The company’s polymer mixing process was producing output of inconsistent quality, with yields sometimes dipping as low as 50% or 60%. The scrapping of poor batches created huge costs and was crippling production capacity. The root cause was traced to ever-changing product specifications, in addition to variations in a range of production parameters. Production engineers were unable to stabilize the process using traditional approaches as mixing polymer was stubbornly unstable and each new product formulation only exacerbated the problem. To solve this issue, this global manufacturer needed a solution that provided the following capabilities: • Ingest and integrate Internet of Things (IoT) data from machinery, sensors, the environment and other sources • Discover the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms • Provide deep process insight, enabling daily decision support and continuous improvement • Dynamically and continuously optimize the process through machine learning

“The demands made on modern IT environments that guarantee access to company data from any location, at any time, have risen dramatically within a few years,” says Gregor Kremsmüller, CMO and executive board member of Kremsmüller Industrieanlagenbau KG. The challenge was to share business data securely. High data mobility is necessary to transfer data between branches (Romania, Russia, Abu Dhabi, Turkey), suppliers and customers. Recognizing that data mobility is a critical success factor for business, Kremsmüller opted to continue its successful cooperation with Hitachi Data Systems to construct the solution.