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Shipping mode choice in cold chain from a value-based management perspective

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  • Zhang, Xiunian
  • Lam, Jasmine Siu Lee

Abstract

The competition between bulk and containers in reefer shipping has become increasingly intensified in recent years. This study aims to investigate the modal choice between reefer bulk and container vessels by applying the value-based management tool in cold chain management. A value-based decision model is developed for operational and financial planning with Economic Value Added as the objective function. The commodity character and the voyage distance are identified as the main factors that affect the modal choice. The numerical study and sensitivity analysis reveal the change in modal choice and route choice under different operational and financial scenarios.

Suggested Citation

  • Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    • Handle: RePEc:eee:transe:v:110:y:2018:i:c:p:147-167
    DOI: 10.1016/j.tre.2017.11.015
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    1. Michael C. Jensen, 2010. "Value Maximization, Stakeholder Theory, and the Corporate Objective Function," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(1), pages 32-42, January.
    2. Maihami, Reza & Nakhai Kamalabadi, Isa, 2012. "Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand," International Journal of Production Economics, Elsevier, vol. 136(1), pages 116-122.
    3. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    4. Herbon, Avi & Levner, Eugene & Cheng, T.C.E., 2014. "Perishable inventory management with dynamic pricing using time–temperature indicators linked to automatic detecting devices," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 605-613.
    5. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    6. Robert G Dyson, 2000. "Strategy, performance and operational research," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 5-11, January.
    7. Lam, Jasmine Siu Lee & Bai, Xiwen, 2016. "A quality function deployment approach to improve maritime supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 16-27.
    8. Chen, Xu & Wang, Xiaojun, 2016. "Effects of carbon emission reduction policies on transportation mode selections with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 196-205.
    9. J P C Kleijnen & M T Smits, 2003. "Performance metrics in supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 507-514, May.
    10. Jasmine Siu Lee Lam, 2010. "Synchronisation of Seaborne Cold Chains," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Business, chapter 5, Edward Elgar Publishing.
    11. Kleijnen, J.P.C. & Smits, M.T., 2003. "Performance metrics in supply chain management," Other publications TiSEM 80777aed-0c9f-4ded-b0bb-f, Tilburg University, School of Economics and Management.
    12. Ali Cheaitou & Pierre Cariou, 2012. "Liner shipping service optimisation with reefer containers capacity: an application to northern Europe--South America trade," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(6), pages 589-602, November.
    13. Saif, Ahmed & Elhedhli, Samir, 2016. "Cold supply chain design with environmental considerations: A simulation-optimization approach," European Journal of Operational Research, Elsevier, vol. 251(1), pages 274-287.
    14. Giulia Arduino & David Carrillo Murillo & Francesco Parola, 2015. "Refrigerated container versus bulk: evidence from the banana cold chain," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(3), pages 228-245, April.
    15. Helen Thanopoulou, 2012. "Bulk reefer market economics in a product life cycle perspective," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(3), pages 281-296, May.
    16. Garrido, Rodrigo A. & Leva, Mabel, 2004. "Port of destination and carrier selection for fruit exports: a multi-dimensional space-time multi-nomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 657-667, August.
    17. Jean-Paul Rodrigue & Theo Notteboom, 2015. "Looking inside the box: evidence from the containerization of commodities and the cold chain," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(3), pages 207-227, April.
    18. Chenhall, Robert H., 2005. "Integrative strategic performance measurement systems, strategic alignment of manufacturing, learning and strategic outcomes: an exploratory study," Accounting, Organizations and Society, Elsevier, vol. 30(5), pages 395-422, July.
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    2. Kundu, Tanmoy & Sheu, Jiuh-Biing, 2019. "Analyzing the effect of government subsidy on shippers’ mode switching behavior in the Belt and Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 175-202.
    3. Wang, Shuaian & Yan, Ran & Qu, Xiaobo, 2019. "Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 129-157.
    4. Lam, Jasmine Siu Lee & Zhang, Xiunian, 2019. "Innovative solutions for enhancing customer value in liner shipping," Transport Policy, Elsevier, vol. 82(C), pages 88-95.
    5. Pal, Preeti & Gopal, P.R.C. & Ramkumar, M., 2023. "Impact of transportation on climate change: An ecological modernization theoretical perspective," Transport Policy, Elsevier, vol. 130(C), pages 167-183.
    6. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    7. Pache, Hannah & Grafelmann, Michaela & Schwientek, Anne Kathrina & Jahn, Carlos, 2020. "Tactical planning in tramp shipping - A literature review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 281-308, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    8. Manupati, Vijaya Kumar & Schoenherr, Tobias & Subramanian, Nachiappan & Ramkumar, M. & Soni, Bhanushree & Panigrahi, Suraj, 2021. "A multi-echelon dynamic cold chain for managing vaccine distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    9. Liu, Chao & Chen, Weidong & Zhou, Qian & Mu, Jing, 2021. "Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 293(2), pages 511-528.

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