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Two-stage mean-risk stochastic optimization model for port cold storage capacity under pelagic fishery yield uncertainty

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  • Liu, Zhimin
  • Qu, Shaojian
  • Goh, Mark
  • Wu, Zhong
  • Huang, Ripeng
  • Ma, Gang

Abstract

The problem of the optimal capacity of cold storage for pelagic fisheries under uncertain harvesting/production is studied. We establish a two-stage mean-risk stochastic optimization model, by considering the uncertainty of pelagic fishery yield and the risk measure of the cold storage cost loss. Applying a Benders-type scenario decomposition method, a modified cutting decomposition algorithm is proposed to solve the two-stage mean-risk stochastic optimization model, yielding the optimal capacity and maximal expected return of cold storage simultaneously. Further, the effects of the refrigeration cost, storage fee, weight of the conditional value-at-risk, and the confidence level on the expected profit are analyzed. We compare the modified cutting decomposition algorithm with a multi-cutting decomposition algorithm, to validate the proposed algorithm based on the computational time and the number of iterations.

Suggested Citation

  • Liu, Zhimin & Qu, Shaojian & Goh, Mark & Wu, Zhong & Huang, Ripeng & Ma, Gang, 2020. "Two-stage mean-risk stochastic optimization model for port cold storage capacity under pelagic fishery yield uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    • Handle: RePEc:eee:phsmap:v:541:y:2020:i:c:s0378437119318680
    DOI: 10.1016/j.physa.2019.123338
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    1. Nilay Noyan & Gábor Rudolf, 2013. "Optimization with Multivariate Conditional Value-at-Risk Constraints," Operations Research, INFORMS, vol. 61(4), pages 990-1013, August.
    2. Basak, Suleyman & Shapiro, Alexander, 2001. "Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 371-405.
    3. F. W. Meng & J. Sun & M. Goh, 2010. "Stochastic Optimization Problems with CVaR Risk Measure and Their Sample Average Approximation," Journal of Optimization Theory and Applications, Springer, vol. 146(2), pages 399-418, August.
    4. Hailin Sun & Huifu Xu & Yong Wang, 2014. "Asymptotic Analysis of Sample Average Approximation for Stochastic Optimization Problems with Joint Chance Constraints via Conditional Value at Risk and Difference of Convex Functions," Journal of Optimization Theory and Applications, Springer, vol. 161(1), pages 257-284, April.
    5. Ingrid E. Putten & Anna K. Farmery & Bridget S. Green & Alistair J. Hobday & Lilly Lim-Camacho & Ana Norman-López & Robert W. Parker, 2016. "The Environmental Impact of Two Australian Rock Lobster Fishery Supply Chains under a Changing Climate," Journal of Industrial Ecology, Yale University, vol. 20(6), pages 1384-1398, December.
    6. Lilly Lim-Camacho & Alistair J. Hobday & Rodrigo H. Bustamante & Anna Farmery & Aysha Fleming & Stewart Frusher & Bridget S. Green & Ana Norman-López & Gretta T. Pecl & Éva E. Plagányi & Peggy Schrobb, 2015. "Facing the wave of change: stakeholder perspectives on climate adaptation for Australian seafood supply chains," Post-Print hal-02156374, HAL.
    7. Adeinat, Hamza & Ventura, Jose A., 2018. "Integrated pricing and supplier selection in a two-stage supply chain," International Journal of Production Economics, Elsevier, vol. 201(C), pages 193-202.
    8. Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Robustness of assembly supply chain networks by considering risk propagation and cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 129-139.
    9. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    10. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
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    1. Liu, Zhimin & Wu, Zhong & Ji, Ying & Qu, Shaojian & Raza, Hassan, 2021. "Two-stage distributionally robust mixed-integer optimization model for three-level location–allocation problems under uncertain environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).

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