Facilitating uncertainty treatment in the risk assessment of container supply chains

Proceedings of the Institute of Marine Engineering, Science and Technology Part A: Journal of Marine Engineering and Technology

Volumn , Issue 17, 2010, Pages 23-36

  Yang, Z L ^a   Bonsall, S ^a   Wang, J ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKERS; DECISION SUPPORT TOOLS; ECONOMIC PROSPERITY; FUZZY EVIDENTIAL REASONING; INTERNATIONAL RECOGNITION; MODELLING METHOD; PORT SECURITY; RISK INFORMATION; SECURITY ESTIMATION; SECURITY POLICY; TERRORISM ATTACK; TERRORIST ATTACKS; TRANSPARENT TOOLS; TRANSPORT SYSTEMS; UNCERTAINTY TREATMENT;

BAYESIAN NETWORKS; CONTAINERS; DECISION SUPPORT SYSTEMS; INFERENCE ENGINES; RATING; SECURITY SYSTEMS; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS; TERRORISM;

RISK ASSESSMENT;

EID: 78649861680     PISSN: 14761548     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (69)

1. Bruk IV and El'Yanov VD. (1975). Performance Study of Loose-linked Automatic Lines, Machines and Tolling, Vol 46, No 4, pp50-53.
2. Drucker PF. (1990). The Emerging Theory of Manufacturing, Harvard Business Review, Vol 68, No 3, pp94-102.
3. Hammer H. (1992). The Economics of Flexible Manufacturing Systems Contingent upon Operating and Service Personnel, European Production Engineering, Vol 16, No 3, pp38-41.
4. Hay EJ. (1987). Any Machine Setup Time Can Be Reduced by 75 Per cent, Industrial Engineering, August, pp62-66.
5. Cheng TCE. (1990). A State-of-the-art Review of Just-in-time Production, Advanced Manufacturing Engineering, Vol 2, No 2, pp90-102.
6. Imai M. (1990). Kaizen Wave Circles the Globe, Tokyo Business Today, May.
7. Sugimori Y, Kusunoki K, Cho F and Uchikawa S. (1977). Toyota Production System and Kanban System: Materialization of Just-in-time and Respect-for-human System, International Journal of Production Research, Vol 15, No 6, pp553-564.
8. Monden Y. (1994). Tokyo Production System: An Integrated Approach to Just-In-Time, (2nd Ed), Institute of Industrial Engineers, Chapman and Hall, London, UK.
9. Ohno T. (1988). Toyota Production System: Beyond Large Scale Production, Productivity Press, MA, USA.
10. Carr CH and Truesdale TA. (1992). Lessons from Nissan's British Suppliers, International Journal of Operations and Production Management, Vol 12, No 2, pp49-57
11. Nakajima S. (1989). TPM Development Program: Implementing Total Productive Maintenance, Productivity Press, MA, USA. v.
12. Shingo S. (1985). A Revolution in Manufacturing: the SMED System, Productivity Press, MA, USA.
13. Bailou RH. (1987). Basic Business Logistics, Prentice-Hall International, Englewood Cliffs, NJ, USA.
14. Johnson JC and Wood DF. (1993). Contemporary Logistics, Macmillan Publishing Co, NY, USA.
15. Coyle JJ, Bardi EJ and Langley CJ. (1996). The Management of Business Logistics, West Publishing Co, MN, USA.
16. Ganesan S. (1994). Determinants of Long-term Orientation in Buyer-seller Relationships, Journal of Marketing, Vol 58, No 2, ppl-19.
17. Frankel EG. (1988). Systems Reliability and Risk Analysis, Kluwer Academic Publishers, NY, USA.
18. Evans JR. (1993). Applied Production and Operations Management, West Publishing Co, MN, USA.
19. Thomas MU. (2002). Supply Chain Reliability for Contingency Operations, Annual Reliability and Maintainability Symposium, pp61-67.
20. Sifder SP and Smeltzer LR. (1997). Risk Assessment in the Supply Chain, Annual Meeting of the Decision Science Institute, Vol 3, Pt 3, ppl476.
21. Narahari Y, Viswanadham N and Bhattacharya R. (2000). Design of Synchronized Supply Chains: A Six Sigma Tolerancing Approach, Proceedings - IEEE International Conference on Robotics and Automation, ppll51-1156.
22. Garg D, Narahari Y and Viswanadham N. (2003). Design of Six Sigma Supply Chains, Proceedings - IEEE International Conference on Robotics and Automation, ppl737-1742.
23. Pai RR, Kallepalli VR, Caudill RJ and Zhou MC. (2003). Methods towards Supply Chain Risk Analysis, System Security and Assurance, Vol 5, pp4560-4565.
24. Svensson G. (2000). A Conceptual Framework for the Analysis of Vulnerability in Supply Chains, International Journal of Physical Distribution and Logistics Management, Vol 30, No 9, pp731-749.
25. Svensson G. (2002). A Conceptual Framework of Vulnerability in Firms' Inbound and Outbound Logistics Flows, International Journal of Physical Distribution and Logistics Management, Vol 32, No 2, pp110-134.
26. Chapman P, Christopher M, Jiittner U, Peck H and Wilding R. (2002). Identifying and Managing Supply-Chain Vulnerability, Logistics & Transport Focus, Vol 4, No 4, ppl7.
27. Peck H and Jüttner U. (2002). Risk Management in Supply-Chain, Logistics & Transport Focus, Vol 4, No 10, pp 17-22.
28. USA (2002). Maritime Transportation Security Act, http://www.tsa.gov/ assets/pdf/MTSA.pdf, accessed on 8 May 2009.
29. IMO (2003). International Ship and Port Facility Security (ISPS) Code, International Maritime Organization, UK.
30. Canada (2003). Security & Emergency Preparedness, Marine Transportation Regulations, Government of Canada, Canada.
31. European Parliament (2004). Regulation (EC) No 72512004 on enhancing ship and port facility security, EU Official Journal L129, pp0006-0091.
32. King J. (2005). The security of merchant shipping, Marine Policy, Vol 29, pp235-245.
33. Fernere D, Pysareva K and Pucinski A. (2005). Using technology to bridge maritime security gaps - identifying marine transportation vulnerabilities and countermeasures, Sea Technology, Vol 46, pp53-59.
34. Raymond ZR. (2006). Maritime terrorism in Southeast Asia: A risk assessment, Terrorism and Political Violence, Vol 18, pp239-257.
35. Rosenberg D and Chung C. (2008). Maritime security in the South China sea: coordinating coastal and user state priorities, Ocean Development & International Law, Vol 39, pp51-68.
36. Urbanski J, Morgas W and Kopacz Z. (2008). The safety and security systems of maritime navigation, The Journal of Navigation, Vol 61, pp529-535.
37. Zadeh LA. (1965). Fuzzy Sets, Information and Control, Vol 8, No 3, pp338-353.
38. Dempster AP. (1968). A Generation of Bayesian Inference, Journal of the Royal Statistical Society-Series B, Vol 13, pp205-247.
39. Shafer G. (1976). A Mathematical Theory of Evidence, Princeton University press, Princeton, NJ, USA.
40. Wang J, Yang JB and Sen P. (1995). Safety Analysis and Synthesis using Fuzzy Set Modelling and Evidential Reasoning, Reliability Engineering & System Safety, Vol 47, No 3, pp 103-118.
41. Sü HS, Wang J and Ruxton T. (2001 ). A Fuzzy-logicbased Approach to Qualitative Safety Modelling for Marine System, Engineering Reliability & System Safety, Vol 73, No l,pp 19-34.
42. Liu J, Yang JB, Wang J and Sii HS. (2005). Engineering System Safety Analysis and Synthesis using the Fuzzy Rule-based Evidential Reasoning Approach, Quality and Reliability Engineering International, Vol 21, No 4, pp387-411.
43. Yang JB and Singh M. (1994). An Evidential Reasoning Approach for Multiple Attribute Decision Making with Uncertainty, IEEE Transaction on Systems, Man and Cybernetics, Vol 24, No 1, ppl-18.
44. Yang JB and Xu DL. (2002). On the Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis under Uncertainty, IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, Vol 32, No 3, pp289-304.
45. Jensen FV. (2001). Bayesian Network and Decision Graphs, Springer-Verlag, NY, USA.
46. Boudali H and Dugan JB. (2005). A Discrete-time Bayesian Network Reliability Modelling and Analysis Framework, Reliability Engineering & System Safety, Vol 87, No 3, pp337-349.
47. Cagno E, Caron M, Mancini M and Ruggeri F. (2000). Using AHP in Determining the Prior Distributions on Gas Pipeline Failures in a Robust Bayesian Approach, Reliability Engineering & System Safety, Vol 67, No 3, pp275-284.
48. Mahadevan S and Rebba R. (2005). Validation of Reliability Computational Models Using Bayes Nehvorks, Reliability Engineering & System Safety, Vol 87, pp223-232.
49. Lee CJ and Lee KJ. (2006). Application of Bayesian Network to the Probabilistic Risk Assessment of Nuclear Waste Disposal, Reliability Engineering & System Safety, Vol 91, No 5, pp515-532.
50. Cavinato JL. (1992). A Total Cost/value Model for Supply Chain Competitiveness, Journal of Business Logistics, Vol 13, No 2, pp285-301.
51. CLSCM (2003). Creating Resilience Supply Chains: A Practical Guide, Cranfield University Press, Bedford, UK
52. Christopher M and Lee H. (2004). Mitigating Supply Chain Risk through Improved Confidence, International Journal of Physical Distribution and Logistics Management, Vol 34, No 5, pp388-398.
53. Timmerman P. (1981). Vulnerability, Resilience and the Collapse of Society, Institute of Environmental Studies, University of Toronto, Toronto, Canada.
54. Weichselgartner J. (2001). Disaster Mitigation: the Concept of Vulnerability Revisited, Disaster Prevention and Management, Vol 10, No 2, pp85-94.
55. Yang Z, Bonsall S, Wang J, Fang QG and Yang JB. (2005). Subjective risk assessment of container supply chains, International Journal of Automation and Computing, Vol 2, No l,pp20-28.
56. Burns HT, Cordire P and Eriksson T. (2003). Security Risk Assessment and Control, Perpetuity Press Ltd, Leicester, UK.
57. Shrinath LS. (1991). Reliability Engineering, Affiliated East-West Press Private Limited, New Delhi, India.
58. Vaidya OS and Kumar S. (2003). Dependency and its Predictions for Systems and its Components, International Journal of Quality & Reliability Management, Vol 20, No 9, ppl096-1116.
59. Zimmermann HJ. (1991). Fuzzy Set Theory and its Application, Norwell, MA, Kluwer.
60. Yang ZL, Bonsall S and Wang J. (2009a). Use of Fuzzy Evidential Reasoning in Maritime Security Assessment, Risk Analysis, Vol 29, No 1, pp95-120.
61. Willhelm MR and Parsaei HR. (1991). A Fuzzy Linguistic Approach to Implementing A Strategy for Computer Integrated Manufacturing, Fuzzy Sets and Systems, Vol 42, No 2, ppl91-204.
62. Liu J, Yang JB, Ruan D, Martinez L and Wang J. (2008). Self-tuning of fuzzy belief rule bases for engineering system safety analysis, Annals of Operations Research, Vol 163, No l,ppl43-168.
63. Mizumoto M. ( 1995). Improvement of Fuzzy Control Methods, In: Fuzzy Logic and Intelligent Systems, Li H and Gupta M. (Eds.) Kluwer Academic Publishers, ppl-16.
64. Yang ZL, Bonsall S and Wang J. (2008). Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA, IEEE Transactions on Reliability, Vol 57, pp517-528.
65. Bott TF and Eisenhawer SW. (2002). Risk analysis using a hybrid Bayesian-approximation methodology, In: Proceedings of Annual Reliability and Maintenance Symposium, Jan 28-31, Seattle, USA, ppl27-133.
66. Eleye-Datubo AG, Wall A and Wang J. (2008). Marine and Offshore Safety Assessment by Incorporative Risk Modelling in a Fuzzy-Bayesian Network of an Induced Mass Assignment Paradigm, Risk Analysis, Vol 28, No 1, pp95-112.
67. Huang HZ, Zuo MJ and Sun ZQ. (2006). Bayesian reliability analysis for fuzzy lifetime data, Fuzzy Sets and Systems, Vol 157, No 12, ppl674-1686.
68. Yang ZL, Bonsall S and Wang J. (2009b). Use of hybrid multiple uncertain attribute decision making techniques in safety management, Expert System with Applications, Vol 36, ppl569-1586.
69. Satty TL. (1980). The Analytic Hierarchy Process, University of Pittsburgh, USA.