A Mathematical Model for Task Scheduling in Cloud Manufacturing Systems focusing on Global Logistics

Abstract

By emerging modern technologies and novel concepts in recent decade a revolution has been introduced, known as Industry 4.0 in modern manufacturing systems. In this revolution, cloud manufacturing has a critical role as a major pillar. The idea behind the cloud manufacturing concept is establishing a cloud manufacturing platform, which aggregates distributed manufacturing resources, then transforms them into manufacturing services, and manages them in a centralized manner. One of the critical aspects of this centralized management is scheduling of the tasks. The scheduling problem of single/multiple tasks is previously considered in cloud computing transactions, but the structure of this problem is different in cloud manufacturing, regarding logistic aspects. In this paper, a brief review over the prior researches related to the task scheduling in cloud computing and cloud manufacturing is presented. This model is capable of addressing to main types of sharing in cloud manufacturing systems known as operation sharing and logistic sharing. Next, the paper presents a basic model for task scheduling problem in cloud manufacturing systems; and by using an illustrative example the validation and verification of the proposed model are examined. Finally, the paper discusses the results, concludes the remarks and presents the roadmap of the future researches.