一种集装箱港口设备配置优化方法与系统

By establishing an optimization model for total loading and unloading costs and service time, and using heuristic algorithms to solve the problem, the lack of economic efficiency in loading and unloading configuration in existing technologies has been solved. This has resulted in the lowest total cost and shortest time for port loading and unloading equipment configuration, thereby improving the economy and efficiency of port loading and unloading.

CN115935611BActive Publication Date: 2026-07-17HUAIYIN INSTITUTE OF TECHNOLOGY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAIYIN INSTITUTE OF TECHNOLOGY
Filing Date
2022-11-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies, when optimizing container port loading and unloading, only focus on loading and unloading time as the optimization objective, ignoring loading and unloading costs. This results in a lack of economic efficiency in loading and unloading configurations and fails to effectively reduce the total cost of port loading and unloading.

Method used

A first configuration optimization model and a second configuration optimization model are established, with the objectives of minimizing the total loading and unloading cost and minimizing the loading and unloading service time, respectively. By collecting equipment cost and efficiency data, heuristic algorithms are used to solve the models to obtain the optimal equipment configuration scheme.

Benefits of technology

The equipment configuration achieved the lowest total loading and unloading cost and the shortest loading and unloading service time within the specified time, thus improving the economy and efficiency of port loading and unloading.

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Abstract

本发明公开了一种集装箱港口设备配置优化方法与系统,所述方法包括:(1)采集集装箱船舶装卸总量、期望装卸时间、各项设备的成本、各项设备的服务效率;(2)建立第一配置优化模型、第二配置优化模型;第一配置优化模型的目标函数为:完成装卸任务的装卸时长有弹性,即在期望装卸时间内完成有奖励,在期望时间外完成有惩罚的条件下,在规定时间内装卸总成本最低;第二配置优化模型的目标函数为:要求在期望装卸时间完成装卸任务的条件下,在规定时间内装卸总成本最低;(3)采用启发式算法求解第一配置优化模型、第二配置优化模型获取对应优化模型下最优解。本方法能够获得在规定时间内装卸的总成本最低、装卸服务时间最少的设备配置方案。
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