Automatic Production Planning and Scheduling of Size

20 Dec

Automatic Production Planning and Scheduling of Size

Authors- Professor Dr. Ramesh Sengodan, Naveen K S, Karthik K, Akshata

Abstract-Efficient production planning and scheduling are critical components of any manufacturing process, especially in industries dealing with high demand and varying product sizes. This paper proposes an Automatic Production Planning and Scheduling System (APPS) aimed at optimizing the production workflow by leveraging automation and advanced scheduling techniques. The system is designed to streamline the planning process by taking into account the quantity of products booked by distributors, marketing agents, and other clients. These bookings, made in advance either a week or a month prior serve as the foundation for the production schedule. The proposed system categorizes orders based on product sizes to allocate resources such as production machines and human labour effectively. By automating these processes, the system minimizes human error and improves efficiency. Production managers can create a detailed plan that aligns with these requirements, ensuring smoother execution and reduced downtime. A key feature of the system is its ability to provide a graphical representation of completed and pending orders, offering real-time visibility into production progress. This graphical view is generated using company data and serves as an intuitive dashboard for stakeholders to monitor the production lifecycle. Schedulers integrated with the system utilize cron jobs to automatically pick up orders, segregate them by size, and execute the production plan. Additionally, the system incorporates demand forecasting capabilities to predict future requirements, enabling proactive decision-making and resource allocation. By automating the planning and scheduling process, this system enhances production accuracy, reduces manual intervention, and accelerates order fulfilment, leading to improved customer satisfaction.

DOI: /10.61463/ijset.vol.12.issue6.405