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A machine tool equipment resource supply and demand matching method based on a grey correlation algorithm under multivariate quality constraint

A quality-constrained, gray-associated technology, applied in resources, computing, data processing applications, etc., can solve problems such as complex mapping relationships and difficult intelligent matching of supply and demand

Pending Publication Date: 2019-05-07
CHONGQING UNIV
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Problems solved by technology

Therefore, the mapping relationship between the cloud service quality demand model and the machine tool equipment resource capability model in the cloud manufacturing environment is more complicated, and its supply and demand intelligent matching technology is more difficult

Method used

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  • A machine tool equipment resource supply and demand matching method based on a grey correlation algorithm under multivariate quality constraint
  • A machine tool equipment resource supply and demand matching method based on a grey correlation algorithm under multivariate quality constraint
  • A machine tool equipment resource supply and demand matching method based on a grey correlation algorithm under multivariate quality constraint

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Embodiment Construction

[0053] Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0054] figure 1 is a seven-dimensional quality requirement model for cloud manufacturing services, such as figure 1 It shows that the seven-dimensional quality requirements such as time T, quality Q, cost C, technical performance P, service reliability R, service security S, and service flexibility F are not independent, but are interrelated. Among them, time T, quality Q, and cost C, as the components of cloud manufacturing service quality requirements, have been studied and analyzed by many researchers, and will not be elaborated here. In view of the characteristics of cloud manufacturing service "centralized service of decentralized resources", the present invention incorporates technical performance P, service reliability R, service security S, and service flexibility F into the consideration dimension of cloud manufacturing service ...

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Abstract

The invention discloses a machine tool equipment resource supply and demand matching method based on a grey correlation algorithm under multivariate quality constraint, and belongs to the technical field of intelligent manufacturing. The method is characterized in that A machine tool equipment cloud service quality demand model with seven-dimensional components of a technical performance (P), Service time (T), Quality of service (Q), Service cost (C), Service reliability (R), service safety (S) and service flexibility (F) is established;a six-dimensional machine tool equipment resource cloud service capability model including production and processing capability, material supply capability, personnel configuration capability, technical support capability, environment matching capability and information support capability are established; and each capability index is quantitatively evaluated; On this basis, A mapping relation between a machine tool equipment cloud service demand model andthe service capability model is established, a machine tool equipment resource supply and demand matching model under multivariate quality constraint is provided, and a model solving algorithm basedon grey correlation degree is designed. The invention aims to solve the problem of supply and demand matching of machine tool equipment resources with multivariate quality constraints in a cloud manufacturing environment, and provides a feasible optimal solution for the supply and demand matching of the machine tool equipment resources.

Description

technical field [0001] The invention relates to a method for matching supply and demand of machine tool equipment resources based on a grey relational algorithm under multiple quality constraints, and belongs to the technical field of intelligent manufacturing. technical background [0002] In the cloud manufacturing environment, the supply and demand matching process of machine tool equipment resources is essentially an intelligent matching process of machine tool equipment resource capabilities under the condition that the diversified quality requirements of the cloud manufacturing services carried are met. On the one hand, since the operation quality of such cloud services directly affects the responsiveness and market share of production orders of enterprises, when enterprises seek the optimal machine tool equipment resources in the cloud manufacturing service platform, the operation requirements for their service capabilities are more diversified. Including time, qualit...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
Inventor 尹超韦武杰方志伟龚小容潘立高许加晟石志立
Owner CHONGQING UNIV
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