【摘要】 准确地计算中间产品加工工时定额是制定合理生产计划的基础。以前的工时定额数据主要来源于已建造的同类型船舶的数据积累,这种工时估算过多地依赖于人的经验,而且也没有针对中间产品族的加工单独给出工时定额。为适应中间产品的专业化生产,需要提供不同中间产品族生产的工时定额,作为制定中间产品族生产单元作业计划的依据。本文通过对部件特征的描述,划分出了部件加工族,并以一部件族为例,通过分析该部件族的典型部件生产过程,得到了部件生产工时定额的影响因素,并且应用BP神经网络建立工时定额和影响因素之间的映射关系,从而可以通过神经网络方便、准确地计算出该部件族中每个部件生产的工时定额。更多还原

【Abstract】 A rational production plan is based on accurate estimation on manhour of interim product. Previously, a new ship’s manhours are estimated from similar ship built before. But accuracy of the data depends on work’s experience. And they aren’t suitable for interim product cellular manufacture. So, we need manhours of all interim product cluster to make out a rational cellular production plan. After description of subassembly’s characteristics, subassembly families are obtained. As an example, work procedures of some typical subassemblies are analyzed, and effect factors to manhour ration of subassembly are got. And then the relationship between manhour rations and effect factors is established with BP artificial neural network. So manhour ration of each subassembly will be calculated efficiently and accurately.更多还原