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author:

Li, Ying (Li, Ying.) [1] | Chu, Feng (Chu, Feng.) [2] | Zheng, Feifeng (Zheng, Feifeng.) [3] | Kacem, Imed (Kacem, Imed.) [4]

Indexed by:

CPCI-S

Abstract:

Maritime transportation has kept a steadily fast development in recent decades, which puts higher requirement to the port operation. Lots of works addressed the integrated scheduling of berth and quay crane, however, most of them ignore the impact of maintenance activities, especially, the uncertain quay crane maintenance. In this paper, we investigate an integrated berth allocation and quay crane assignment with uncertain quay crane maintenance activities, and establish a stochastic integer linear programming model to minimize the excepted total turnaround time of vessels. A sample average approximation method is applied to solve the problem. Numerical experiments with 90 instances are conducted, which verify the accuracy and efficiency of the proposed model and method.

Keyword:

Berth allocation quay crane assignment stochastic programming uncertain maintenance activities

Community:

  • [ 1 ] [Li, Ying]Donghua Univ, Glorious Sun Sch Business & Management, Shanghai, Peoples R China
  • [ 2 ] [Zheng, Feifeng]Donghua Univ, Glorious Sun Sch Business & Management, Shanghai, Peoples R China
  • [ 3 ] [Li, Ying]Univ Paris Saclay, Univ Evry, IBISC, F-91025 Evry, France
  • [ 4 ] [Chu, Feng]Univ Paris Saclay, Univ Evry, IBISC, F-91025 Evry, France
  • [ 5 ] [Chu, Feng]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
  • [ 6 ] [Kacem, Imed]Univ Lorraine, LCOMS EA 7306, Metz, France

Reprint 's Address:

  • [Li, Ying]Donghua Univ, Glorious Sun Sch Business & Management, Shanghai, Peoples R China;;[Li, Ying]Univ Paris Saclay, Univ Evry, IBISC, F-91025 Evry, France

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Source :

PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM 2019)

Year: 2019

Page: 248-253

Language: English

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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