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基于云-TOPSIS-灰关联分析模型的产品服务系统方案评价技术

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方案评价是产品服务系统设计的关键环节之一,评价结果的合理性对企业发展至关重要。基于最小平方和法,构建了云-TOPSIS-灰关联分析模型,对产品服务系统方案进行评价。引入云模型和相对偏好关系量化离散型指标,解决专家评价的模糊性和随机性问题。运用TOPSIS灰关联分析法确定正、负理想灰关联系数矩阵,集成指标权重和正、负理想灰关联系数矩阵建立正、负理想加权灰关联系数矩阵,兼顾了几何方案序列曲线的位置接近度和形状相似度。运用最小平方和法求解灰关联投影系数,确定方案排序。以某农业装备企业拖拉机产品服务系统方案评价为实例,验证了所提模型的科学性和可行性。
Product service system scheme evaluation technology based on cloud-TOPSIS-grey correlation analysis model
Scheme evaluation is one of the key links of product service system design.The rationality of evaluation results is very important for the development of enterprises.Based on the least sum of squares method,cloud-TOPSIS-grey correlation analysis model is constructed to evaluate the product service system scheme.Cloud model and relative preference relation were introduced to quantify discrete indexes to solve the problems of fuzziness and randomness in expert evaluation.The positive and negative ideal grey association coefficient matrices were determined by TOPSIS grey association analysis method,and the positive and negative i-deal grey association coefficient matrices were established by integrating index weights and positive and negative ideal grey associ-ation coefficient matrices,taking into account the position proximity and shape similarity of corresponding geometric scheme se-quence curves.The least sum of squares method was used to solve the grey correlation coefficient and determine the scheme rank-ing.Taking the project evaluation of tractor product service system in an agricultural equipment enterprise as an example,the sci-ence and feasibility of the proposed model were verified.

product service systemprogram evaluationcloud modelTOPSIS grey association analysis

吕锋、张淑萍、刘芬、冯壮壮、高鸣

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河南科技大学机电工程学院,洛阳 471003

第一拖拉机股份有限公司制造工程中心,洛阳 471003

产品服务系统 方案评价 云模型 TOPSIS灰关联分析

国家重点研发计划项目河南省高等学校重点科研计划项目

2020YFB171350020B410002

2024

现代制造工程
北京机械工程学会 北京市机械工业局技术开发研究所

现代制造工程

CSTPCD北大核心
影响因子:0.374
ISSN:1671-3133
年,卷(期):2024.(2)
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