Abstract: Efficient job scheduling plays a crucial role in improving productivity, reducing operational costs, and optimizing resource utilization in modern companies. Organizations often handle multiple tasks simultaneously across limited resources such as processors, employees, or machines. Improper scheduling may lead to increased waiting time, resource conflicts, reduced throughput, and missed deadlines. This research presents a Job Scheduling Simulator for Companies based on classical and advanced scheduling algorithms. The system simulates real-world task allocation scenarios using algorithms such as First Come First Serve, Shortest Job First, Priority Scheduling, and Round Robin. The simulator evaluates performance metrics including waiting time, turnaround time, throughput, and CPU utilization. The developed application provides a graphical interface for dynamic job input and real-time performance analysis. Experimental results demonstrate that algorithm selection significantly influences system efficiency and resource optimization. The proposed simulator serves as an educational and practical tool for analyzing scheduling strategies in corporate environments.

Keywords: Job Scheduling, CPU Scheduling, Simulation, Resource Allocation, Performance Metrics, Optimization, Operating Systems.

Downloads: | DOI: 10.17148/IARJSET.2026.13245