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机构地区:[1]哈尔滨工业大学管理学院管理科学与工程系,哈尔滨150001
出 处:《系统工程理论与实践》2007年第4期54-61,共8页Systems Engineering-Theory & Practice
基 金:国家自然科学基金(70071008)
摘 要:时间、成本、产量、资源利用率及等待队列长度等是常见的企业业务过程性能分析指标.它们为识别关键流程,分析过程瓶颈,及验证模型可行性等提供了重要的数据支持.然而在业务的实际执行过程中,过程实例往往不能完全按照企业预定义模型执行,即二者间存在差异.这种差异不仅会降低过程执行效率,且也将影响企业生产效益.而在目前的过程分析方法中缺乏用于计算这种差异的指标及分析方式.对此,基于生物信息学中的序列比对思想,提出一种用于衡量及分析此差异的技术及研究框架,即过程评价技术,并定义偏差度作为量化指标;同时,针对不同使用条件设计四种偏差度计算方法,并进一步给出基于偏差度的业务过程分析方式.Time, cost, output, resource usability and waiting sequence length are the common performance indicators to analysis enterprise business process. These indicators provide important data support to recognize critical process, analyze process bottleneck and verify model feasibility. During the process execution process instances can't entirely conform to the predefined process model, which is there are differences between them. The difference not only reduces the efficiency of process execution but also affect the output benefit. However, in the current process analysis methods there are short of indicators weighing the difference and analysis methods. To solve it, a research technology and system to weigh and analyze the difference is developed based on sequence alignment idea of bioinformatics, namely process evaluation, and deviation degree is defined as a measurable indicator. At the same time the four methods of weighing the deviation degree are designed according to the different situations, furthermore process analysis methods based on the deviation degree are given.
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