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2017 | 24 | Special Issue S3 |
Tytuł artykułu

Dry ports-seaports sustainable logistics network optimization: considering the environment constraints and the concession cooperation relationships

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In China dry ports enter into a rapid development period now, however for many Chinese dry ports, the operation faces difficulties duo to inefficient logistics networks and cooperation relationship between dry ports and seaports. Focusing on the concession cooperation mechanism of seaports and dry ports, and the environmental constraints (carbon emissions and congestion cost), a bi-objective location-allocation MILP model for the sustainable hinterland-dry ports-seaports logistics network optimization is formulated, aiming at the system logistics costs and carbon emissions to be minimized. Moreover, for the cooperation mechanism of seaports to dry ports, a parameter called cooperation cost concession coefficient is proposed for the optimization model, and a new evaluation method based on the ordered weighted averaging (OWA) operator is used to evaluate it. Then a location-allocation decision-making framework for the hinterland-dry port-seaport logistics network is proposed. The innovative aspect of the model is that it can proposes a effective and environment friendly dry ports location strategic and also give insights into the connective cooperation relationships, and cargo flows of the network. A case study involving configuration of dry ports in Henan Province is conducted, and the model is successfully applied
Słowa kluczowe
EN
Wydawca
-
Rocznik
Tom
24
Opis fizyczny
p.143-151,fig.,ref.
Twórcy
autor
  • Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China
autor
  • School of Management & Engineering, Nanjing University, Nanjing 210093, China
Bibliografia
  • 1. V. Roso, 2007. Evaluation of the dry port concept from an environmental perspective: A note. Transportation Research Part D: Transport and Environment, 12(7), 523-527.
  • 2. A. K. Ng, F. Padilha, A. A. Pallis, 2013. Institutions, bureaucratic and logistical roles of dry ports: the Brazilian experiences. Journal of Transport Geography, 27, 46-55.
  • 3. Y. H. Li, Q. L. Dong, S. W. Sun, 2015. Dry Port Development in China: Current Stm,M< m’m /atus and Future Strategic Directions. Journal of Coastal Research, 73, 641-646.
  • 4. A. Beresford, S. Pettit, Q. Xu, 2012. Williams, S. A study of dry port development in China. Maritime Economics & Logistics, 14, 73-98.
  • 5. V. Roso, J. Woxenius, K. Lumsden, 2009. The dry port concept: Connecting container seaports with the hinterland. Journal of Transport Geography,17(5), 381-398.
  • 6. T. Heaver, H. Meersman, E. Voorde, 2001. Co-operation and competition in international container transport: strategies for ports. Maritime Policy and Management, 28(3), 293-305.
  • 7. T.E. Notteboom, 2002. Consolidation and contestability in the European container handling industry. Maritime Policy and Management, 29( 3), 257-269.
  • 8. R.Robinson, 2002. Ports as elements in value-driven chain systems: the new paradigm. Maritime Policy and Management,29( 3), 241-255.
  • 9. R. Mansour, A.V.Ardavan, 2008. An Inland Port LocationAllocation Model for a Regional Intermodal Goods Movement System. Maritime Economics & Logistics,10, 362-379.
  • 10. X. J. Feng, Y. Zhang, Y. W. Li, W. Wang, 2013, A Location-Allocation Model for Seaport-Dry Port System Optimization. Discrete Dynamics in Nature and Society 1:1-8.
  • 11. D. Ambrosino, A. Sciomachen, 2014. Location of mid-range dry ports in multimodal logistic networks. Procedia-Social and Behavioral Sciences, 108:118-128.
  • 12. A. N.Samir, G. C. Nicoletta, and C. O. Alberto, 2014. Application of a Model based on the Use of DELPHI Methodology and Multicriteria Analysis for the Assessment of the Quality of the Spanish Dry Ports Location. ProcediaSocial and Behavioral Sciences 162: 42-50.
  • 13. A. N. Samir, G. C. Nicoletta, S. F. Francisco, 2015. How should the sustainability of the location of dry ports be measured? A proposed methodology using Bayesian networks and multi-criteria decision analysis. Transport 30(3):312-319.
  • 14. R. R.Yager, 1988. On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybernet,18: 183-190.
  • 15. H. R. Wei, M. Dong, S. Y. Sun, 2010. Inoperability InputOutput Modeling (IIM) of Disruptions to Supply Chain Networks. INCOSE International Journal of Systems Engineering,13(4): 324-339.
  • 16. Z. H. Hu, 2015. Heuristics for solving continuous berth allocation problem considering periodic balancing utilization of cranes.Computers & Industrial Engineering, 85:216-226.
  • 17. Z. Chang, T. Notteboom, J. Lu, 2015. A two-phase model for dry port location with an application to the port of Dalian in China. Transportation Planning and Technology, 38(4): 442-464.
  • 18. J. Wang, J.H. Ma, 2011. Applied research on the coexistence relationship between Tianjin Port and inland transportation system based on population ecology model. Wseas Transactions on Mathematics, 10(11):377-386.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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