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  • 1.
    Zhang, Chuntian
    et al.
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University.
    Gao, Yuan
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University.
    Yang, Lixing
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Gao, Ziyou
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University.
    Integrated optimization of train scheduling and maintenance planning on high-speed railway corridors2019In: Omega: The International Journal of Management Science, ISSN 0305-0483, E-ISSN 1873-5274, Vol. 87, p. 86-104Article in journal (Refereed)
    Abstract [en]

    Regular maintenances on high-speed railway facilities are performed in every night in China, and during regular maintenances, high-speed railway is not available for the sunset-departure and sunrise-arrival trains (SDSA-trains). In order to reduce the influence of regular maintenances on SDSA-trains, three operation modes are used in practice, which mainly consist of route selections between high-speed railway and normal-speed railway. In this paper, we use some linearization techniques to formulate a mixed integer linear programming (MILP) model to identify the operation modes and the timetable of SDSA-trains, by integrating the time window selection of regular maintenances on high-speed railways. The objective of the model is to minimize the total travel time of SDSA-trains. In the formulation of the model, we introduce state variables to indicate whether a train is running on high-speed railway or not, which makes it conveniently express the selection of operation modes. Based on the real data of Beijing-Guangzhou high-speed and normal-speed railway corridors in China, numerical experiments are carried out to test the proposed model and optimization method.

  • 2.
    Zhang, Qinhong
    et al.
    Sino-US Global Logistics Institute, Shanghai Jiao Tong University.
    Zhang, Dali
    Sino-US Global Logistics Institute, Shanghai Jiao Tong University.
    Segerstedt, Anders
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Luo, Jianwen
    School of Management, Shanghai Jiao Tong University.
    Optimal ordering and pricing decisions for a company issuing product-specific gift cards2018In: Omega: The International Journal of Management Science, ISSN 0305-0483, E-ISSN 1873-5274, Vol. 74, p. 92-102Article in journal (Refereed)
    Abstract [en]

    In this paper, we investigate gift card's influence on retailers’ ordering decisions and analyse the benefits of issuing product-specific gift cards. We propose an optimal ordering model for retailers’ decision problems with gift cards being issued. We also solve the problem with the analytical forms of optimal order quantities and expected profits. By comparing the results with the classical newsvendor problem, we classify the benefits of issuing gift cards into three categories: (1) the demand stimulating; (2) the pre-payment, and (3) the non-redemption. We step further to explore a retailer's problem on how to determine the optimal discount for gift cards, which is characterized by a joint optimal policy on the ordering quantity and the discount. We derive the optimal condition on this joint policy. Numerical examples are conducted to illustrate the model results and analyse the influences of parameters. A sample average approximation method is also been introduced to solve the optimization model.

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