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.