Smart poly ipf midih-presentation oc2
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Smartpoly specializes in handling systems for flexible polyurethane foam production and offers technical solutions to enhance efficiency and quality in manufacturing. The current challenges involve poor process monitoring and correlation between parameters and final product features, which the proposed solution aims to resolve through data connectivity and visualization. Key performance indicators (KPIs) target improvements in pouring efficiency, density distortion, and block dimension distortion to ensure optimal production outcomes.
Smart poly ipf midih-presentation oc2
- 2. 1. Brief Company introduction 2. AS-IS scenario, challenge, problem to be solved 3. TO-BE scenario and description of the experiment workflow 4. Architecture and technical details 5. KPIs & Business impact Content of the presentation
- 3. Main Products • Handling systems for the production of flexible Polyurethane Foam • Sensors for the manufacturing of flexible foam • Automatizing existing foaming plants Main services • Design and development of polyurethane manufacturing plants • Connecting your foam foactories the company
- 4. ...Since 27 years Handling Systems Factory and Process design the company
- 5. Process Sequence 1. Raw Material Tanks 2. Foaming 3. Curing 4. Storage 5. Cutting 6. Dispatch As Is Scenario 1 2 3 4 5 6
- 6. • The manufacturer cannot monitor and visualize all the parameters during the process • Correlation between parameters of the process and the features of the final product are not always clear • Efficiency of the process and quality of the final products are hardly controlled • Waste of material and product not always in line with the planification of production As Is Scenario
- 7. is a solution to connect your factory to transform process data into high value information to improve efficiency, quality, consistency and control of your process Technology Process o Efficiency o Quality o Control To BE Scenario
- 8. C C RAW MATERIALS FOAMING AREA HANDLING AREA CUTTING AREA MAIN CONTROL To BE Scenario
- 9. Visualization - Factories - Machines - Reports - Real Time Management - Clients & Users - Parameters - Factories - Machines - Data Multi-device - Desktop - Tablets - Smartphones The data collected to visualize and manage the manufacturing process: - Width, height, length (dimensional data) - Temperature - Pressure - Humidity - Artificial vision - Pinhole average - Foaming Mixer Characteristic Frequencies - Curing time - Warehouse status - Foaming speed - Foam density - Raw material tanks status - Crane status - Temperature supervisor - Cutting conditions and speed - Stacking conditions To BE Scenario
- 13. Architecture
- 14. KPI Description Value Pouring Efficiency Pouring efficiency is the ratio between the value of the daily production measured as the sum of the foam slices and the value provided by the foaming machine. +4% Density Distortion The density distortion is the ratio between the deviation of the real value of the density from the set value and the set density: Real density – SET Density|/SET Density -5% Block Dimension Distortion The block dimension distortion is the ratio between the deviation of the real value of the block dimension from the set value and the set block dimension: |Real Area – SET Area|/SET Area -5% Cavitation Index Deviation Cavitation Index/SET Cavitation Index Cavitation is an index useful to measure the quality of polyurethane block. -3% KPI Process
- 15. THANK YOU!