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A conceptual model of excellent performance mode of port enterprise logistics management

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Port as one of the key hubs of international logistics, which has become the main part and the base of global logistics management. The port enterprises, plays an important role in the global supply chain. However, due to the lack of understanding in port supply chain management, coordination between the port enterprises, the integration of business process is not perfect, the lack of information sharing between various organizations, ports enterprises usually failed to fully play its positive role. Based on this, the paper makes the port enterprises as the research object, and introduces the excellent performance mode into the port enterprises. In order to study the port enterprises how to carry out effective quality management, and formation the coordination and integration of upstream and downstream of enterprises, so as to realize the competitive advantage in port logistics.
Rocznik
Tom
S 3
Strony
34--40
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
  • School of Management, Zhejiang University, China
autor
  • School of Management, Zhejiang University, China
autor
  • School of Economics & Management, Henan Institute of Science and Technology, China
  • School of E-commerce and Logistics Management, Henan University of Economics and Law, China
  • China Institute for Reform and Development Haikou 570311 China
Bibliografia
  • 1. R. Cimpeanu, M. T. Devine, & C. O’Brien, 2017. A simulation model for the management and expansion of extended port terminal operations. Transportation Research Part E: Logistics and Transportation Review, 98, 105-131.
  • 2. D. S. H. Moon, J. K. Woo, 2014. The impact of port operations on efficient ship operation from both economic and environmental perspectives. Maritime Policy & Management, 41(5), 444-461.
  • 3. H. Davarzani, B. Fahimnia, M. Bell, & J. Sarkis, 2016. Greening ports and maritime logistics: A review. Transportation Research Part D: Transport and Environment, 48, 473-487.
  • 4. N. Akbari, C. A. Irawan, D. F. Jones, & D. Menachof, 2017. A multi-criteria port suitability assessment for developments in the offshore wind industry. Renewable Energy, 102, 118-133.
  • 5. S. H. Min, H. D. Choi, E. Y. Yun, D. W. Kang, & Y. S. Kim, 2015. A Study on the Operation of Ship Supply Common Logistics in Utilizing the Busan Port International Ship Supply Center. Journal of Navigation and Port Research, 39(6), 553-559.
  • 6. G. B. B. Vieira, F. J. Kliemann Neto, & F. G. Amaral, 2014. Governance, governance models and port performance: A systematic review. Transport Reviews, 34(5), 645-662.
  • 7. J. J. Liu, Z. Wang, D. Q. Yao, & X. Yue, 2016. Transaction cost analysis of supply chain logistics services: firm-based versus port-focal. Journal of the Operational Research Society, 67(2), 176-186.
  • 8. W. U. Jianni, 2013. Research on Index System of Port Logistics Industry Cluster Competitiveness Based on Entropy Weight Method. Science and Technology Management Research, 6, 45-49.
  • 9. T. Li, , L. Liang, 2016. Study on the Coupling Relationship between the Modern Port Logistics and Port-Vicinity Industry Agglomeration A Case Study of Dalian Port. International Journal of u-and e-Service, Science and Technology, 9(10), 131-142.
  • 10. J. Havenga, Z. Simpson, L. Goedhals-Gerber, 2017. International trade logistics costs in South Africa: Informing the port reform agenda. Research in Transportation Business & Management, 22, 263-275.
  • 11. F. Caselli, M. Reyes, M. Beale, Y. Akakura, & K. Ono, 2016. Methodology and procedure of business impact analysis for improving port logistics business continuity management. IDRiM Journal, 6(1), 1-29.
  • 12. L. M. Ascencio, R. G. González-Ramírez, L. A. Bearzotti, N. R. Smith, & J. F. Camacho-Vallejo, 2014. A collaborative supply chain management system for a maritime port logistics chain. Journal of applied research and technology, 12(3), 444-458.
  • 13. J. Wang, B. Zhu, Y. Wang, & L. Huang, 2016. Mining organizational behaviors in collaborative logistics chain: An empirical study in a port. In Logistics, Informatics and Service Sciences (LISS), 2016 International Conference on . IEEE, 1-5
  • 14. R. Robinson, 2002. Ports as elements in value-driven chain systems: The new paradigm. Maritime Policy and Management, 29(3): 241-255.
  • 15. V. Carbone, M. De Martino, 2003. The changing role of ports in supply chain management: an empirical analysis. Maritime Policy and Management, 30(4): 305-320.
  • 16. P. M. Panayides, D.W. Song, 2008. Evaluating the integration of seaport container terminals in supply chains, International Journal of Physical Distribution & Logistics Management, 38(7): 562-584.
  • 17. J.P. Rodrigue, T. Notteboom, 2009. The terminalization of supply chains: reassessing the role of terminals in port/ hinterland logistical relationships. Maritime Policy & Management, 36(2): 165-183.
  • 18. H. Chen, Y. Chen, 2016. The Performance Appraisal of Port Logistics Informationization. In International Conference on Internet and Distributed Computing Systems. Springer International Publishing., 9,413-420
  • 19. M. Dooms, F. Parola, 2016. Port Management Studies. The Asian Journal of Shipping and Logistics, 32(1), 001-002.
  • 20. C. Expósito-Izquiero, E. Lalla-Ruiz, T. Lamata, B. MeliánBatista, & J. M. Moreno-Vega, 2016. Fuzzy optimization models for seaside port logistics: berthing and quay crane scheduling. In Computational Intelligence. Springer International Publishing, 323-343.
  • 21. R. A. Sutrisnowati, H. Bae, M. Song, 2015. Bayesian network construction from event log for lateness analysis in port logistics. Computers & Industrial Engineering, 89, 53-66.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bd3daeab-fd5f-4dc7-b606-36366d4b6a27
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