Vehicle Routing Approach for Lean Shop-Floor Logistics

Dávid Gyulai, L. Monostori
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Abstract

In order to satisfy the material supply needs of large scale shop-floors and production systems, various logistics solutions are applied. In lean manufacturing enterprises, the material supply is pulled by the demands of manufacturing/assembly processes; therefore, a milkrun service is often applied to support the production without glitches. The milkrun logistics planning is a special case for vehicle routing problem (VRP), and requires effective approach to solution in order to satisfy various constraints, and minimize the cost of service. This study gives an overview about lean logistics as well as the most efficient VRP solver algorithms. Furthermore, a novel initial solution with generation heuristics is proposed, which is specially focused on flexible milkrun planning. In order to demonstrate the capabilities of the solution, a software environment is developed as a demonstration that focuses on the main industrial requirements of logistics planning like effective layout definition, quick response of the delivery service and effective order handling.
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精益车间物流的车辆路径方法
为了满足大型车间和生产系统的物料供应需求,应用了各种物流解决方案。在精益制造企业中,物料供应由制造/装配过程的需求拉动;因此,牛奶运行服务通常用于支持生产,而不会出现故障。牛奶配送物流规划是车辆路径问题(VRP)的一个特例,为了满足各种约束条件,使服务成本最小化,需要有效的求解方法。本研究概述了精益物流以及最有效的VRP求解算法。在此基础上,提出了一种新的基于生成启发式的初始解,特别针对柔性运奶规划问题。为了演示解决方案的能力,开发了一个软件环境作为演示,重点关注物流规划的主要行业需求,如有效的布局定义,交付服务的快速响应和有效的订单处理。
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