A standard approach to selecting a simple sequencing rule for decentralized application throughout a job shop is developed and illustrated. Search procedures are applied to a response function which is an expectation of relevant cost per order. The cost for each order observed is a weighted combination of the multiple responses that exist in a job-shop environment. An expectation of cost per order is found by sampling the processing of orders within a computer simulation model for a particular sequencing rule. Each sequencing rule is determined by the coefficients in a priority function which is a weighted combination of identified decision variables The search procedure thus tests different sequencing rules by varying the coefficients in the priority function and generating associated cost expectations through simulation. Rather than leading to a "single best rule" for all job shops, the appreach is a "method for finding" a sequencing rule for any specific situation.
开发并说明了一种标准方法,该方法为整个车间内的分散应用程序选择简单的排序规则。将搜索过程应用于响应功能,这是对每个订单相关成本的预期。观察到的每个订单的成本是在车间环境中存在的多个响应的加权组合。通过为特定的排序规则对计算机仿真模型中的订单处理进行采样,可以找到每笔订单成本的期望值。每个排序规则由优先级函数中的系数确定,优先级函数是已标识的决策变量的加权组合。因此,搜索过程通过更改优先级函数中的系数并通过仿真生成相关的成本预期来测试不同的排序规则。覆盖面不是针对所有车间提供“唯一最佳规则”,而是针对任何特定情况的“查找方法”排序规则。 P>
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