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Location Optimization of Cross Dock Network Considering Carbon Emissions

机译：考虑碳排放的跨码头网络选址优化

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摘要

A logistics network with cross-docks can simplify the logistics operation process, reduce inventory costs, and improve the efficiency of transportation. In the traditional location design of a cross-docks network, only the cost of transportation and fixed construction is being considered. The carbon emissions costs caused by environmental pollution, in the process of transportation, has been ignored. In order to make the location design meet the demand of economic sustainable development, a location selecting algorithm considering carbon emissions for cross-docks of multiple products is presented based on a particle swarm algorithm. Firstly, the facility location problem is analyzed, then a corresponding mathematical model is set up, and finally the problem is solved by using the particle swarm optimization (PSO) algorithm. The example shows that the proposed algorithm is effective and feasible. The model is stable when the parameters change, and the problem can be well solved by the PSO algorithm.
机译：跨码头的物流网络可以简化物流运作流程，降低库存成本并提高运输效率。在传统的跨码头网络位置设计中，只考虑了运输和固定建设的成本。在运输过程中，由环境污染引起的碳排放成本已被忽略。为了使选址设计满足经济可持续发展的需求，提出了一种基于粒子群算法的考虑多种产品跨码头碳排放的选址算法。首先分析设施选址问题，然后建立相应的数学模型，最后使用粒子群算法求解。算例表明，该算法是有效可行的。当参数改变时，模型是稳定的，并且可以通过PSO算法很好地解决该问题。

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