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The SST Mid-Term Planner is a comprehensive software covering a six-month planning horizon and supporting resource management, forecasting and decision making. It helps anticipating and managing potential bottlenecks, optimising resource allocation and aligning production capabilities with market demands.
The SST Mid-Term Planner encompasses the entire production process, from raw material procurement to the delivery of finished products. A critical element is managing scrap availability, as variations in quality and composition can significantly impact efficiency and final product quality. Effective planning ensures that the appropriate quality and quantity of scarp are available, reducing the risk of production delays and quality issues.
The visualization of material flows across the whole production cycle enables to gain deep knowledge about the producibility of the current order book and utilization of equipment inside the plant.
The visualized distribution of slabs gives a concise overview about the rollability of the inventory at a given point in time and supports more well-informed decision making.
Additionally, mid-term planning serves as a forecasting tool, predicting future orders through close coordination with sales and marketing teams and analysis of historical data, using statistical tools or artificial intelligence (AI) models. By forecasting demand, companies can plan their production schedules more accurately, ensuring they meet customer needs without overextending resources. Moreover, mid-term planning helps balance production schedules, preventing overproduction of certain grades or types of steel, which can lead to inventory build-up and increased storage costs.
A significant feature of the SST Mid-Term Planner is the ability to simulate ‘what-if’ scenarios. These simulations allow our customers to explore the potential impacts of various decisions, such as changes in order volume, shifts in market demand, or equipment maintenance schedules. By modeling these scenarios, companies can better anticipate potential challenges and make informed decisions to optimize production outcomes.
