摘要
针对项目型制造企业面向客户需求进行产品设计时,传统的客户需求分析方法不能有效解决客户需求信息中贫信息不确定性、冗余交叉和主观性强等问题,提出一种基于灰色关联聚类和改进粗糙数理论的客户需求分析方法。首先根据客户行业特征划分客户群,利用熵权法计算其权重;其次运用灰色关联聚类定量表示需求项目间的关系,对客户群需求进行约简;然后改进了粗糙数理论,提出了面向项目型制造企业的客户需求重要度确定方法;应用结果表明该方法不仅具有简单易行、有效性高的特点,且能有效提高项目型制造企业设计人员的工作效率和客户满意度,提升企业差异化的竞争优势。
For project based manufacturing enterprise＇ s,traditional demand analysis methods are unable to solve the problems of small and uncertain sample,crossing redundancy and strong subjectivity in designing customer oriented product. Hence a demand analysis method based on the theory of grey relation clustering and improved rough number was put forward. First,customer groups were divided according to their industry characteristics,and their weight was calculated using the theory of information entropy. In addition,customer demands were reduced by using the theory of grey relation clustering. Then,a customer demand analysis method suitable for project manufacture enterprise based on improved rough number was proposed. Application results show that this method not only has the characteristics of high validity and strong feasibility,but also can effectively improve work efficiency and customer satisfaction of manufacture enterprise designers,and enhance their competitive advantages.
出处
《轻工机械》
CAS
2015年第4期100-105,共6页
Light Industry Machinery
基金
浙江省自然科学基金青年基金项目(LQ14E050004)
浙江工业大学自然科学基金重点项目(2013XZ005)
关键词
项目型制造企业
需求分析
灰色关联聚类
客户群
粗糙数
project manufacture enterprise
requirements analysis
grey relation clustering
customer group
rough number
