制药供应链的车辆路线优化算法:系统比较

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Transport and Telecommunication Journal Pub Date : 2024-04-15 DOI:10.2478/ttj-2024-0012
Khadija Ait Mamoun, Lamia Hammadi, A. E. Ballouti, Antonio G. N. Novaes, E. S. Cursi
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引用次数: 0

摘要

如今,供应链和道路网络充满了复杂性。企业可以通过提供优质的客户服务使自己脱颖而出。因此,药品分销商需要优化路线分配,以便高效率、高效益地向药店交付药品,从而提高竞争力。在运筹学(OR)领域,高效路线优化是车辆路线问题(VRP)的一项重要功能,其目标是找到最佳行驶距离。VRP 可通过一系列算法来解决,包括精确法、启发法和元启发法。本文给出了一些算法的基本概念,并根据结果对这些算法进行了比较。本研究还将重点扩展到称为 "带时间窗口的车辆路由问题"(VRPTW)的变体上,该变体密切反映了现实世界的场景,从而可以对药品配送挑战和优化解决方案进行更实用的评估。
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Vehicle Routing Optimization Algorithms for Pharmaceutical Supply Chain: A Systematic Comparison
Nowadays, supply chain and road networks are full of complexity. Companies can differentiate themselves by offering superior customer service. Therefore, pharmaceutical distributors need to optimize route distribution for efficient and effective delivery to pharmacies, enhancing their competitiveness. In the field of operations research (OR), efficient route optimization is a significant function of the Vehicle Routing Problem (VRP) where the goal is to find the optimal distance travelled. The VRP can be solved using a range of algorithms, comprising exact methods, heuristics and meta-heuristics. This paper gives the basic concepts of some algorithms and these algorithms are compared based on the results. This study also extends its focus to the variation known as the Vehicle Routing Problem with Time Windows (VRPTW), that closely mirrors real-world scenarios, allowing for a more practical assessment of pharmaceutical distribution challenges and optimization solutions.
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来源期刊
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
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