Cloud manufacturing resource service optimization scheduling method based on fuzzy multi-objective optimization

Abstract

The invention provides a cloud manufacturing resource service optimization scheduling method based on fuzzy multi-objective optimization. The cloud manufacturing resource service optimization scheduling method comprises the steps that step 1, a service demander proposes project requirements; step 2, project task decomposition is performed; step 3, candidate resources are determined; step 4, cloudresource scheduling is performed; step 5, service selections are made based on a scheduling result.: corresponding services are selected according to a production scheduling scheme and operation is performed; step 6, user evaluations are made: the service demander evaluates the scheme after the task solution is executed; step 7, scheduling information is sorted into a database by storing the scheduling information and the user information into the database for next use. A fuzzification mechanism is added in the multi-objective optimization process to carry out fuzzification processing on service reliability evaluation. Therefore, the whole scheduling process finds the optimal scheduling combination scheme faster, and the technical problem that enough good service support cannot be providedfor the service demander due to narrow resource acquisition surface and opaque resources in the traditional manufacturing scheduling process is solved.

Description

technical field [0001] The invention relates to a method for optimal allocation and utilization of various resources in the manufacturing industry, specifically a method for optimal scheduling of cloud manufacturing resource services, which belongs to the technical field of the Internet and manufacturing. Background technique [0002] Cloud Manufacturing (Cloud Manufacturing, CMF) is a new mode of deep integration of the Internet and manufacturing. And use intelligent methods and means to manage and operate, to realize the optimal allocation and utilization of various resources in the manufacturing industry. The service provider publishes the resource encapsulation process to the cloud platform, and the cloud platform analyzes the needs of the service requester to provide personalized services. Compared with the traditional manufacturing model, cloud manufacturing can reduce geographical constraints on production, maximize the utilization of manufacturing resources, increas...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing cloud manufacturing resource service scheduling technical scheme lacks the consideration of inaccurate service quality evaluation caused by users due to knowledge limitations, and also lacks the consideration of cross-regional manufacturing resource scheduling and manufacturing task product parts. Considering the constraints of the process, in order to overcome the shortcomings of the existing technology, a cloud manufacturing resource service optimization scheduling method based on fuzzy multi-objective optimization is provided

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