The Challenge: Optimizing the value of data plant-wide
Today's process industries invest billions of dollars annually compiling, organizing, storing and refining process data. The data covers all aspects of operations, from scheduling to production and shipping. As part of complex data environments, process enterprises are also implementing production management systems, distributed control systems (DCS), enterprise resource planning (ERP) systems and supply chain systems. These investments deliver greatest value only if they are integrated with up-to-date, reliable plant and process data.
Current and historical operating data is everywhere throughout the process enterprise. Yet data is valuable only to the extent it can be accessed, utilized and transformed into meaningful information. The challenge for process industries is to enhance data flow and data access plant-wide; to integrate data from yesterday with data from today; and to fully leverage data for collaboration and real-time decision-making. Only then can process companies optimize their production efficiencies and bottom line performance.
The Opportunity: Using information for all it's worth
In the networked economy, information management is critical. From data flowing out of the plant to information circulating in the extended supply chain, the effective management of information can mean dramatic economic value to the enterprise and its customers. The MES (Manufacturing Execution System) Business Unit of Hyperion provides solutions that standardize production information environments across business units facilitating data sharing and consistency in decision making throughout their enterprises. With improved utilization of information comes the opportunity to improve underlying manufacturing processes for more efficient operations.
Information management is achieved using a real-time database system that provides applications development and systems integration capabilities. Its inherent modularity and salability enable it to support advanced control and optimization, process modeling, batch analysis, quality assurance and scheduling applications in industries ranging from consumer packaged goods to hydrocarbon processing. In complex data environments, it provides an integrated solution for visualization and control of process information. It effectively links the plant floor with production management systems and seamlessly integrates real-time and historical information to present a unified view of plant operations.
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