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High-value transportation disruption risk management: Shipment insurance with declared value

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  • Wang, Haijun
  • Tan, Jie
  • Guo, Shuojia
  • Wang, Shenhao

Abstract

Shipment insurance has been widely used in express logistics and airline transportation. If a customer purchases a shipment insurance service and a disruption occurs, he could be compensated based on the declared value. This paper studies two contracts and investigates how shipment insurance premium affects the ex ante declared value and the ex post compensation. The customer purchases shipment insurance only when the cargo value is relatively high and his declared value does not exceed the actual cargo value. The optimal insurance premiums for both contracts and contract preference are obtained. Finally, we investigate the impact of effort towards transport process improvement.

Suggested Citation

  • Wang, Haijun & Tan, Jie & Guo, Shuojia & Wang, Shenhao, 2018. "High-value transportation disruption risk management: Shipment insurance with declared value," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 293-310.
    • Handle: RePEc:eee:transe:v:109:y:2018:i:c:p:293-310
    DOI: 10.1016/j.tre.2017.11.013
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    1. Yigal Gerchak & J. David Fuller, 1992. "Optimal Value Declaration in "Buy-Sell" Situations," Management Science, INFORMS, vol. 38(1), pages 48-56, January.
    2. Robert Swinney, 2011. "Selling to Strategic Consumers When Product Value Is Uncertain: The Value of Matching Supply and Demand," Management Science, INFORMS, vol. 57(10), pages 1737-1751, October.
    3. Vedat Verter & Erhan Erkut, 1997. "Incorporating Insurance Costs in Hazardous Materials Routing Models," Transportation Science, INFORMS, vol. 31(3), pages 227-236, August.
    4. von Lanzenauer, Christoph Haehling & Wright, Don D., 1991. "Operational research and insurance," European Journal of Operational Research, Elsevier, vol. 55(1), pages 1-13, November.
    5. Wilson, Martha C., 2007. "The impact of transportation disruptions on supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 295-320, July.
    6. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    7. Haan, Marco A. & Heijnen, Pim & Schoonbeek, Lambert & Toolsema, Linda A., 2012. "Sound taxation? On the use of self-declared value," European Economic Review, Elsevier, vol. 56(2), pages 205-215.
    8. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    9. Watt, Richard & Vázquez, Francisco J., 2017. "An analysis of insurance demand in the newsboy problem," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1064-1072.
    10. Markowitz, Harry, 2014. "Mean–variance approximations to expected utility," European Journal of Operational Research, Elsevier, vol. 234(2), pages 346-355.
    11. Martin A. Lariviere, 2006. "A Note on Probability Distributions with Increasing Generalized Failure Rates," Operations Research, INFORMS, vol. 54(3), pages 602-604, June.
    12. Guillermo Gallego & Ruxian Wang & Ming Hu & Julie Ward & Jose Luis Beltran, 2015. "No Claim? Your Gain: Design of Residual Value Extended Warranties Under Risk Aversion and Strategic Claim Behavior," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 87-100, February.
    13. Wolanski, Adrian, 2017. "The role of insurance in international shipping costs," Economics Letters, Elsevier, vol. 155(C), pages 116-120.
    14. Xie, Gang & Yue, Wuyi & Wang, Shouyang & Lai, Kin Keung, 2011. "Quality investment and price decision in a risk-averse supply chain," European Journal of Operational Research, Elsevier, vol. 214(2), pages 403-410, October.
    15. Anand Paul, 2005. "A Note on Closure Properties of Failure Rate Distributions," Operations Research, INFORMS, vol. 53(4), pages 733-734, August.
    16. Sinclair, Karine & Cordeau, Jean-François & Laporte, Gilbert, 2014. "Improvements to a large neighborhood search heuristic for an integrated aircraft and passenger recovery problem," European Journal of Operational Research, Elsevier, vol. 233(1), pages 234-245.
    17. Lingxiu Dong & Brian Tomlin, 2012. "Managing Disruption Risk: The Interplay Between Operations and Insurance," Management Science, INFORMS, vol. 58(10), pages 1898-1915, October.
    18. Sammi Y. Tang & Haresh Gurnani & Diwakar Gupta, 2014. "Managing Disruptions in Decentralized Supply Chains with Endogenous Supply Process Reliability," Production and Operations Management, Production and Operations Management Society, vol. 23(7), pages 1198-1211, July.
    19. Sang-Hyun Kim & Brian Tomlin, 2013. "Guilt by Association: Strategic Failure Prevention and Recovery Capacity Investments," Management Science, INFORMS, vol. 59(7), pages 1631-1649, July.
    20. Haehling von Lanzenauer, Christoph & Wright, Don D., 1991. "Operational research and insurance," European Journal of Operational Research, Elsevier, vol. 52(2), pages 129-141, May.
    21. E J Lodree Jr & S Taskin, 2008. "An insurance risk management framework for disaster relief and supply chain disruption inventory planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 674-684, May.
    22. Lauro J. Martinez & James H. Lambert, 2010. "Prioritising sources of risk at liquefied natural gas storage terminals in Mexico," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 1(4), pages 363-383.
    23. Ray, Pritee & Jenamani, Mamata, 2016. "Mean-variance analysis of sourcing decision under disruption risk," European Journal of Operational Research, Elsevier, vol. 250(2), pages 679-689.
    24. Choi, Tsan-Ming & Li, Duan & Yan, Houmin & Chiu, Chun-Hung, 2008. "Channel coordination in supply chains with agents having mean-variance objectives," Omega, Elsevier, vol. 36(4), pages 565-576, August.
    25. Jan A. Van Mieghem, 2003. "Commissioned Paper: Capacity Management, Investment, and Hedging: Review and Recent Developments," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 269-302, July.
    26. Lin, Zhibing & Cai, Chen & Xu, Baoguang, 2010. "Supply chain coordination with insurance contract," European Journal of Operational Research, Elsevier, vol. 205(2), pages 339-345, September.
    27. Zhen, Xueping & Li, Yongjian & Cai, Gangshu (George) & Shi, Dan, 2016. "Transportation disruption risk management: business interruption insurance and backup transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 51-68.
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