Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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A Robust Ship Scheduling Based on Mean-Variance Optimization Model

평균-분산 최적화 모형을 이용한 로버스트 선박운항 일정계획

  • Park, Nareh (Korea Maritime and Ocean University, Division of Shipping Management) ;
  • Kim, Si-Hwa (Korea Maritime and Ocean University, Division of Maritime Transportation Science)
  • 박나래 (한국해양대학교 해운경영학부) ;
  • 김시화 (한국해양대학교 해사수송과학부)
  • Received : 2015.08.31
  • Accepted : 2016.05.04
  • Published : 2016.05.31
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Abstract

This paper presented a robust ship scheduling model using the quadratic programming problem. Given a set of available carriers under control and a set of cargoes to be transported from origin to destination, a robust ship scheduling that can minimize the mean-variance objective function with the required level of profit can be modeled. Computational experiments concerning relevant maritime transportation problems are performed on randomly generated configurations of tanker scheduling in bulk trade. In the first stage, the optimal transportation problem to achieve maximum revenue is solved through the traditional set-packing model that includes all feasible schedules for each carrier. In the second stage, the robust ship scheduling problem is formulated as mentioned in the quadratic programming. Single index model is used to efficiently calculate the variance-covariance matrix of objective function. Significant results are reported to validate that the proposed model can be utilized in the decision problem of ship scheduling after considering robustness and the required level of profit.

Keywords

References

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