摘要
产品数据管理(PDM)实施过程中PDM产品的选型是非常重要而且关键的一步,传统的PDM选型方法是以定性的选型方法为主。本文将层次分析法(AHP)和模糊数学(FM)应用于PDM选型,将两种方法结合起来,形成PDM选型决策支持系统的核心算法。基于层次分析法和模糊数学的PDM选型决策支持系统可为企业实施PDM过程中选型提供决策支持,使企业能够正确客观地根据其需求进行PDM选型,从而避免由于选型不当而造成PDM实施的失败。
Product data management(PDM) selection is one very important and key step during PDM implementation.Traditional method of PDM selection is mainly qualitative.The key algorithm was formed by introducing analytic hierarchy process(AHP) and fuzzy mathematics(FM) to PDM selection.The research and implementation of decision-making system of PDM selection can provide decision-making for enterprise and enable it to select proper PDM product according to its requirements,thus avoiding the failure of PDM implementat...
出处
《机床与液压》
北大核心
2006年第11期69-71,共3页
Machine Tool & Hydraulics
关键词
产品数据管理
PDM选型
层次分析法
模糊数学
Production data management
PDM selection
Analytic hierarchy process
Fuzzy mathematics