PLANT MANAGEMENT
data visualisation platforms on the market in a web application with desktop power and performance. By being able to easily trace the source of operational
problems, it is possible to considerably improve the overall asset effectiveness by benchmarking performance baselines and ranking assets according to improvement priorities. Overall equipment effectiveness (OEE) functionalities track asset availability, utilisation and product quality issues.
GREATER VISIBILITY Being able to predict, manage, control and monitor production behaviour is the key to successful manufacturing. Users of big data are increasingly challenged with too many manual processes and having to cope with enormous volumes of information. Greater visibility of what is happening to the plant enables operational staff and management to make decisions knowing that they have up-to-the-minute data, which is contextualised, analysed and documented in a meaningful way and that maps to the core manufacturing goals. Data management is fundamental to production
performance. Many companies standardise on MES solutions to aggregate process, production and business information into a cohesive context with fast data discovery tools, automated workflow and order tracking, as well as extensive analytical, notification and visualisation capabilities. Covering all aspects of the ISA-S95 activity model, manufacturers are able to easily exchange real- time information between the shop floor and the rest of the enterprise to create actionable intelligence and optimise manufacturing excellence. The end result is lower operating costs, reduced variability and improved asset utilisation that increase bottom line profitability. As manufacturing environments become more
complex, it is important to understand the functions of different technologies and how they interact with each other. Crucially, data historians provide current and historical manufacturing information to plant operations and enterprise personnel. Process data gets released to the MES, which contains vital detailed manufacturing information that shows how the plant is behaving. All target recipe data and all actual data from production is captured by the MES for analysis, reporting and higher level performance management. Historians, such as AspenTech’s Aspen InfoPlus.21, are architected to pull data from a variety of systems and across multiple levels. The data historian collects and stores large volumes of real-time and historical data from process control, manufacturing operations, lab systems and business systems, which form the foundation for an enterprise-level platform. Due to their excellent analytical capabilities, historians can be used for the short term, but excel at managing over longer time horizons. AspenOne Process Explorer (a1PE) is an intelligent solution to access, visualise, analyse and monitor plant
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operations data that is thin client and device agnostic. It provides secure access without requiring client-side software installation. Data in context improves the effectiveness of process analysis and troubleshooting and a1PE creates that context by overlaying process data with product characteristics, alarms, graphics, events, comments and annotations. Users can choose between desktop, laptop, tablets and smartphones to keep connected to their production data. The software enables desktop visualisation in a web and mobile environment. Searching within a1PE finds data by production segment, event or batch within a single tool. Importantly, it understands batch variability over time, within batch and batch-to-batch more easily and produces dashboards tailored for different users’ needs within minutes.
MES deliver powerful capabilities by
providing automated workflows and order tracking to facilitate improved consistency, better production tracking and reduced errors. Consistent, repeatable work processes maximise the efficiency of the production asset. Effective data management eliminates
AspenTech software allows users to access, visualise, analyse and monitor plant operations data
erroneous information and delivers deeper, real-time insights into asset conditions. Automation is key in transforming the way manufacturers maintain and control their systems. With integrated MES, operators can contextualise
data into meaningful information that will help them to conduct comprehensive analyses, easily troubleshoot and take timely corrective actions. Bringing data to life and having a complete view of plant operations helps operators to make the best use of global assets, which drives efficient plant performance. Progressive manufacturers embrace smart technologies to seamlessly integrate physical and digital systems. It is in their DNA. As they transform their businesses, integrated technology helps them achieve excellence in execution, together with consistent and predictable performance. n
Robert Golightly is with AspenTech.
www.aspentech.com
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