| Global competition is driving process manufacturers to constantly improve product quality and operational efficiencies. This includes batch and continuous producers of cement, food and beverages, metals, minerals, pharmaceuticals, pulp and paper, specialty chemicals, and more. Gensym's G2 rule-engine platform and products enable real-time expert system applications that consistently control product quality and improve optimization of processes and production. G2 applications capture human expertise through object models, rules, procedures, and neural networks to transform real-time data, historical data, human expertise, and business policies into real-time decisions and automated actions. Who uses G2 for process manufacturing? Companies like ABB, Auginish Alumina, Carlton United Breweries, Eli Lilly, Ferrero, Galvak, Glaxo Wellcome, IMC Agrico, Lafarge, MinnovEX Technologies, Penoles, Siemens, Unilever, and many more. Reasoning-Driven Quality Control For complex production processes, maintaining quality is a major challenge. At the heart of the challenge is measuring quality in real time so that effective control decisions can be made. Control systems do not directly measure product quality; lab tests take too long; and hardware analyzers are expensive, sometimes inaccurate, and have delays. Gensym's G2 NeurOn-Line product applies reasoning technology to predict quality and process conditions in real time. With G2 NeurOn-Line, engineers quickly build and deploy neural network models based on historical process data that capture the relationships between product quality and process conditions. Rules-Driven Optimization Optimization decisions make or break operational efficiencies. Whether the decisions are about business processes, supply chains, process tradeoffs, warehouse management, or energy, the outcomes will directly affect operational performance. Gensym's G2 is proven for rules-driven optimization applications, often in closed-loop mode, that lead to improved performance and compelling ROIs. |
