Development of a quantitative impact model for calculating the schedule reliability of industrial manufacturing processes

开发用于计算工业制造过程进度可靠性的定量影响模型

基本信息

批准号：
247646396
负责人：
Professor Dr.-Ing. Peter Nyhuis
金额：
--
依托单位：
Institut für Fabrikanlagen und Logistik (IFA)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2013
资助国家：
德国
起止时间：
2012-12-31 至 2016-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/247646396?language=en
关键词：
Development quantitative impact model calculating

项目摘要

The logistic performance and in particular the schedule reliability of a production system is still a major competitive factor for industrial enterprises. Despite of the vital significance, many companies still face problems achieving their target schedule reliability. The reason lies within the numerous factors influencing the schedule reliability as well as the complex interdependencies in logistic systems.Describing logistic relationships by the use of models provides a simple and practical way for designing a logistic system. Factors influencing the schedule reliability are systematically structured and their impact on schedule reliability is described in terms of quantitative, mathematical equations. By applying this model, it is possible to find the most effective measure for increasing the schedule reliability. Furthermore, it is possible the estimate the effect of the measure on the schedule reliability before implementing the measure.Therefore, the target of the submitted research project is to develop a quantitative impact model describing the lateness of manufacturing orders of a single production system. The model calculates the empirical distribution of the lateness of the processed manufacturing orders. The input for the model is e.g. the sequencing rule, the work in process, or the backlog. Combining multiple models will allow describing the evolution of lateness in any logistic network.

物流绩效，尤其是生产系统的日程可靠性仍然是工业企业的主要竞争因素。尽管具有至关重要的意义，但许多公司仍然面临实现目标日程可靠性的问题。原因在于影响时间表可靠性以及逻辑系统中复杂的相互依赖性的众多因素。通过使用模型来描述逻辑关系，为设计逻辑系统提供了一种简单且实用的方法。影响时间表可靠性的因素是系统性结构化的，其对时间表可靠性的影响是用定量，数学方程式来描述的。通过应用此模型，可以找到提高时间表可靠性的最有效措施。此外，在实施措施之前，可能会估计该度量对时间表可靠性的影响。因此，提交的研究项目的目标是开发一个定量影响模型，描述了单个生产系统的制造订单的迟到。该模型计算了处理后制造订单的迟到的经验分布。该模型的输入是测序规则，过程中的工作或积压。组合多个模型将允许描述任何逻辑网络中迟到的演变。