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首页> 外文期刊>International Journal of Production Research >Workload control release mechanisms: from practice back to theory building
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Workload control release mechanisms: from practice back to theory building

机译：工作量控制释放机制：从实践回到理论构建

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摘要

Much Workload Control research has focussed on the order release stage but failed to address practical considerations that impact practical application. Order release mechanisms have been developed through simulations that neglect job size variation effects while empirical evidence suggests groups of small/large jobs are often found in practice. When job sizes vary, it is difficult to release all jobs effectively-small jobs favour a short period between releases and a tight workload bounding while large jobs require a longer period between releases and a slacker workload bounding. This paper represents a return from a case study setting to theory building. Through simulation, the impact of job sizes on overall performance is explored using all three aggregate load approaches. Options tested include: using distinct load capacities for small/large jobs and prioritising based on job size or routing length. Results suggest the best solution is assigning priority based on routing length; this improved performance, especially for large jobs, and allowed a short release period to be applied, as favoured by small jobs. These ideas have also been applied to a second practical problem: how to handle rush orders. Again, prioritisation, given to rush orders, leads to the best overall shop performance.
机译：工作量控制的许多研究都集中在订单发布阶段，但未能解决影响实际应用的实际考虑。通过模拟忽略了工作规模变化的影响，开发了订单释放机制，而经验证据表明，在实践中经常发现小型或大型工作组。当作业大小变化时，很难有效地释放所有作业-小型作业倾向于在两次发布之间的时间较短且工作负载范围狭窄，而大型作业则需要较长的两次发布之间的时间段以及较宽松的工作负载范围。本文代表了从案例研究到理论构建的回归。通过仿真，使用所有三种聚合负载方法来探索作业大小对整体性能的影响。测试的选项包括：对小型/大型作业使用不同的负载容量，并根据作业大小或路由长度确定优先级。结果表明最好的解决方案是根据路由长度分配优先级。这种改进的性能，特别是对于大型工作，并允许较短的发布期，这对于小型工作是有利的。这些想法也已应用于第二个实际问题：如何处理紧急订单。同样，对紧急订单进行优先排序会导致最佳整体店铺性能。

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