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A Decision Support System for Optimizing the Last-Mile by Mixing Traditional and Green Logistics

机译：传统物流与绿色物流相结合的末位决策优化决策支持系统

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摘要

In recent years, freight transportation has emerged as a key factor in the development and dynamicity of countries. However, it has had a considerable impact on urban areas due to environmental issues. Owing to this, several stakeholders have implemented City Logistics solutions in order to make freight transportation more sustainable and efficient. This paper proposes a case study focused on a collaborative transportation system involving traditional and green couriers in the city of Turin (Italy). This freight pooling is sustained by a decision support system that combines the ERP "Odoo" with an algorithm for route optimization planning. The development of this decision support system is based on GUEST methodology, which begins with the identification of the green courier needs and requirements and extends to the implementation of the overall solution. Finally, several results obtained from the application of the decision support system are discussed.
机译：近年来，货运已成为国家发展和活力的关键因素。但是，由于环境问题，它对市区产生了相当大的影响。因此，一些利益相关者已经实施了城市物流解决方案，以使货运更加可持续和高效。本文提出了一个案例研究，该案例研究的重点是意大利都灵市的传统和绿色快递公司的协作运输系统。决策支持系统将这一货运池维持得很好，该决策支持系统将ERP“ Odoo”与用于路线优化计划的算法结合在一起。该决策支持系统的开发基于GUEST方法，该方法从确定绿色快递员的需求和要求开始，并扩展到整个解决方案的实施。最后，讨论了从决策支持系统的应用中获得的一些结果。

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