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2017 | 24 | Special Issue S3 |
Tytuł artykułu

Risk of the maritime supply chain system based on interpretative structural model

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Marine transportation is the most important transport mode of in the international trade, but the maritime supply chain is facing with many risks. At present, most of the researches on the risk of the maritime supply chain focus on the risk identification and risk management, and barely carry on the quantitative analysis of the logical structure of each influencing factor. This paper uses the interpretative structure model to analysis the maritime supply chain risk system. On the basis of comprehensive literature analysis and expert opinion, this paper puts forward 16 factors of maritime supply chain risk system. Using the interpretative structure model to construct maritime supply chain risk system, and then optimize the model. The model analyzes the structure of the maritime supply chain risk system and its forming process, and provides a scientific basis for the controlling the maritime supply chain risk, and puts forward some corresponding suggestions for the prevention and control the maritime supply chain risk
Słowa kluczowe
Wydawca
-
Rocznik
Tom
24
Opis fizyczny
p.28-33,fig.,ref.
Twórcy
autor
  • School of Management, Zhejiang University, China
autor
autor
  • School of Economics and 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. H., Carvalho, A. P. Barroso, V. H.Machado, S. Azevedo, & Cruz-Machado, 2012. Supply chain redesign for resilience using simulation. Computers & Industrial Engineering, 62(1), 329-341.
  • 2. J. Lam, J. Dai, 2015. Developing supply chain security design of logistics service providers: an analytical network process-quality function deployment approach. Int. J. Phys. Distrib. Logistics Manage. 45 (No. 7), 674–690.
  • 3. Y. C Yang, 2011. Risk management of Taiwan’s maritime supply chain security. Safety science, 49(3): 382-393.
  • 4. J. S. L. Lam, 2011. Patterns of maritime supply chains: slot capacity analysis. Journal of Transport Geography, 19(2): 366-374.5. R. Banomyong*, 2005, The impact of port and trade security initiatives on maritime supply-chain management. Maritime Policy & Management, 32(1): 3-13.
  • 6. P. Barnes, R. Oloruntoba, Assurance of security in maritime supply chains: Conceptual issues of vulnerability and crisis management. Journal of International Management, 11(4): 519-540.
  • 7. A. Mandal, S. G. Deshmukh, 1994. Vendor selection using interpretive structural modeling (ISM). International Journal of Operations & Production Management, 14(6): 52-59.
  • 8. T. Minahan, 2005. The Supply Risk Benchmark Report. Aberdeen Group, Boston.
  • 9. V. Singhal, K. Hendricks, R. Zhang, 2009. The effect of operational slack diversification, and vertical relatedness on the stock market reaction to supply chain disruptions. J. Oper. Manag. 27 (3), 233–246.
  • 10. F. Wiengarten, P. Humphreys, C. Gimenez, R. McIvor, 2016. Risk, risk management practices, and the success of supply chain integration. Int. J. Prod.Econ. 171 (3), 361–370.
  • 11. J. S. L .Lam, 2015. Designing a sustainable maritime supply chain: a hybrid QFD-ANP approach. Transp. Res. Part E 78, 70–81.
  • 12. M. Christopher, H. Peck, C. Rutherford, U. Juttner, 2003. Supply chain resilience. Cranfield Centre for Logistics & Supply Chain Management, November, appendix, 1.
  • 13. C. H. Chang, J. J. Xu, D. P. Song, 2014. An analysis of safety and security risks in container shipping operations: a case study of Taiwan. Saf. Sci. 63 (3), 168–178
  • 14. J. P. P. Vilko, J. M. Hallikas, 2012. Risk assessment in multimodal supply chains. Int. J. Prod. Econ. 140, 586–595.
  • 15. S. Gurning, S. Cahoon, 2011. Analysis of multi-mitigation scenarios on maritime disruptions. Marit. Pol. Manage. 38 (3), 251–268.
  • 16. UNCTAD, 2006. Maritime Security: Elements of an Analytical Framework for Compliance Measurement and Risk Assessment. Reported by UNCTAD, 1-10.
  • 17. U. Juttner, H. Peck, M. Christopher, 2003. Supply chain risk management: outlining an agenda for future research. Int. J. Logist.: Res. Appl. 6 (4), 197–210.
  • 18. J. S. L .Lam, 2015. Designing a sustainable maritime supply chain: a hybrid QFD-ANP approach. Transp. Res. Part E 78, 70–81.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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