DCN June 2016 - Page 23

Big Data & IoT the calculation, contextualisation and storage of operational Key Performance Indicator (KPI) metrics. This enabled the manufacturer to access intuitive real time management dashboards, allowing them to monitor energy consumption in the context of each site, line and even, operator. This allowed them to isolate previously unidentified spikes in consumption and immediately take action to resolve them. After the success of the pilot, Wonderware Intelligence is now being rolled out globally. The way an ever increasing number of companies are beginning to understand energy data is indicative of a broader trend towards using operational data in innovative ways. It is predicted that Operational Intelligence will continue to develop at pace as senior decision makers become aware of what is now possible with the latest tools and how valuable they are to their businesses. It will become common practice that CEOs and the like will expect to be able to get high level insight into operational Key Performance Indicators in the same way they do for systems such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP). The next step for the industry will see data from various niche manufacturing systems such as Manufacturing Execution Systems, Supervisory Control and Data Acquisitions, Maintenance Management Systems and Laboratory Information Management Systems, aggregated together. This can then be manipulated and analysed using accessible browser based, sliceand-dice enabled technologies such as Wonderware Intelligence and Wonderware Corporate Energy Management. This will become commonplace and allow those running businesses to see energy usage across the production process and how that data tracks back to the bottom line. Additionally, Operational Intelligence can deliver valuable insight into other areas of the manufacturing process, providing further cut-through for a host of other efficiencies outside of energy usage. With greater access to data on batch and quality management, manufacturers are able to ensure that productivity remains high, which in turn can help reduce surplus energy consumption. Consistency and compliance Wonderware solutions allow the monitoring and controlling of quality in real time, improving product consistency and compliance with both internal specification and external regulations. Again, this allows for performance abnormalities to be spotted instantly, ensuring that errors can be corrected and unscheduled downtime and other issues such as spoilage and wastage prevented. What’s more, these solutions can sit alongside other monitoring software and offer manufacturers scalable functionality, from entry level targeting specific elements of performance to full scope integrating with, and addressing, all levels of operations. Deriving intelligence from the analysis of data is a must for any organisation looking to become successful. This is especially true for manufacturers, who not only face a fight for survival from external challenges and competitors, but can often be up against other locations and plants within the same company which enjoy lower cost bases. The easy availability and analysis of data can transform the way a company works and enable manufacturers to better understand their plant, and predict and manage performance and expenditure. With so much of this data already available and locked in process data historians, accessing it is easier than you think. 23