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Finding an initial plan of transport resources FTL allocation in a special VRP problem using linear programming methods

机译:使用线性规划方法在特殊的VRP问题中查找初始运输资源FTL分配计划

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The special VRP problem of transport resources allocation for freight transportation companies that deliver cargo via FTL business model was considered. It was admitted that each real freight transportation company operates in a real time and needs to react on incoming events adaptively reallocate available resources. For this purposes multi agent systems are well proved and used in many modern freight companies. But it was admitted that there is a possibility to improve a quality optimization level by using the stable time period during night hours when no new events come into the system and there is a time for using classic optimization approach in special sub problem of finding the initial allocation plan. By using expert human real logistic scheduling knowledge for a long time period the essential set of limitations to this initial allocation plan problem was defined. The problem was formalized similar to the classical assignment problem of linear programming. Acyclic and cyclic cases of the problem were considered. It was shown that the acyclic case of the problem could be reduced to the assignment problem easily but for the cyclic case it requires to exclude important resource to order matching condition. Finding the exact solution of the initial plan problem was proposed by using the Hungarian method, which is well proved exact method. It was also shown that this method couldn't be applied in case of real time scheduling, because even in static cyclic case it is impossible to support resource to order matching condition for next future orders, but it can be applied as an addition to the multi agent approach.
机译:考虑了通过FTL商业模式运送货物运输公司运输资源分配的特殊VRP问题。它被承认,每个真正的货运公司在实时运行,需要对进入的活动进行反应,可自适应地重新分配可用资源。为此目的,多代理系统得到很好的证明并在许多现代货运公司中使用。但是,它承认有可能通过在没有新事件进入系统的夜晚期间使用夜间的稳定时间段来提高质量优化水平,并且在找到初始的特殊子问题中使用经典优化方法存在时间分配计划。通过使用长时间的专家实际逻辑调度知识,定义了对此初始分配计划问题的基本限制集。问题正称类似于线性编程的经典分配问题。考虑了问题的无循环和循环案例。结果表明,问题的无循环案件可以轻松降低到分配问题,但对于排除重要资源来订购匹配条件,可以减少到分配问题。通过使用匈牙利方法提出了初始计划问题的确切解决方案,这很好地证明了精确的方法。还显示出在实时调度的情况下,无法应用此方法,因为即使在静态循环外壳中,也不可能支持下一个未来订单的订购匹配条件的资源,但它可以作为添加到的补充多代理方法。

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