A Comprehensive Optimization Approach Based on Cloud Computing for Logistic Sharing System Planning

Abstract

Due to the global size of the production space and a large number of suppliers and service recipients, sequencing operations and logistics are very important in achieving optimal production system performance, reducing costs and reducing time. Since, in the cloud manufacturing space, each of the production activities of a product can be assigned to different resources in different places, logistics services are needed to communicate between these resources. Thus, the study aims to propose a model for a comprehensive optimization approach based on cloud computing for logistic sharing system planning. Given the results, regarding both operational services and logistics services in the cloud manufacturing system, in addition to the optimal allocation of activities and logistics services, it is possible to plan and schedule the sequence of operations and logistics to minimize the total cost of the cloud production system. Studies are also being conducted on sharing logistics systems in the cloud.