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A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service

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Title: A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service
Authors: Wang, Tingsong, Meng, Qiang, Wang, Shuaian, Qu, Xiaobo, 1983
Source: Transportation Research Part B: Methodological. 150:143-160
Subject Terms: Lagrangian relaxation and dual decomposition, Sample average approximation, Container slot allocation, Two-stage stochastic mixed-integer nonlinear programming
Description: In this study, we propose a container slot allocation problem for a liner shipping service. A liner containership provides a regular shipping service with a fixed itinerary and schedule. In practice, the liner containership may not be fully loaded, which results in a loss of revenue. We therefore segment shippers into two classes: contract shippers and spot shippers. A contract shipper has a contract with the shipping company and negotiates a fixed minimum quantity, so that the shipping company can secure a steady revenue. The remaining containership slots are open to spot shippers, allowing the shipping company to obtain ad hoc revenue. The container slot allocation problem is investigated in this study using a two-stage stochastic mixed-integer nonlinear programming model. We use the sample average approximation based on Lagrangian relaxation and dual decomposition techniques to effectively solve the model. Finally, we conduct a case study to evaluate the applicability and effectiveness of the proposed model and the solution algorithm.
Access URL: https://research.chalmers.se/publication/524702
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Tingsong%22">Wang, Tingsong</searchLink><br /><searchLink fieldCode="AR" term="%22Meng%2C+Qiang%22">Meng, Qiang</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Shuaian%22">Wang, Shuaian</searchLink><br /><searchLink fieldCode="AR" term="%22Qu%2C+Xiaobo%22">Qu, Xiaobo</searchLink>, 1983
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Transportation Research Part B: Methodological</i>. 150:143-160
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Lagrangian+relaxation+and+dual+decomposition%22">Lagrangian relaxation and dual decomposition</searchLink><br /><searchLink fieldCode="DE" term="%22Sample+average+approximation%22">Sample average approximation</searchLink><br /><searchLink fieldCode="DE" term="%22Container+slot+allocation%22">Container slot allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Two-stage+stochastic+mixed-integer+nonlinear+programming%22">Two-stage stochastic mixed-integer nonlinear programming</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this study, we propose a container slot allocation problem for a liner shipping service. A liner containership provides a regular shipping service with a fixed itinerary and schedule. In practice, the liner containership may not be fully loaded, which results in a loss of revenue. We therefore segment shippers into two classes: contract shippers and spot shippers. A contract shipper has a contract with the shipping company and negotiates a fixed minimum quantity, so that the shipping company can secure a steady revenue. The remaining containership slots are open to spot shippers, allowing the shipping company to obtain ad hoc revenue. The container slot allocation problem is investigated in this study using a two-stage stochastic mixed-integer nonlinear programming model. We use the sample average approximation based on Lagrangian relaxation and dual decomposition techniques to effectively solve the model. Finally, we conduct a case study to evaluate the applicability and effectiveness of the proposed model and the solution algorithm.
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      – Type: doi
        Value: 10.1016/j.trb.2021.04.016
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 143
    Subjects:
      – SubjectFull: Lagrangian relaxation and dual decomposition
        Type: general
      – SubjectFull: Sample average approximation
        Type: general
      – SubjectFull: Container slot allocation
        Type: general
      – SubjectFull: Two-stage stochastic mixed-integer nonlinear programming
        Type: general
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      – TitleFull: A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service
        Type: main
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          Name:
            NameFull: Wang, Tingsong
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            NameFull: Meng, Qiang
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            NameFull: Wang, Shuaian
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            NameFull: Qu, Xiaobo
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
          Identifiers:
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              Value: 01912615
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              Value: 150
          Titles:
            – TitleFull: Transportation Research Part B: Methodological
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