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Conference Papers Year : 2021

Berth Allocate Problem with Multi-entry Considering Marine Fish Freshness

Jing Zhu
  • Function : Author
  • PersonId : 1201203
Wang Yan
  • Function : Author
  • PersonId : 1201204
Xuehao Feng
  • Function : Author
  • PersonId : 1201205

Abstract

In this paper, we analyze the berth allocation problem for vessels calling at fishing ports by considering the current higher consumer demand for seafood freshness in the vast inland areas of China. At first, according to the previous investigation on the site of Zhoushan Fishing Port, we propose a mathematical model to maximize the overall profit with a multiple-entry policy of the vessels. The optimal berth allocation and re-entry of vessels can be obtained. We integrate the vessel’s owner, the manager of the port, and the fish market vendor together, regarding the tripartite overall profit as the objective function. Based on this, taking into account the relationship between seafood unloading time and overall income, a mathematical model of mixed-integer linear programming (MILP) is constructed to accurately describe the berth allocation decision framework under which fishing vessels are allowed multiple arrivals.
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hal-03897840 , version 1 (14-12-2022)

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Attribution - CC BY 4.0

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Jing Zhu, Wang Yan, Xuehao Feng. Berth Allocate Problem with Multi-entry Considering Marine Fish Freshness. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.149-157, ⟨10.1007/978-3-030-85914-5_16⟩. ⟨hal-03897840⟩
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