2012)CrossRef
Chen, C.-T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114(1), 1–9 (2000)CrossRefMATH
Bağcı, H., Atasever, M.: Türkiye Serbest Eczane Sektör Analizi, Türk Eczacıları Birliği Yayınları, Ankara (2020)
Bahadori, M., Hosseini, S.M., Teymourzadeh, E., Ravangard, R., Raadabadi, M., Ali-Mohammad Zadeh, K.: A supplier selection model for hospitals using a combination of artificial neural network and fuzzy VIKOR. Int. J. Healthcare Manag. 13, 1–9 (2017)
Dickson, G.W.: An analysis of vendor selection systems and decision. J. Res. 141, 70–87 (1996)
Cousins, P.D., Menguc, B.: The implications of socialization and integration in supply chain management. J. Oper. Manag. 24(5), 604–620 (2006)CrossRef
Saen, R.F.: A new mathematical approach for supplier selection: Accounting for non-homogeneity is important. Appl. Math. Comput. 185(1), 84–95 (2007)MathSciNetMATH
Weber, C.A., Current, J.R., Benton, W.C.: Vendor selection criteria and methods. Eur. J. Oper. Res. 50, 2–18 (1991)CrossRefMATH
Lambert, D., Adams, R., Emmelhainz, M.: Supplier selection criteria in the healthcare industry: a comparison of importance and performance. J. Supply Chain Manag. 33, 16–22 (2006)
Chang, B., Chang, C.W., Wu, C.H.: Fuzzy DEMATEL method for developing supplier selection criteria. Expert Syst. Appl. 38(3), 1850–1858 (2011)CrossRef
Çetintav B., Ulutagay G., Gürler S., Demirel N.: A new approach of combining expert judgment and data knowledge in multi-attribute decision making. In: 12th International FLINS Conference, 24–26 August 2016, Ensait, Roubaix, France (2016)
Metadata
Title
Supplier Selection with Fuzzy TOPSIS- A Case Study on a Pharmacy in Izmir
Authors
Gamze Erdem
Gozde Ulutagay
Mert Paldrak
Copyright Year
2023
Book
Industrial Engineering in the Covid-19 Era

Print ISBN: 978-3-031-25846-6

Electronic ISBN: 978-3-031-25847-3

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-25847-3_14