We're operations research experts helping improve the quality, productivity, flexibility and manageability of the world's leading biomanufacturers. We provide a suite of enterprise software tools and services, developed to address your most significant biomanufacturing challenges.
Our Real-Time Modeling System consolidates supply chain and manufacturing operations data, allowing you and colleagues across the enterprise, to visualize that data. This feeds an accurate model of your process, and provides outcomes like quality by design (QbD), real-time scheduling, debottlenecking and more, across a facility, or a network of facilities around the world.
Our customers range from small, through to the largest biomanufacturers in the world. We deliver improved quality, productivity, flexibility and manageability at these firms, ultimately helping them achieve real biomanufacturing excellence. We can do the same for you.
Manufacturing Intelligence in the Life Sciences
May 30, 2013
There has been increasing interest in the Life Sciences community on the subject of manufacturing data analysis. Several Manufacturing Intelligence (MI) toolsets have been introduced to the bioproduction industry. These have been used in other industries to help understand how past events may have influenced each other, successfully discovering patterns and trends in large data sets. MI can offer alternative explanations of how we may have gotten to where we are now, and even predict some near-term future events (like impending equipment failures). Conventional MI models take as an article of faith that the future will be like the past; tomorrow will be much the same as yesterday. This is not the case in biopharmaceutical manufacturing. A static model can provide little useful information about possible future scenarios in the complex, dynamic, and uncertain world of bioproduction. Also, with big data comes big noise, which makes it difficult to detect the relatively few truly important signals that are masked by the thousands of measurements collected for manufacturing analysis. Statistical data mining can only tell us about the past; saying anything about the future in bioproduction needs data refining. Doing this requires that we account for both real time system dynamics and inherent uncertainty.
In this webinar, we show how Bio-G's Real Time Modeling System (RTMS) provides predictive manufacturing intelligence to the Life Sciences community. RTMS advances beyond present MI to prescient MI by using current data as well as other forms of real time system intelligence to predict the performance of bioproduction systems days or even months into the future. This allows biomanufacturers to proactively identify and mitigate the risks and variability in their production processes, yielding significant improvements in run rates, capacity, schedule adherence, and solutions to a host of other critical problems. Finally, RTMS allows dynamic sensitivity analysis so manufacturers can detect key data signals and focus the enterprise on optimizing production while minimizing risk.
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