工业工程 ›› 2024, Vol. 27 ›› Issue (1): 155-164.doi: 10.3969/j.issn.1007-7375.220174

• 供应链管理与决策 • 上一篇    

共享制造环境下基于Z-RIM的QoS多方异质评价方法

刘明明, 袁琦, 禹春霞   

  1. 中国石油大学 (北京) 经济管理学院,北京 102249
  • 收稿日期:2022-09-05 发布日期:2024-03-05
  • 通讯作者: 禹春霞 (1983—),女,山东省人,教授,博士,主要研究方向为智能决策与优化。Email:cxyu@cup.edu.cn E-mail:cxyu@cup.edu.cn
  • 作者简介:刘明明 (1987—),男,山东省人,副教授,博士,主要研究方向为决策与优化、企业战略
  • 基金资助:
    国家自然科学基金资助项目 (72271244);教育部人文社科青年基金资助项目 (19YJCZH106)

A Multi-party Heterogeneous Evaluation Method for QoS Based on Z-RIM in Shared Manufacturing

LIU Mingming, YUAN Qi, YU Chunxia   

  1. School of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China
  • Received:2022-09-05 Published:2024-03-05

摘要: 为解决共享制造环境下决策信息异质、候选服务数量动态变化的制造服务QoS评价问题,基于平台、服务需求方、服务提供方的三方决策信息,提出一种符合共享制造特点的QoS多方异质制造服务评价方法。通过精确数、语言变量和Z-number处理异质信息;基于共识最大化计算决策方权重向量,利用TrFWAA算子集结多方信息,依据离差最大化模型计算属性权重;在此基础上,采用RIM对各服务进行评估。结合共享制造环境下的制造业服务优选案例对提出的方法进行验证分析,结果表明该方法具有较好的实用性和优越性。

关键词: 共享制造, Z-number理论, 参考理想法 (RIM), 群决策, QoS评价

Abstract: In order to solve the problem of QoS evaluation for manufacturing services with heterogeneous decision information and dynamic changes in the number of candidate services in shared manufacturing, this paper proposes a multi-party heterogeneous evaluation method for QoS in manufacturing services that conforms to the characteristics of shared manufacturing based on the tripartite decision information of the platform, service demanders and service providers. First, heterogeneous information is processed through crisp numbers, language variables and Z-number theory. Second, the weight vector of the decision maker is calculated based on consensus maximization, while the attribute weight is determined based on the dispersion maximization model after using the TrFWAA operator to gather multi-party information. On this basis, RIM is used to evaluate and rank each service. Finaly, the proposed method is verified and analyzed through a case study of manufacturing service optimization in the shared manufacturing condition. Results show that the method has good practicality and superiority.

Key words: shared manufacturing, Z-number theory, reference ideal model (RIM), group decision-making, QoS evaluation

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