The industrial desktop-real time business and process analysis to increase productivity in industrial plants

Intelligent systems (IS) technologies have received much attention in a wide range of process engineering applications including process operations. Rapid change in applying the latest technologies has become a serious challenge to both management and technical teams. Objects and components are changing the way we relate to our computer and networks and most feel the rate of change will continue to increase. All information technology systems have data and communications tools for personnel. The industrial desktop can be adapted to automate decisions, to intelligently analyze large amounts of data, and to learn from past experiences whether from operators, engineers or managers. They can adapt their desktop according to their domain knowledge, roles, skills and responsibilities. Collaboration between functions (operations, management, maintenance, and engineering) is enhanced. Access to data and analysis tools enables plant personnel to try new ideas, determine and track the right targets, determine and track the best patterns, and transform and store data and knowledge. The paper presents a description of the data hierarchy and analysis means needed to improve process operations. Continuous improvement with an innovation loop fueled by data collection and analysis methods emerges as the best method for active decision-making and collaboration. A sampling of results include extending sub-critical equipment availability, increased production by faster detection of process bottlenecks and operating cost reduction. Descriptions of these applications are presented