并行工程中下游阶段启动时间的实时确定

在并行工程的实施过程中，上下游阶段交叠形式的不合理安排将会给产品的开发带来不可预见的风险。如何决定各并行阶段的启动时间一直是困扰实施并行工程企业的问题。对于这方面的研究工作目前大多只限于概念模型分析的层面，而没有具体的数学模型。中应用Shannon信息熵量化了上下游阶段的交互信息和系统的有序度，建立了基于多层次模糊综合评判和BP神经网络的动态模型来实时确定下游阶段的启动时间。最后给出了基于PDM的实施框架和该模型的应用实例。

QUANTITATIVE APPROACH TO REAL TIME STARTUP TIME DETERMINATION OF DOWNSTREAM PHASES IN CONCURRENT ENGINEERING

Implementation of simultaneous execution phases in the concurrent engineering (CE) needs careful planning when the downstream phase could be activated as the upstream phase developed to a certain point. The determination of startup time of overlapping jobs in CE has long been a disturbance in manufacturing industry implementing CE programs. A novel model based on both fuzzy logic and neural network is proposed to mathematically formulate the inter-connective information between the two coupled phases in CE projects, and to determine the startup time of downstream phases in real time. The information transferring between the two coupled phases is quantified by using the negative Shannon entropy. Based on this algorithm, a PDM-based framework is proposed to narrow the gap between pro-duct design and manufacture, in which five modules are built to monitor, reshuffle and implement the simultaneous executing processes. Finally, an example is given to illustrate applications of the algorithm in the real world.