Abstract
In modern logistics, port transportation plays an important role in the development of the surrounding economy. However, to determine the level of port group competitiveness, regional ports must be classified. To realize this classification, this paper introduces a novel multiple criteria sorting method, ORESTE-SORT, together with its main characteristics and properties. This approach can help in handling three types of preference relationships among alternatives and profiles: preference, indifference, and incomparability. In addition, a novel sorting rule, the assignment rule driven by attitudes (ARDA), is introduced to allocate alternatives to predefined categories based on the generalization of two classical sorting rules: optimistic and pessimistic rules. We also perform a case study to illustrate the suitability of the proposed sorting method for sorting port group competitiveness. Finally, sensitivity analysis and comparative analysis are performed with the ELECTRE-SORT method to determine the effectiveness of ORESTE-SORT, following which the capability of this new sorting methodology is further discussed.
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References
Adolf, K. Y., & Ng,. (2006). Assessing the Attractiveness of Ports in the North European Container Transhipment Market: An Agenda for Future Research in Port Competition. Maritime Economics and Logistics, 8(3), 234–250. https://doi.org/10.1057/palgrave.mel.9100158
Adolf, K. Y., & Ng,. (2009). Competitiveness of short sea shipping and the role of port: The case of North Europe. Maritime Policy & Management, 36(4), 337–352. https://doi.org/10.1080/03088830903056983
Almeidadias, J., Figueira, J. R., & Roy, B. (2010). Electre Tri-C: A multiple criteria sorting method based on characteristic reference actions. European Journal of Operational Research, 204(3), 565–580. https://doi.org/10.1016/j.ejor.2009.10.018
Almeidadias, J., Figueira, J. R., & Roy, B. (2012). A multiple criteria sorting method where each category is characterized by several reference actions: The Electre Tri-nC method. European Journal of Operational Research, 217(3), 567–579. https://doi.org/10.1016/j.ejor.2011.09.047
Alvarez, P. A., Ishizaka, A., & Martínez, L. (2021). Multiple-criteria decision-making sorting methods: A survey. Expert Systems with Applications, 183(3), 115368. https://doi.org/10.1016/j.eswa.2021.115368
Andrews, D. A., & Bonta, J. (2010). Rehabilitating criminal justice policy and practice. Psychology, Public Policy and Law, 16(1), 39–55. https://doi.org/10.1037/a0018362
Araz, C., & Ozkarahan, I. (2007). Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure. International Journal of Production Economics, 106(2), 585–606. https://doi.org/10.1016/j.ijpe.2006.08.008
Bourguignon, B., & Massart, D. L. (1994). The Oreste method for multicriteria decision making in experimental chemistry. Chemometrics and Intelligent Laboratory Systems, 22(2), 241–256. https://doi.org/10.1016/0169-7439(93)E0083-G
Cabral, A. M., & Ramos, F. D. (2014). Cluster analysis of the competitiveness of container ports in Brazil. Transportation Research Part A-Policy and Practice, 69, 423–431. https://doi.org/10.1016/j.tra.2014.09.005
Cai, F. L., Liao, X., & Wang, K. L. (2012). An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities. Annals of Operations Research, 197, 87–108. https://doi.org/10.1007/s10479-011-0930-3
Castillomanzano, J. I., Castronuno, M., Laxe, F. G., Lopezvalpuesta, L., & Arevaloquijada, M. T. (2009). Low-cost port competitiveness index: Implementation in the Spanish port system. Marine Policy, 33(4), 591–598. https://doi.org/10.1016/j.marpol.2008.12.008
Chen, L., Zhang, D., Ma, X., Wang, L., Li, S., Wu, Z., & Pan, G. (2016). Container Port Performance Measurement and Comparison Leveraging Ship GPS Traces and Maritime Open Data. IEEE Transactions on Intelligent Transportation Systems, 17(5), 1227–1242. https://doi.org/10.1109/TITS.2015.2498409
Corrente, S., Doumpos, M., Greco, S., Slowiński, R., & Zopounidis, C. (2017). Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions. Annals of Operations Research, 251(1–2), 1–23. https://doi.org/10.1007/s10479-015-1898-1
Cruz, M. R., & Ferreira, J. J. (2016). Evaluating Iberian seaport competitiveness using an alternative DEA approach. European Transport Research Review, 8(1), 1–9. https://doi.org/10.1007/s12544-015-0187-z
Demir, L., Akpinar, M. E., Araz, C., & Ilgin, M. A. (2018). A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT. Expert Systems with Applications, 114, 479–487. https://doi.org/10.1016/j.eswa.2018.07.071
Doumpos, M., & Zopounidis, C. (2004a). A multicriteria classification approach based on pairwise comparisons. European Journal of Operational Research, 158(2), 378–389. https://doi.org/10.1016/j.ejor.2003.06.011
Doumpos, M., & Zopounidis, C. (2004b). Developing sorting models using preference disaggregation analysis: An experimental investigation. European Journal of Operational Research, 154(3), 585–598. https://doi.org/10.1016/S0377-2217(02)00815-9
Dyer, J. S. (1990). Remarks on the Analytic Hierarchy Process. Management Science, 36(3), 249–258. https://doi.org/10.1287/mnsc.36.3.249
Fernández, E., Figueira, J. R., & Navarro, J. (2019). An interval extension of the outranking approach and its application to multiple-criteria ordinal classification. Omega, 84, 189–198. https://doi.org/10.1016/j.omega.2018.05.003
Fernández, E., Figueira, J. R., Navarro, J., & Roy, B. (2017). ELECTRE TRI-nB: A new multiple criteria ordinal sorting method. European Journal of Operational Research, 263(1), 214–224. https://doi.org/10.1016/j.ejor.2017.04.048
Figueira, J. R., Greco, S., & Slowinski, R. (2009). Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European Journal of Operational Research, 195(2), 460–486. https://doi.org/10.1016/j.ejor.2008.02.006
Greco, S., Mousseau, V., & Slowinski, R. (2010). Multiple criteria sorting with a set of additive value functions. European Journal of Operational Research, 207(3), 1455–1470. https://doi.org/10.1016/j.ejor.2010.05.021
Ha, M., Yang, Z., Notteboom, T., Ng, A. K., & Heo, M. (2017). Revisiting port performance measurement: A hybrid multi-stakeholder framework for the modelling of port performance indicators. Transportation Research Part E-Logistics and Transportation Review, 103, 1–16. https://doi.org/10.1016/j.tre.2017.04.008
Hales, D. N., Lam, J. S., & Chang, Y. (2016). The Balanced Theory of Port Competitiveness. Transportation Journal, 55(2), 168–189. https://doi.org/10.5325/transportationj.55.2.0168
Huang, W. C., Teng, J. Y., Huang, M. J., & Kou, M. S. (2003). Port competitiveness evaluation by fuzzy multicriteria grade sorting. Journal of Marine Science and Technology, 11(1), 53–60. https://doi.org/10.6119/JMST
Ishizaka, A., & Gordon, M. (2017). MACBETHSort: A multiple criteria decision aid procedure for sorting strategic products. Journal of the O Perational Research Society, 68(1), 53–61. https://doi.org/10.1057/s41274-016-0002-9
Ishizaka, A., Lolli, F., Balugani, E., Cavallieri, R., & Gamberini, R. (2018). DEASort: Assigning items with data envelopment analysis in ABC classes. International Journal of Production Economics, 199, 7–15. https://doi.org/10.1016/j.ijpe.2018.02.007
Ishizaka, A., & Nemery, P. (2014). Assigning machines to incomparable maintenance strategies with ELECTRE-SORT. Omega-International Journal of Management Science, 47, 45–59. https://doi.org/10.1016/j.omega.2014.03.006
Ishizaka, A., Pearman, C., & Nemery, P. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research, 50(17), 4767–4784. https://doi.org/10.1080/00207543.2012.657966
Ishizaka, A., & Pereira, V. (2020). Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context. Soft Computing, 24, 13639–13650. https://doi.org/10.1007/s00500-019-04405-5
Ishizaka, A., Pereira, V., & Siraj, S. (2021). AHPSort-GAIA: A visualisation tool for the sorting of alternative in AHP portrayed through a case in the food and drink industry. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04082-4
Ishizaka, A., Tasiou, M., & Martínez, L. (2020). Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems. Journal of the Operational Research Society, 71(6), 928–947. https://doi.org/10.1080/01605682.2019.1595188
Kadziński, M., & Tervonen, T. (2013). Stochastic ordinal regression for multiple criteria sorting problems. Decision Support Systems, 55(1), 55–66. https://doi.org/10.1016/j.dss.2012.12.030
Leeneer, D. I., & Pastijn, H. (2002). Selecting land mine detection strategies by means of outranking MCDM techniques. European Journal of Operational Research, 139(2), 327–338. https://doi.org/10.1016/S0377-2217(01)00372-1
Liao, H. C., Wu, X. L., Liang, X. D., Xu, J. P., & Herrera, F. (2018a). A new hesitant fuzzy linguistic ORESTE method for hybrid multicriteria decision making. IEEE Transactions on Fuzzy Systems, 26(6), 3793–3807. https://doi.org/10.1109/TFUZZ.2018.2849368
Liao, H. C., Wu, X. L., Liang, X. D., Yang, J. B., Xu, D. L., & Herrera, F. (2018b). A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowledge-Based Systems, 153, 65–77. https://doi.org/10.1016/j.knosys.2018.04.022
Lirn, T., Thanopoulou, H., & Beresford, A. K. (2003). Transhipment Port Selection and Decision-making Behaviour: Analysing the Taiwanese Case. International Journal of Logistics-Research and Applications, 6(4), 229–244. https://doi.org/10.1080/13675560310001626990
Liu, J., Liao, X., & Yang, J. (2015). A group decision-making approach based on evidential reasoning for multiple criteria sorting problem with uncertainty. European Journal of Operational Research, 246(3), 858–873. https://doi.org/10.1016/j.ejor.2015.05.027
Lolli, F., Ishizaka, A., Gamberini, R., Rimini, B., & Messori, M. (2015). FlowSort-GDSS - A novel group multi-criteria decision support system for sorting problems with application to FMEA. Expert Systems with Applications, 42(17), 6342–6349. https://doi.org/10.1016/j.eswa.2015.04.028
Luo, S. Z., Liang, W. Z., & Zhao, G. Y. (2020). Likelihood-based hybrid ORESTE method for evaluating the thermal comfort in underground mines. Applied Soft Computing, 87, 105983. https://doi.org/10.1016/j.asoc.2019.105983
Marichal, J., Meyer, P., & Roubens, M. (2005). Sorting multi-attribute alternatives: The TOMASO method. Computers & Operations Research, 32(4), 861–877. https://doi.org/10.1016/j.cor.2003.09.002
Min, H., & Park, B.-I. (2020). A two-dimensional approach to assessing the impact of port selection factors on port competitiveness using the Kano model. Maritime Economics & Logistics, 22(3), 353–382. https://doi.org/10.1057/s41278-019-00117-7
Mousseau, V., Özpeynirci, O., & Özpeynirci, S. (2018). Inverse multiple criteria sorting problem. Annals of Operations Research, 267(1), 379–412. https://doi.org/10.1007/s10479-017-2420-8
Pastijn, H., & Leysen, J. (1989). Constructing an outranking relation with ORESTE. Mathematical & Computer Modelling, 12, 1255–1268. https://doi.org/10.1016/0895-7177(89)90367-1
Pelissari, R., De Oliveira, M. C., Amor, S. B., & Abackerli, A. J. (2019). A new FlowSort-based method to deal with information imperfections in sorting decision-making problems. European Journal of Operational Research, 276(1), 235–246. https://doi.org/10.1016/j.ejor.2019.01.006
Peng, P., Yang, Y., Lu, F., Cheng, S., Mou, N., & Yang, R. (2018). Modelling the competitiveness of the ports along the Maritime Silk Road with big data. Transportation Research Part A-Policy and Practice, 118, 852–867. https://doi.org/10.1016/j.tra.2018.10.041
Ren, J., Dong, L., & Sun, L. (2018). Competitiveness prioritisation of container ports in Asia under the background of China’s Belt and Road initiative. Transport Reviews, 38(4), 436–456. https://doi.org/10.1080/01441647.2018.1451407
Roubens, M. (1982). Preference relations on actions and criteria in multicriteria decision making. European Journal of Operational Research, 10(1), 51–55. https://doi.org/10.1016/0377-2217(82)90131-X
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Tervonen, T., Figueira, J. R., Lahdelma, R., Dias, J. A., & Salminen, P. (2009). A stochastic method for robustness analysis in sorting problems. European Journal of Operational Research, 192(1), 236–242. https://doi.org/10.1016/j.ejor.2007.09.008
Tongzon, J. L., & Heng, W. (2005). Port Privatization, Efficiency and Competitiveness: Some Empirical Evidence from Container Ports (Terminals). Transportation Research Part A-Policy and Practice, 39(5), 405–424. https://doi.org/10.1016/j.tra.2005.02.001
Tovar, B., Hernandez, R., & Rodriguezdeniz, H. (2015). Container port competitiveness and connectivity: The Canary Islands main ports case. Transport Policy, 38, 40–51. https://doi.org/10.1016/j.tranpol.2014.11.001
Vetschera, R. (2017). Deriving rankings from incomplete preference information: A comparison of different approaches. European Journal of Operational Research, 258(1), 244–253. https://doi.org/10.1016/j.ejor.2016.08.031
Wu, Y. J., & Lin, C. (2008). National port competitiveness: Implications for India. Management Decision, 46(10), 1482–1507. https://doi.org/10.1108/00251740810920001
Yeo, G., Roe, M., & Dinwoodie, J. (2008). Evaluating the competitiveness of container ports in Korea and China. Transportation Research Part A-Policy and Practice, 42(6), 910–921. https://doi.org/10.1016/j.tra.2008.01.014
Yeo, G., Roe, M., & Dinwoodie, J. (2011). Measuring the competitiveness of container ports: Logisticians’ perspectives. European Journal of Marketing, 45(3), 455–470. https://doi.org/10.1108/03090561111107276
Yeo, G., & Song, D. (2006). An application of the hierarchical fuzzy process to container port competition: Policy and strategic implications. Transportation, 33(4), 409–422. https://doi.org/10.1007/s11116-005-6000-4
Yuen, C. A., Zhang, A., & Cheung, W. (2012). Port competitiveness from the users’ perspective: An analysis of major container ports in China and its neighboring countries. Research in Transportation Economics, 35(1), 34–40. https://doi.org/10.1016/j.retrec.2011.11.005
Acknowledgements
The work was supported by the National Natural Science Foundation of China (NSFC) under Project 71701158 and 72071151, MOE (Ministry of Education in China) Project of Humanities and Social Sciences (17YJC630114), Spanish National research project PGC2018-099402-B-I00.
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Qin, J., Liang, Y., Martinez, L. et al. ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness. Ann Oper Res 325, 875–909 (2023). https://doi.org/10.1007/s10479-022-04991-y
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DOI: https://doi.org/10.1007/s10479-022-04991-y