COMPARISON OF MANUFACTURING RESOURCES IN CLOUD MANUFACTURING ENVIRONMENT

Abstract

With the introduction and application of new information technology in manufacturing, various
advanced manufacturing models and national strategies have received more and more attention. The goal of
cloud manufacturing is to closely link the resources and capabilities of manufacturers through a variety of
services to create a dedicated platform for complex manufacturing process needs. How to achieve effective
matching of various manufacturing resources and capabilities in the form of services will be a common problem
in the future. In order to effectively improve cloud manufacturing tasks and resource matching efficiency and
save resources, this study considers the common aspects of cloud manufacturing resource matching as service
quality indicators, and extends the scope to the requirements of manufacturing resources, and the matching
pattern of traditional service resources. There are additional restrictions on the resource service matching
process. At the same time, the resource service matching is usually asymmetric. Therefore, we introduce the
concept of task complexity of demand resources, and propose a combination system based on task complexity
and service quality evaluation. The artificial bee colony algorithm (ABC) is used for analysis and verification.
The experimental paper further validates the proposed the feasibility and efficiency of the method.