云制造环境下机床装备资源选择方法

李海; 王伟; 范磊

doi:10.7527/S1000-6893.2019.23540

航空学报 >

2020 , Vol. 41 >Issue 7: 623540 - 623540

DOI: https://doi.org/10.7527/S1000-6893.2019.23540

先进制造技术与装备专栏

云制造环境下机床装备资源选择方法

李海 ,
王伟 ,
范磊

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电子科技大学机械与电气工程学院, 成都 611731

收稿日期: 2019-10-03

修回日期: 2019-11-11

网络出版日期: 2019-12-19

基金资助

国家科技重大专项（2017ZX04002001-002）

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Selection method of machine tool resources in cloud manufacturing environment

LI Hai ,
WANG Wei ,
FAN Lei

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School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Received date: 2019-10-03

Revised date: 2019-11-11

Online published: 2019-12-19

Supported by

National Science and Technology Major Project (2017ZX04002001-002)

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摘要

针对云制造环境下机床装备资源具有数量大、异质异构、服务制约因素多等问题，提出了基于多准则决策的机床装备资源选择方法。首先，利用本体论对机床装备资源建模，将物理资源虚拟化封装，实现虚拟资源与物理资源的逻辑映射。进一步地，使用语言变量量化决策者评估信息，采用模糊决策与试验评价实验室（FDEMATEL）和熵值法（EW）相结合的组合赋权法，引入模糊VIKOR（FVIKOR）多属性决策方法对机床装备资源进行综合评估，建立FDEMATEL-EW-FVIKOR的多准则混合决策模型。最后，将该方法应用于某生产制造企业，实验对比决策结果验证了多准则混合决策模型的可行性和有效性。

关键词： 云制造; 机床装备资源; 多准则选择; 资源建模与封装; 混合决策模型

本文引用格式

李海 , 王伟 , 范磊 . 云制造环境下机床装备资源选择方法[J]. 航空学报, 2020 , 41(7) : 623540 -623540 . DOI: 10.7527/S1000-6893.2019.23540

Abstract

Aiming at the issues of large amount, heterogeneous, and multi-service constraints of machine tool resources in cloud manufacturing environment, this paper proposes a novel selection method of machine tool resources based on multi-criteria decision making. Firstly, the ontology theory is used to model the machine tool resources, and the physical resources are encapsulated virtually to realize the logical mapping between virtual resources and physical resources. Moreover, the linguistic variables are employed to quantify the decision-maker's evaluation information. The combined weighting technique integrating the fuzzy decision-making and experimental evaluation laboratory (FDEMATEL) and the entropy weight method (EW) is developed to obtain the comprehensive weight. Then, the fuzzy VIKOR (FVIKOR) is introduced to perform a comprehensive evaluation of machine tool resources, and a hybrid multi-criteria decision-making model of FDEMATEL-EW-FVIKOR is established. Finally, the proposed approach is applied to a manufacturing factory. The feasibility and validity of the hybrid multi-criteria decision-making model are verified by the experimental decision results.

Key words： cloud manufacturing; machine tool resource; multi-criteria decision making; resource modeling and package; hybrid decision model

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