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A multi-compartment vehicle routing problem in cold-chain distribution

机译:冷链配送中的多室车辆路径问题

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摘要

The vehicle routing problem derived from a real cold-chain distribution company is studied in this paper. It is formulated as a multi-compartment vehicle routing problem with some practical constraints. A mathematical model is provided and an adaptive large neighborhood search (ALNS) algorithm is developed to solve the real-world problems. The computational experiments demonstrate the effectiveness and efficiency of the ALNS algorithm compared with the manual method based mostly on experience. In addition, a sensitivity analysis provides valuable managerial insights for the decision-makers. Crown Copyright (C) 2019 Published by Elsevier Ltd. All rights reserved.
机译:本文研究了一个真正的冷链配送公司的车辆路径问题。它被表述为具有一些实际约束的多室车辆路径问题。提供了一个数学模型,并开发了一种自适应大邻域搜索(ALNS)算法来解决现实世界中的问题。计算实验表明,与基于经验的人工方法相比,ALNS算法的有效性和有效性。此外,敏感性分析为决策者提供了宝贵的管理见解。 Crown版权所有(C)2019,由Elsevier Ltd.出版。保留所有权利。

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