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Freight Transport Mode Selection with Evaluation Based on Distance from Average Solution (EDAS) Under Picture Fuzzy Enviroment

Year 2020, Volume: 3 Issue: 1, 24 - 33, 23.04.2020

Abstract

Decision making is one of the crucial human skills in any processes that are becoming more complex. One of the ways that can be used to make the decision making processes precise is multi-criteria decision making methods (MCDM). These methods help to create decision support systems that operate similarly to the decision-making process of the human, by the fuzzy logic approach. In this study, to decide between railroad, seaway, roadway and airline transportation modes for freight transportation, which will be the export point as Istanbul and import point as the Netherlands, EDAS (Evaluation based on Distance from Average Solution) by the form PFN (Picture Fuzzy Numbers fuzzy logic form is used. In this scope; cost, time, reliability and frequency criteria are used to create evaluation matrices that will be used by experts to decide between modes of transport, taking into account the studies in the literature and the opinions of experts. As a result, the most suitable mode of transportation for the cargo from Istanbul to the Netherlands is seaway.

References

  • Barnhart, C., Belobaba, P., & Odoni, A. R. (2003). Applications of operations research in the air transport industry. Transportation Science, 37(4), 368–391. https://doi.org/10.1287/trsc.37.4.368.23276
  • Berle, Ø., Asbjørnslett, B. E., & Rice, J. B. (2011). Formal Vulnerability Assessment of a maritime transportation system. Reliability Engineering and System Safety, 96(6), 696–705. https://doi.org/10.1016/j.ress.2010.12.011
  • Byon, Y.-J., Abdulhai, B., & Shalaby, A. (2009). Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices. Journal of Intelligent Transportation Systems, 13(4), 161–170. https://doi.org/10.1080/15472450903287781
  • Cuong, Bui Cong, and Vladik Kreinovich. "Picture Fuzzy Sets-a new concept for computational intelligence problems." 2013 Third World Congress on Information and Communication Technologies (WICT 2013). IEEE, 2013.
  • Feo, M., Espino, R., & García, L. (2011). An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea. Transport Policy, 18(1), 60–67. https://doi.org/10.1016/j.tranpol.2010.05.009
  • García-Menéndez, L., Martínez-Zarzoso, I., & Pinero De Miguel, D. (2004). Determinants of mode choice between road and shipping for freight transport: Evidence for four Spanish exporting sectors. Journal of Transport Economics and Policy, 38(3), 447–466.
  • Holguín-Veras, J., Xu, N., de Jong, G., & Maurer, H. (2011). An Experimental Economics Investigation of Shipper-carrier Interactions in the Choice of Mode and Shipment Size in Freight Transport. Networks and Spatial Economics, 11(3), 509–532. https://doi.org/10.1007/s11067-009-9107-x
  • Jeffs, V. P., & Hills, P. J. (1990). Determinants of modal choice in freight transport - A case study. Transportation, 17(1), 29–47. https://doi.org/10.1007/BF02125502
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
  • Li, X., Ju, Y., Ju, D., Zhang, W., Dong, P., & Wang, A. (2019). Multi-Attribute Group Decision Making Method Based on EDAS Under Picture Fuzzy Environment. IEEE Access, 7, 141179-141192.
  • Matear, S., & Richard, G. (1993). Factors Influencing Freight Service Choice for Shippers and Freight Suppliers. International Journal of Physical Distribution & Logistics Management, 23(2), 25–35. https://doi.org/10.1108/09600039310038198
  • Qu, L., Chen, Y., & Mu, X. (2008). A transport mode selection method for multimodal transportation based on an adaptive ANN system. Proceedings - 4th International Conference on Natural Computation, ICNC 2008, 3, 436–440. https://doi.org/10.1109/ICNC.2008.165
  • Reis, V. (2014). Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model. Transportation Research Part A: Policy and Practice, 61, 100–120. https://doi.org/10.1016/j.tra.2014.01.002
  • Rietveld, P. (2000). The accessibility of railway stations: The role of the bicycle in The Netherlands. Transportation Research Part D: Transport and Environment, 5(1), 71–75. https://doi.org/10.1016/S1361-9209(99)00019-X
  • Samimi, A., Kawamura, K., & Mohammadian, A. (2011). A behavioral analysis of freight mode choice decisions. Transportation Planning and Technology, 34(8), 857–869. https://doi.org/10.1080/03081060.2011.600092
  • Vannieuwenhuyse, B., Gelders, L., & Pintelon, L. (2003). An online decision support system for transportation mode choice, 16(2), 125–133. https://doi.org/10.1108/09576050310467269
  • Yedla, S., & Shrestha, R. M. (2003). Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi. Transportation Research Part A: Policy and Practice, 37(8), 717–729. https://doi.org/10.1016/S0965-8564(03)00027-2
  • Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353. Zhang, Siqi, et al. "EDAS method for multiple criteria group decision making with picture fuzzy information and its application to green suppliers selections." Technological and Economic Development of Economy, 25, 6, 2019, 1123-1138.

Yük Taşımacılığı için Bulanık EDAS Yöntemi ile Taşıma Modu Seçimi

Year 2020, Volume: 3 Issue: 1, 24 - 33, 23.04.2020

Abstract

Gittikçe daha çok karmaşık hale gelen süreçler içerisinde karar vermek insana ait hayati becerilerden biridir. Karar verme süreçlerini daha az hatalı hale getirebilmek için başvurulabilecek yollardan biri ÇKKV (Çok kriterli karar verme) yöntemleridir. Bu yöntemler bulanık mantık yaklaşımı sayesinde insanın karar verme sürecine benzer şekilde işleyen karar destek sistemleri oluşturulmasına yardımcı olmaktadır. Bu çalışmada İstanbul çıkış ve Hollanda varış noktası olacak şekilde yük taşmacılığı için demiryolu, denizyolu, karayolu ve havayolu taşıma modları arasında karar vermek amacıyla PFN (Picture Fuzzy Numbers) bulanık formunda, ortalama çözüm uzalığına göre değerlendirme kısaca EDAS yöntemi kullanılmıştır. Çalışmada taşıma modları arasında karar vermek için uzmanlar tarafından kullanılacak değerlendirme matrislerinin oluşturulmasında literatürdeki çalışmalar ve uzmanların görüşleri göz önünde bulundurularak maliyet, zaman, güvenilirlik ve frekans kriterleri kullanılmıştır. Sonuç olarak İstanbul’dan Hollanda’ya gönderilecek yük için en uygun taşıma modunun denizyolu olduğuna karar verilmiştir.

References

  • Barnhart, C., Belobaba, P., & Odoni, A. R. (2003). Applications of operations research in the air transport industry. Transportation Science, 37(4), 368–391. https://doi.org/10.1287/trsc.37.4.368.23276
  • Berle, Ø., Asbjørnslett, B. E., & Rice, J. B. (2011). Formal Vulnerability Assessment of a maritime transportation system. Reliability Engineering and System Safety, 96(6), 696–705. https://doi.org/10.1016/j.ress.2010.12.011
  • Byon, Y.-J., Abdulhai, B., & Shalaby, A. (2009). Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices. Journal of Intelligent Transportation Systems, 13(4), 161–170. https://doi.org/10.1080/15472450903287781
  • Cuong, Bui Cong, and Vladik Kreinovich. "Picture Fuzzy Sets-a new concept for computational intelligence problems." 2013 Third World Congress on Information and Communication Technologies (WICT 2013). IEEE, 2013.
  • Feo, M., Espino, R., & García, L. (2011). An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea. Transport Policy, 18(1), 60–67. https://doi.org/10.1016/j.tranpol.2010.05.009
  • García-Menéndez, L., Martínez-Zarzoso, I., & Pinero De Miguel, D. (2004). Determinants of mode choice between road and shipping for freight transport: Evidence for four Spanish exporting sectors. Journal of Transport Economics and Policy, 38(3), 447–466.
  • Holguín-Veras, J., Xu, N., de Jong, G., & Maurer, H. (2011). An Experimental Economics Investigation of Shipper-carrier Interactions in the Choice of Mode and Shipment Size in Freight Transport. Networks and Spatial Economics, 11(3), 509–532. https://doi.org/10.1007/s11067-009-9107-x
  • Jeffs, V. P., & Hills, P. J. (1990). Determinants of modal choice in freight transport - A case study. Transportation, 17(1), 29–47. https://doi.org/10.1007/BF02125502
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
  • Li, X., Ju, Y., Ju, D., Zhang, W., Dong, P., & Wang, A. (2019). Multi-Attribute Group Decision Making Method Based on EDAS Under Picture Fuzzy Environment. IEEE Access, 7, 141179-141192.
  • Matear, S., & Richard, G. (1993). Factors Influencing Freight Service Choice for Shippers and Freight Suppliers. International Journal of Physical Distribution & Logistics Management, 23(2), 25–35. https://doi.org/10.1108/09600039310038198
  • Qu, L., Chen, Y., & Mu, X. (2008). A transport mode selection method for multimodal transportation based on an adaptive ANN system. Proceedings - 4th International Conference on Natural Computation, ICNC 2008, 3, 436–440. https://doi.org/10.1109/ICNC.2008.165
  • Reis, V. (2014). Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model. Transportation Research Part A: Policy and Practice, 61, 100–120. https://doi.org/10.1016/j.tra.2014.01.002
  • Rietveld, P. (2000). The accessibility of railway stations: The role of the bicycle in The Netherlands. Transportation Research Part D: Transport and Environment, 5(1), 71–75. https://doi.org/10.1016/S1361-9209(99)00019-X
  • Samimi, A., Kawamura, K., & Mohammadian, A. (2011). A behavioral analysis of freight mode choice decisions. Transportation Planning and Technology, 34(8), 857–869. https://doi.org/10.1080/03081060.2011.600092
  • Vannieuwenhuyse, B., Gelders, L., & Pintelon, L. (2003). An online decision support system for transportation mode choice, 16(2), 125–133. https://doi.org/10.1108/09576050310467269
  • Yedla, S., & Shrestha, R. M. (2003). Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi. Transportation Research Part A: Policy and Practice, 37(8), 717–729. https://doi.org/10.1016/S0965-8564(03)00027-2
  • Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353. Zhang, Siqi, et al. "EDAS method for multiple criteria group decision making with picture fuzzy information and its application to green suppliers selections." Technological and Economic Development of Economy, 25, 6, 2019, 1123-1138.
There are 18 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Umut Aydın 0000-0003-4802-8793

Üstün Atak 0000-0002-1513-7371

Publication Date April 23, 2020
Submission Date February 8, 2020
Acceptance Date March 26, 2020
Published in Issue Year 2020 Volume: 3 Issue: 1

Cite

APA Aydın, U., & Atak, Ü. (2020). Yük Taşımacılığı için Bulanık EDAS Yöntemi ile Taşıma Modu Seçimi. Akıllı Ulaşım Sistemleri Ve Uygulamaları Dergisi, 3(1), 24-33.