View in EDS HTML Full Text PDF Full Text

Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty.

Saved in:
Bibliographic Details
Title: Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty.
Authors: Tan, Caimao1 (AUTHOR), He, Junliang1,2 (AUTHOR) soldierlianglian@163.com
Source: Annals of Operations Research. Jun2025, Vol. 349 Issue 2, p879-910. 32p.
Subjects: Loading & unloading, Assignment problems (Programming), Cranes (Machinery), Stochastic programming, Container terminals
Abstract: The berth allocation and quay crane assignment problem (BACAP) is a complex port operation planning problem susceptible to uncertainties, such as vessel arrival time fluctuation to its estimated time of arrival and maritime markets. For promoting reliability and sustainability of container terminals, this paper addresses the optimization of BACAP under the uncertain vessels' arrival times and fluctuation of loading and unloading volumes. We propose a proactive BACAP strategy considering minimum recovery cost under uncertainty using a reactive strategy. A stochastic programming model is formulated to minimize the basic cost in the baseline schedule, and the recovery cost in real uncertain scenarios. A two-stage meta-heuristic framework based on GA is developed for solving this problem. Numerical experiments and scenario analysis are conducted to validate the effectiveness of the proposed model and the proposed solution approaches. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 186244264
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tan%2C+Caimao%22">Tan, Caimao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Junliang%22">He, Junliang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> soldierlianglian@163.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. Jun2025, Vol. 349 Issue 2, p879-910. 32p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Loading+%26+unloading%22">Loading & unloading</searchLink><br /><searchLink fieldCode="DE" term="%22Assignment+problems+%28Programming%29%22">Assignment problems (Programming)</searchLink><br /><searchLink fieldCode="DE" term="%22Cranes+%28Machinery%29%22">Cranes (Machinery)</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+programming%22">Stochastic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Container+terminals%22">Container terminals</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The berth allocation and quay crane assignment problem (BACAP) is a complex port operation planning problem susceptible to uncertainties, such as vessel arrival time fluctuation to its estimated time of arrival and maritime markets. For promoting reliability and sustainability of container terminals, this paper addresses the optimization of BACAP under the uncertain vessels' arrival times and fluctuation of loading and unloading volumes. We propose a proactive BACAP strategy considering minimum recovery cost under uncertainty using a reactive strategy. A stochastic programming model is formulated to minimize the basic cost in the baseline schedule, and the recovery cost in real uncertain scenarios. A two-stage meta-heuristic framework based on GA is developed for solving this problem. Numerical experiments and scenario analysis are conducted to validate the effectiveness of the proposed model and the proposed solution approaches. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=186244264
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10479-020-03891-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 32
        StartPage: 879
    Subjects:
      – SubjectFull: Loading & unloading
        Type: general
      – SubjectFull: Assignment problems (Programming)
        Type: general
      – SubjectFull: Cranes (Machinery)
        Type: general
      – SubjectFull: Stochastic programming
        Type: general
      – SubjectFull: Container terminals
        Type: general
    Titles:
      – TitleFull: Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tan, Caimao
      – PersonEntity:
          Name:
            NameFull: He, Junliang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 02545330
          Numbering:
            – Type: volume
              Value: 349
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Annals of Operations Research
              Type: main
ResultId 1