A sharing logistics platform for less-than-truckloads could increase efficiency in city pickup and last-mile deliveries under time window constraints by pairing (matching) truck bidders and last-mile logistics requesters. The platform will propose new tours based on localization data, travel time and time-window constraints; it operates a matching algorithm to search for stable truck-sharing deals aiming to reduce the number of trucks in use as well as their operational costs. These sharing deals also reduce traveling distances and gas emissions. We simulate a model to understand the effects of fixed costs and variable costs in the operations, we account for reductions, and we provide some managerial insights. Additionally, we perform sensitivity analysis to consider the effect of delivery time windows’ relaxation and additional travel distance constraints to evaluate the proposed solutions under practical conditions.

中文翻译：

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运输承运商在城市地区最后一公里配送方面的合作

通过配对（匹配）卡车竞标者和最后一英里物流请求者，用于零担运输的共享物流平台可以在时间窗口限制下提高城市取货和最后一英里交付的效率。该平台将根据本地化数据、旅行时间和时间窗口限制提出新的旅行；它运行匹配算法来搜索稳定的卡车共享交易，旨在减少使用的卡车数量及其运营成本。这些共享交易还减少了旅行距离和气体排放。我们模拟一个模型来了解运营中固定成本和可变成本的影响，我们考虑减少，并提供一些管理见解。此外，