Assessment of 3PL Providers for Hazardous Materials

Year 2014, Volume: 2 Issue: 2, 27 - 40, 19.03.2014

Özkan Bali , Özer Eroğlu

https://doi.org/10.17858/jmisci.38531

Cited By: 2

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

Fuzzy DEMATEL, Fuzzy TOPSIS, Hazardous Materials, Multi Criteria Decision Making, Third Party Logistics.

References

• Aksakal, E., & Dağdeviren, M. (2010). An Integrated Approach to Personnel Selection Problem By Using ANP and Dematel, Journal of the Faculty of Engineering & Architecture of Gazi University, 25(4).
• Alumur, S., & Kara, B. Y. (2007). A new model for the hazardous waste location-routing problem. Computers & Operations Research, 34(5), 1406-1423.
• Araz, C., Mizrak Ozfirat, P., & Ozkarahan, I. (2007). An integrated multicriteria decision-making methodology for outsourcing management. Computers & Operations Research, 34(12), 3738-3756.
• 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.
• Berman, O., Verter, V., & Kara, B. Y. (2007). Designing emergency response networks for hazardous materials transportation. Computers & operations research, 34(5), 1374-1388.
• 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.
• 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.
• 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.
• Bubbico, R., Di Cave, S., & Mazzarotta, B. (2004). Risk analysis for road and rail transport of hazardous materials: a
• GIS approach. Journal of Loss Prevention in the Process Industries, 17(6), 483-488. Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
• Chou, Y. C., Sun, C. C., & Yen, H. Y. (2012). Evaluating the criteria for human resource for science and technology
• (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach. Applied Soft Computing, 12(1), 64-71. Chu, T. C. (2002). Selecting plant location via a fuzzy
• TOPSIS approach. The International Journal of Advanced Manufacturing Technology, 20(11), 859-864. Chu, T. C., & Lin, Y. C. (2003). A fuzzy TOPSIS method for robot selection.The International Journal of Advanced
• Manufacturing Technology, 21(4), 284-290. Çakir, E., Tozan, H., & Vayvay, O. (2009). A method for selecting third party logistic service provider using fuzzy
• AHP. Journal of Naval Science and Engineering, 5(3), 38 Dulmin, R., & Mininno, V. (2003). Supplier selection using a multi-criteria decision aid method. Journal of Purchasing and Supply Management, 9(4), 177-187.
• Ertuğrul, İ., & Karakaşoğlu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods.Expert Systems with Applications, 36(1), 702-715.
• Ghatee, M., Mehdi Hashemi, S., Zarepisheh, M., & Khorram, E. (2009). Preemptive priority-based algorithms for fuzzy minimal cost flow problem: An application in hazardous materials transportation. Computers & Industrial Engineering, 57(1), 341-354.
• Glickman, T. S., & Erkut, E. (2007). Assessment of hazardous material risks for rail yard safety. Safety science, 45(7), 813-822.
• Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36(2), 4067-4074.
• Ho, W., He, T., Lee, C. K. M., & Emrouznejad, A. (2012). Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach. Expert Systems with Applications, 39(12), 10841-10850.
• Hwang C. L., Yoon K. P., (1981). Multiple attribute decision making: Methods and applications. New York: SpringerVerlag.
• Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289.
• Kahraman, C., Çevik, S., Ates, N. Y., & Gülbay, M. (2007). Fuzzy multi-criteria evaluation of industrial robotic systems. Computers & Industrial Engineering,52(4), 4144
• Kulak, O., Durmuşoğlu, M. B., & Kahraman, C. (2005). Fuzzy multi-attribute equipment selection based on information axiom. Journal of Materials Processing Technology, 169(3), 337-345.
• Kuo, M. S. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6), 7208-7221. Leonelli, P., Bonvicini, S., & Spadoni, G. (2000). Hazardous materials transportation: a risk-analysis-based routing methodology. Journal of Hazardous Materials, 71(1), 283300.
• Lai, Y. J., Liu, T. Y., & Hwang, C. L. (1994). Topsis for MODM. European Journal of Operational Research, 76(3), 486-500.
• Li, F., Li, L., Jin, C., Wang, R., Wang, H., & Yang, L. (2012). A 3PL supplier selection model based on fuzzy sets. Computers & Operations Research, 39(8), 1879-1884. Li, D. F., &
• Wan, S. P., (2014). Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection. Expert Systems with Applications, 41(6), 3047-3059.
• Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.
• Liou, J. J., & Chuang, Y. T. (2010). Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications, 37(5), 375537
• Liu, X., Saat, M. R., & Barkan, C. P. (2013). Integrated risk reduction framework to improve railway hazardous materials transportation safety. Journal of hazardous materials, 260, 131-1
• Liu, H. T., & Wang, W. K. (2009). An integrated fuzzy approach for provider evaluation and selection in third-party logistics. Expert Systems with Applications, 36(3), 438743
• Montazer, G. A., Saremi, H. Q., & Ramezani, M. (2009).
• Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36(8), 10837-10847.
• Opricovic, S., & Tzeng, G. H. (2003). Defuzzification within a multicriteria decision model. International Journal of
• Uncertainty: Fuzziness and Knowledge-Based Systems, 11(5), 635–652. Önüt, S., & Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559.
• Qureshi, M. N., Kumar, P., & Kumar, D. (2008). 3PL evaluation and selection under a fuzzy environment: A case study. The Icfai Journal of Supply Chain Management, 5(1), 38Reilly, A., Nozick, L., Xu, N., & Jones, D. (2012). Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat.
• Transportation research part E: logistics and transportation review, 48(1), 115-131. Shieh, J. I., Wu, H. H., & Huang, K. K. (2010). A
• DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277-2 Teixeira de Almeida, A. (2007). Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & Operations Research, 34(12), 3569-3574.
• Toumazis, I., & Kwon, C. (2013). Routing hazardous materials on time-dependent networks using conditional value-at-risk. Transportation Research Part C: Emerging Technologies, 37, 73-92.
• Trépanier, M., Leroux, M. H., & de Marcellis-Warin, N. (2009). Cross-analysis of hazmat road accidents using multiple databases. Accident Analysis & Prevention, 41(6), 1192-1198.
• UNECE, United Nations Economic Commissions for Europe, http://www.unece.org/trans/danger/publi/adr/ adr_e.html, Date : 20.06.2013.
• Vijayvargiya, A., & Dey, A. K. (2010). An analytical approach for selection of a logistics provider. Management Decision, 48(3), 403-418.
• Wadhwa, V., & Ravindran, A. R. (2007). Vendor selection in outsourcing.Computers & operations research, 34(12), 3725-3737.
• Wang, T. C. (2012). The interactive trade decision-making research: An application case of novel hybrid MCDM model. Economic Modelling, 29(3), 926-935.
• Wang, Y. M., & Elhag, T. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert systems with applications, 31(2), 3093
• Wang, J., Liu, S. Y., & Zhang, J. (2005). An extension of TOPSIS for fuzzy MCDM based on vague set theory. Journal of systems science and systems engineering, 14(1), 73Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications, 32(2), 499-507.
• Xie, Y., Lu, W., Wang, W., & Quadrifoglio, L. (2012). A multimodal location and routing model for hazardous materials transportation. Journal of hazardous materials, 227, 135-141.
• Yang, T., & Hung, C. C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and computer-integrated manufacturing,23(1), 126-137.
• Yang, J., Li, F., Zhou, J., Zhang, L., Huang, L., & Bi, J. (2010). A survey on hazardous materials accidents during road transport in China from 2000 to 2008. Journal of Hazardous materials, 184(1), 647-653.
• Yücel, A., & Güneri, A. F. (2011). A weighted additive fuzzy programming approach for multi-criteria supplier selection. Expert Systems with Applications,38(5), 628162
• Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
• Zhao, L., Wang, X., & Qian, Y. (2012). Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China. Safety science, 50(4), 1049-1055.
• Zhou, Q., Huang, W., & Zhang, Y. (2011). Identifying critical success factors in emergency management using a fuzzy DEMATEL method. Safety Science,49(2), 243-252.
• Zografos, K. G., & Androutsopoulos, K. N. (2004). A heuristic algorithm for solving hazardous materials distribution problems. European Journal of Operational Research, 152(2), 507-519.
• Zografos, K. G., & Androutsopoulos, K. N. (2008). A decision support system for integrated hazardous materials routing and emergency response decisions. Transportation Research Part C: Emerging Technologies, 16(6), 684-703.