...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Intelligent Manufacturing >The performance of workload rules for order acceptance in batch chemical manufacturing
【24h】

The performance of workload rules for order acceptance in batch chemical manufacturing

机译：批处理化学生产中订单接受工作量规则的执行

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We investigate the performance of workload rules used to support customer order acceptance decisions in the hierarchical production control structure of a batch chemical plant. Customer order acceptance decisions need to be made at a point in time when no detailed information is available about the actual shop floor status during execution of the order. These decisions need therefore be based on aggregate models of the shop floor, which predict the feasibility of completing the customer order in time. In practice, workload rules are commonly used to estimate the availability of sufficient capacity to complete a set of orders in a given planning period. Actual observations in a batch chemical manufacturing plant show that the set of orders accepted needs to be reconsidered later, because the schedule turns out to be infeasible. Analysis of the planning processes used at the plant shows that workload rules can yields reliable results, however at the expense of a rather low capacity utilization. In practice this is often unacceptable. Since, solving a detailed scheduling problem is not feasible at this stage, this creates a dilemma that only can be solved if we can find more detailed aggregate models than workload rules can provide.
机译：我们调查用于支持化工厂的分层生产控制结构中的客户订单接受决策的工作负载规则的性能。客户订单接受决策需要在订单执行期间没有有关实际车间状态的详细信息可用的时间点做出。因此，这些决策需要基于车间的汇总模型，这些模型可以预测及时完成客户订单的可行性。实际上，工作负荷规则通常用于估计在给定计划期间内完成一组订单的足够容量的可用性。在批处理化学生产工厂中的实际观察表明，由于日程安排不可行，因此需要稍后重新考虑接受的订单集。对工厂中使用的计划过程的分析表明，工作量规则可以产生可靠的结果，但是以相当低的产能利用率为代价。实际上，这通常是不可接受的。由于在这个阶段解决详细的调度问题是不可行的，因此这会产生一个难题，只有当我们找到比工作量规则所能提供的更为详细的聚合模型时，才可以解决。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号