Assessment of 3PL Providers for Hazardous Materials

Cilt: 2 Sayı: 2 19 Mart 2014
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Assessment of 3PL Providers for Hazardous Materials

Abstract

Hazardous materials (hazmat) production and transportation have been increasing continuously. Especially, as they could harm people and environment during hazmat transportation, the firms tend to give hazmat transportation and other logistic activities to third party logistics (3PL) providers. Although there are many studies on hazmat, to the best of our knowledge we have not met the studies on 3PL provider selection for hazmat. Therefore, the aim of this study is to propose an assessment multi criteria decision making (MCDM) model for the selection of 3PL provider for hazmat. In this model, fuzzy decision making trial and evaluation laboratory (DEMATEL) is used to weight of criteria. Fuzzy DEMATEL is a comprehensive technique to build and analyze a structural model involving causal relationships among complex criteria. Fuzzy TOPSIS is utilized to assess the alternatives. To show applicability and effectiveness of the proposed model, an illustrative example is presented in our study.

Keywords

Kaynakça

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  2. Alumur, S., & Kara, B. Y. (2007). A new model for the hazardous waste location-routing problem. Computers & Operations Research, 34(5), 1406-1423.
  3. Araz, C., Mizrak Ozfirat, P., & Ozkarahan, I. (2007). An integrated multicriteria decision-making methodology for outsourcing management. Computers & Operations Research, 34(12), 3738-3756.
  4. Baykasoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z. D., & Şahin, C. (2013). Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Systems with Applications, 40(3), 899-907.
  5. Berman, O., Verter, V., & Kara, B. Y. (2007). Designing emergency response networks for hazardous materials transportation. Computers & operations research, 34(5), 1374-1388.
  6. Bianco, L., Caramia, M., & Giordani, S. (2009). A bilevel flow model for hazmat transportation network design. Transportation Research Part C: Emerging Technologies, 17(2), 175-196.
  7. Bonvicini, S., & Spadoni, G. (2008). A hazmat multicommodity routing model satisfying risk criteria: A case study. Journal of Loss Prevention in the Process Industries, 21(4), 345-358.
  8. Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 11(4), 294-308.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yayımlanma Tarihi

19 Mart 2014

Gönderilme Tarihi

25 Mart 2014

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2014 Cilt: 2 Sayı: 2

Kaynak Göster

APA
Bali, Ö., & Eroğlu, Ö. (2014). Assessment of 3PL Providers for Hazardous Materials. Journal of Management and Information Science, 2(2), 27-40. https://doi.org/10.17858/jmisci.38531
AMA
1.Bali Ö, Eroğlu Ö. Assessment of 3PL Providers for Hazardous Materials. JMISCI. 2014;2(2):27-40. doi:10.17858/jmisci.38531
Chicago
Bali, Özkan, ve Özer Eroğlu. 2014. “Assessment of 3PL Providers for Hazardous Materials”. Journal of Management and Information Science 2 (2): 27-40. https://doi.org/10.17858/jmisci.38531.
EndNote
Bali Ö, Eroğlu Ö (01 Mart 2014) Assessment of 3PL Providers for Hazardous Materials. Journal of Management and Information Science 2 2 27–40.
IEEE
[1]Ö. Bali ve Ö. Eroğlu, “Assessment of 3PL Providers for Hazardous Materials”, JMISCI, c. 2, sy 2, ss. 27–40, Mar. 2014, doi: 10.17858/jmisci.38531.
ISNAD
Bali, Özkan - Eroğlu, Özer. “Assessment of 3PL Providers for Hazardous Materials”. Journal of Management and Information Science 2/2 (01 Mart 2014): 27-40. https://doi.org/10.17858/jmisci.38531.
JAMA
1.Bali Ö, Eroğlu Ö. Assessment of 3PL Providers for Hazardous Materials. JMISCI. 2014;2:27–40.
MLA
Bali, Özkan, ve Özer Eroğlu. “Assessment of 3PL Providers for Hazardous Materials”. Journal of Management and Information Science, c. 2, sy 2, Mart 2014, ss. 27-40, doi:10.17858/jmisci.38531.
Vancouver
1.Özkan Bali, Özer Eroğlu. Assessment of 3PL Providers for Hazardous Materials. JMISCI. 01 Mart 2014;2(2):27-40. doi:10.17858/jmisci.38531

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