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Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors

Cilt: 22 Sayı: 4 1 Aralık 2019
  • Mehmet Burak Şenol *
  • Aylin Adem
  • Metin Dağdeviren
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Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors

Öz

The art of managing materials; logistics play a crucial role in efficiency and productivity of companies. It is very significant to determine most influential logistic factors since logistic costs account for 30% of total company costs. The factors affecting success of logistic enterprises such as cost, speed, reliability, customer satisfaction, distribution channel, company image, environmental friendliness and technological innovations are investigated and ranked in this study. Three different approaches based on Pythagorean Fuzzy sets, triangular fuzzy numbers and Analytic Hierarchy Process is offered for ranking these factors. Although it has been introduced to literature recently, the pythagorean fuzzy sets are widely employed in calculating uncertainty. The three most influential logistic factors are revealed as cost, speed and reliability, respectively by employing AHP, Fuzzy AHP and Pythagorean Fuzzy AHP, however factor weights are different. We think that the differences with in the AHP, F-AHP and PF-AHP results may stem from expressing evaluations in exact values, linguistic terms or in some cases it may be related to fulfilling the condition of membership and non-membership. Furthermore, top 10 logistic firms in Turkey are scored and ranked to these factors. Logistics, Pythagorean fuzzy sets, AHP, Fuzzy AHP, MCDM.

Anahtar Kelimeler

Kaynakça

  1. [1] Hensher, D. and Brewer, A., “Transport: An Economics and Management Perspective”, Oxford University Press, UK (2000).
  2. [2] Kumru, M. and Kumru, P.Y., “Analytic hierarchy process application in selecting the mode of transport for a logistics company” J. Adv.Transp. 48: 974–999, (2014).
  3. [3] Du, B., Guo, S., Huang, X., Li, Y. and Guo, J., A “Pareto supplier selection algorithm for minimum life cycle cost of complex product system”, Exp. Sys. with Appl., 42: 4253–4264, (2015).
  4. [4] Lai, K.-H., Ngai, E. W. T. and Cheng, T. C. E., “Measures for evaluating supply chain performance in transport logistics”, Transp. Res. Part E Log. and Transp. Rev., 38:439–456, (2002).
  5. [5] Liu, C.L. and Lyons, A. C., “An analysis of third-party logistics performance and service provision”, Transp. Res. Part E Log. and Transp. Rev., 47(4): 547–570, (2011).
  6. [6] Moghaddam, K. S., “Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty”, Exp. Sys. with Appl., 42:6237–6254, (2015).
  7. [7] Rezaei, J., Fahim, P. and Tavasszy, L., “Supplier selection in the airline retail industry using a funnel methodology: Conjunctive screening method and fuzzy AHP”, Exp. Sys. with Appl., 41: 8165–8179, (2014).
  8. [8] Straight, R. L., “Measuring contractors’ performance”, J. Sup.Chain Manag., 35(1):18–28, (1999).

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Düzeltme

Yazarlar

Mehmet Burak Şenol * Bu kişi benim

Aylin Adem Bu kişi benim

Metin Dağdeviren Bu kişi benim

Yayımlanma Tarihi

1 Aralık 2019

Gönderilme Tarihi

3 Nisan 2018

Kabul Tarihi

17 Haziran 2018

Yayımlandığı Sayı

Yıl 2019 Cilt: 22 Sayı: 4

Kaynak Göster

APA
Şenol, M. B., Adem, A., & Dağdeviren, M. (2019). Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi, 22(4), 793-800. https://doi.org/10.2339/politeknik.586041
AMA
1.Şenol MB, Adem A, Dağdeviren M. Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi. 2019;22(4):793-800. doi:10.2339/politeknik.586041
Chicago
Şenol, Mehmet Burak, Aylin Adem, ve Metin Dağdeviren. 2019. “Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors”. Politeknik Dergisi 22 (4): 793-800. https://doi.org/10.2339/politeknik.586041.
EndNote
Şenol MB, Adem A, Dağdeviren M (01 Aralık 2019) Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi 22 4 793–800.
IEEE
[1]M. B. Şenol, A. Adem, ve M. Dağdeviren, “Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors”, Politeknik Dergisi, c. 22, sy 4, ss. 793–800, Ara. 2019, doi: 10.2339/politeknik.586041.
ISNAD
Şenol, Mehmet Burak - Adem, Aylin - Dağdeviren, Metin. “Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors”. Politeknik Dergisi 22/4 (01 Aralık 2019): 793-800. https://doi.org/10.2339/politeknik.586041.
JAMA
1.Şenol MB, Adem A, Dağdeviren M. Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi. 2019;22:793–800.
MLA
Şenol, Mehmet Burak, vd. “Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors”. Politeknik Dergisi, c. 22, sy 4, Aralık 2019, ss. 793-00, doi:10.2339/politeknik.586041.
Vancouver
1.Mehmet Burak Şenol, Aylin Adem, Metin Dağdeviren. Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi. 01 Aralık 2019;22(4):793-800. doi:10.2339/politeknik.586041

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