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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问题中找到运输资源FTL分配的初始计划

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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商业模式运送货物的货运公司的运输资源分配的特殊VRP问题。公认的是,每个真实的货运公司都实时运行,并且需要对传入事件做出反应,以自适应地重新分配可用资源。为此,在许多现代货运公司中已充分证明并使用了多代理系统。但是,人们承认,有可能通过在夜间没有使用新事件的系统中使用稳定的时间段来提高质量优化水平,并且有时间将经典优化方法用于发现初始变量的特殊子问题中。分配计划。通过长时间使用人类实际的后勤调度知识,可以定义对初始分配计划问题的基本限制。该问题的形式化类似于线性规划的经典分配问题。考虑了该问题的非循环和循环情况。结果表明,该问题的非循环情况可以轻松地归结为分配问题,但对于循环情况,则需要排除重要的资源以匹配条件。提出了使用匈牙利方法来寻找初始计划问题的精确解决方案,该方法已被证明是精确的方法。还表明,该方法不能用于实时调度,因为即使在静态循环情况下,也无法支持资源以匹配下一个未来订单的订单条件,但可以将其作为对订单的补充。多主体方法。

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