Workload control release mechanisms: from practice back to theory building
Workload control release mechanisms: from practice back to theory building
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DOI：
10.1080/00207540902922810
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发表时间：
2010-04
影响因子：
9.2
通讯作者：
M. Thürer;Cristóvão Silva;Mark Stevenson
中科院分区：
文献类型：
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作者：
M. Thürer;Cristóvão Silva;Mark Stevenson
许多工作量控制研究集中在订单释放阶段，但未能解决影响实际应用的实际考虑因素。顺序释放机制是通过模拟开发的，忽略了作业大小变化的影响，而经验证据表明，在实践中经常发现小/大作业组。当作业大小不同时，很难有效地释放所有作业—小作业倾向于在短时间内发布和较紧的工作负载边界，而大作业需要较长的发布间隔和较宽松的工作负载边界。本文代表了从个案研究到理论建构的回归。通过模拟，使用所有三种聚合负载方法探索作业大小对总体性能的影响。测试的选项包括：为小型/大型作业使用不同的负载能力，并根据作业大小或路由长度确定优先级。结果表明，基于路由长度分配优先级是最佳解决方案；这提高了性能，特别是对于大型作业，并且允许应用较短的释放期，这是小型作业所喜欢的。这些想法也适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，会带来最佳的整体店铺表现。
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.