Workflow-KNIME

<p><strong>Manufacturing Demand Forecasting</strong></p><p>This workflow performs time series forecasting on automotive product demand for a manufacturing company using SARIMA models. The dataset contains historical data (2020-2024) on weekly produced quantities for three different products (winter tires, A/C compressors, and windshield wipers), the date stamp, as well as additional manufacturing information (e.g., the production value, scrap rate, plant temperature, etc.). The goal is to help the manufacturer accurately forecast the quantities to produce in order to avoid out-of-stock events and empty shelves for customers.</p><ul><li><p>The workflow accesses the dataset, allows product selection, aggregates values to weekly granularity, and visually explores the time series.</p></li><li><p>Splits data into training (2020–2023) and testing (2024), trains SARIMA models, and generates forecasts.</p></li><li><p>Finally, it joins results, extends forecasts into 2025–2026, and visualizes/scores performance with metrics and plots.</p></li></ul>