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Energy-efficient frozen food transports: the Refrigerated Routing Problem

机译:节能冷冻食品运输:冷藏路线问题

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摘要

Given the growing importance of cold chains and the need to promote sustainable processes, energy efficiency in refrigerated transports is investigated at operational level. The Refrigerated Routing Problem is defined, involving multi-drop deliveries of palletised unit loads of frozen food from a central depot to clients. The objective is to select the route with minimum fuel consumption for both traction and refrigeration. The problem formulation considers speed variation due to traffic congestion phenomena, as well as decreasing load on board along the route as successive clients are visited. Transmission load for exposure of the vehicle to outdoor temperatures and infiltration load at door opening are modelled, taking into account outdoor conditions varying along the day and the year. The resulting multi-period problem is modelled and solved by means of Constraint Programming. Test scenarios come from a real local network for frozen bread dough distributed to supermarkets. Results show how fuel minimisation leads to the selection of different routes in comparison to the traditional total travel distance or time objectives. Energy savings are affected by demand distribution among the clients, departure time, number of visits per tour, seasonality and location of the delivery network.
机译:鉴于冷链的重要性越来越重要,需要促进可持续流程,在运营层面调查了冷藏运输中的能效。限定了冷藏路由问题,涉及从中央仓库到客户的额外的禁用单位载荷的额外输送。目的是选择牵引和制冷最小燃料消耗的路线。问题制定考虑了由于交通拥堵现象导致的速度变化,并且随着参观连续客户的路线沿着路线的负载减少。用于曝光车辆到室外温度和门开口渗透负荷的传输负载被建模,考虑到沿当天和年度不同的户外条件。通过约束编程建模和解决了由此产生的多周期问题。测试场景来自一家真正的当地网络,用于分布于超市的冷冻面包面团。结果表明,与传统的总旅行距离或时间目标相比,燃料最小化如何导致不同路线的选择。能源节省受到客户的需求分布的影响,出发时间,每次旅行,季节性和交付网络的季节性和位置。

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