A Mathematical Programming Model for the Green Mixed Fleet Vehicle Routing Problem with Realistic Energy Consumption and Partial Recharges

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI:10.1109/IEEM44572.2019.8978715

V. Yu, Panca Jodiawan, A. Gunawan, A. T. Widjaja

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引用次数: 4

Abstract

A green mixed fleet vehicle routing with realistic energy consumption and partial recharges problem (GMFVRP-REC-PR) is addressed in this paper. This problem involves a fixed number of electric vehicles and internal combustion vehicles to serve a set of customers. The realistic energy consumption which depends on several variables is utilized to calculate the electricity consumption of an electric vehicle and fuel consumption of an internal combustion vehicle. Partial recharging policy is included into the problem to represent the real life scenario. The objective of this problem is to minimize the total travelled distance and the total emission produced by internal combustion vehicles. This is a new variant of problem which is developed from a mixed fleet of electric and internal combustion vehicles, full recharging policy, and operational cost minimization. A mixed integer programming model is then developed to address this problem and commercial software is utilized to solve the model.

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考虑实际能耗和部分充电的绿色混合车队路径问题的数学规划模型

研究了一种具有实际能耗和部分充电问题的绿色混合车队路径(GMFVRP-REC-PR)。这个问题涉及到固定数量的电动汽车和内燃机汽车，以服务于一组客户。利用依赖于几个变量的实际能耗来计算电动汽车的电能消耗和内燃机汽车的燃油消耗。将部分充电策略纳入问题中，以代表现实生活场景。该问题的目标是最小化内燃机车辆的总行驶距离和总排放量。这是一种新的问题变体，由电动汽车和内燃机汽车的混合车队、完全充电政策和运营成本最小化发展而来。然后开发了一个混合整数规划模型来解决这个问题，并利用商业软件来求解该模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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