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

• Published in: Industrial Engineering and Management Systems
• Main Author: Purnamawati I.G.A.; Oudah A.Y.; Othman H.B.; Ibrahim I.B.; Iswanto A.H.; Komariah A.; Sergin A.A.; Hasbi I.; Mustafa Y.F.
• Format: Article
• Language: English
• Published: Korean Institute of Industrial Engineers 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140658123&doi=10.7232%2fiems.2022.21.3.468&partnerID=40&md5=c45c1cd02cdac67634e79198bc8e9348

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. © 2022 KIIE.