Resource Allocation and Task Scheduling in cloud computing Environment through Heuristic Algorithm

Abstract

Significant research has been carried out in the field of flexible manufacturing systems (FMS) planning, primarily focusing on established academic layout strategies. The selection process predominantly draws upon fundamental principles found in the intelligent system JSSE (workshop scheduling environment). However, there is limited existing literature on its specific application within an FMS context. This article seeks to examine the effectiveness of machine and AGV (Automated Guided Vehicle) scheduling models in optimizing the number of operations within an FMS, utilizing a Heuristic Algorithm (HA) approach. The methodology is assessed across a range of experimental conditions using an FMS simulation model that encompasses 40 different scenarios.