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首页> 外文会议>International Conference on Mechanical Engineering and Mechanics vol.2; 20051026-28; Nanjing(CN) >Matching Studying of Manufacturing Resource in Scalable Batch Production
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Matching Studying of Manufacturing Resource in Scalable Batch Production

机译：可扩展批量生产中制造资源的匹配研究

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摘要

Scalable batch production is a kind of advanced manufacturing mode. One restriction to carry out this mode is manufacturing resource. Appropriate process routes are very import to any batch. By studying the matching of process step with its corresponding equipment, many routes of process can be obtained. To meet the demand of variety of the batch, the hierarchy database of manufacturing resource is established, it includes three hierarchies. According to the request of batch, different hierarchy is employed, and the expectation of value can be given ahead, then the matrix of manufacturing resource and the expectation can be work out. By compounding the expectation matrix with matrix of capability of resource, we can obtain the redundance of capability. Considering the redundance as candidates and process step as activities, the minimum sum of redundance as target value, matching becomes a special assignment problem. Adding dummy work and replacing negative element with positive one, special assignment problem can be changed into general assignment problem, the result of the matching is achieved by "Hungary Algorithm". Adjusting the expectation or hierarchy of database, repeating matching in this way, many routes of process can be obtained. At last, a numerical example is illustrated to validate this proposed method.
机译：可扩展的批量生产是一种先进的制造模式。执行此模式的一个限制是制造资源。适当的工艺路线对于任何批次都是非常重要的。通过研究工艺步骤与相应设备的匹配，可以获得许多工艺路线。为了满足批次的各种需求，建立了制造资源的层次数据库，该数据库包括三个层次。根据批次的要求，采用不同的层次结构，可以提前给出对价值的期望，从而可以得出制造资源矩阵和期望。通过将期望矩阵与资源能力矩阵进行复合，可以获得能力冗余。将冗余视为候选者并将过程步骤视为活动，将冗余的最小总和作为目标值，匹配成为一个特殊的分配问题。增加虚拟工作，用正数代替负数，可以将特殊分配问题转换为一般分配问题，通过“匈牙利算法”实现匹配结果。调整数据库的期望值或层次结构，以这种方式重复匹配，可以获得许多处理路径。最后，通过数值算例验证了该方法的有效性。

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