This paper uses a mixed-integer programming model to solve the distribution problem of perishable food shipments from factories to warehouse and then to destinations. This model focus on adding a limit time which goods can be remained in the warehouse and ignores the transportation cost between factories and warehouse and the cost of warehouse's management. The result shows nearly 62% of the goods should be sent by full-truckload because the fulltruckload can load more and cost less. What's more, the sensitivity analysis further discusses the influence of factory number on total transportation cost.
Shortest distribution route, plays a crucial role in energy consumption reduction and carbon emission control for reducing carbon emission, is seen effective in aiding to achieve sustainable development in the urban environment. This paper proposes an optimization algorithm with correlation coefficients based on the nearest neighbor algorithm for planning single-vehicle distribution routes in cities. The experimental results demonstrates the algorithm's effectiveness in shortening distribution path distances and reducing carbon emission from vehicles, which then also reveals its practical significance for the realization of green logistics.
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