Research On Resource Scheduling Problem And Development Of Cloud Scheduling Platform In Cloud Manufacturing Environment

With the continuous development of economic globalization,the manufacturing industry is also showing a global trend.The various stages of the manufacturing process or the processing and manufacturing of various components of a product may be distributed in multiple regions of the world.The concept of "cloud manufacturing" Proposed in this context.The core content of "cloud manufacturing" is to realize cross-regional and cross-enterprise collaborative manufacturing,solve the problem of uneven distribution of industry resources and low resource utilization,and integrate the concept of "cloud computing" to provide collaborative manufacturing for manufacturing.The way to achieve.Co-manufacturing cloud platform is a specific way to realize "cloud manufacturing".Cloud platform integrates and virtualizes the resources of manufacturing industry.Enterprises with resource shortages obtain the required resources from the cloud platform according to actual needs,which fully solves the resource distribution in manufacturing Unevenness and low utilization rate.In order to improve the manufacturing efficiency and reduce manufacturing costs under this cross-enterprise and cross-region production model,this paper studies the resource scheduling problem in the cloud manufacturing environment and builds a collaborative manufacturing cloud scheduling platform.The main contents are as follows:(1)The cloud manufacturing resources are divided into six categories of equipment resources,logistics resources,material resources,human resources,knowledge resources and software resources according to their attribute characteristics.Based on the introduction of tuple method to complete the virtual description of manufacturing resources.(2)Considering the geographical problem of resources when constructing the mathematical model of cloud scheduling,logistics time and logistics cost are introduced into manufacturing time and manufacturing cost,and the total time,total cost and average service quality are selected as the optimization goals;for NSGA-? In terms of global search and other shortcomings,an improved NSGA-? algorithm is proposed,a population initialization method based on the uniform design method is designed,an improved championship selection method is proposed,and the crossover operator and mutation operator are adaptively improved.The target standard test function and the three-target standard test function verify the superiority of the improved NSGA-? algorithm;in addition,the improved NSGA-? algorithm is also applied to the cloud scheduling problem example of the bridge crane truck part and the standard Compared with the NSGA-? algorithm,the production efficiency of the improved cloud scheduling strategy is 10.89% higher than that before the improvement,the total production cost is saved by 5.43%,and the average quality of service is increased by 0.74%.The superiority in the question.(3)Based on cloud manufacturing resource virtualization and improved NSGA-? algorithm to solve cloud scheduling problems,Dreamweaver CS6 is used to design and build a collaborative manufacturing cloud scheduling platform with B / S architecture,which can realize the upload and management of manufacturing resources and manufacturing tasks The upload and management of the cloud and the online generation of cloud scheduling solutions.