Events
Bringing Decision Analytics to Agriculture R&D - Syngenta’s Edelman Prize Winning Effort
SDP Free Webinar - Co-Sponsored with the Decision Analysis Society (DAS)
Winner of the 2015 INFORMS Franz Edelman Award
Date and Time: Aug 17 at 8:00 am PT | 11:00 am ET
Speaker: Jack Kloeber, Kromite
Moderator: Matt Gorman, Kromite
Syngenta, a leading developer of crop varieties (seeds), is committed to bringing greater food security to an increasingly populous world by creating a transformational shift in farm productivity. Syngenta Soybean R&D is leading the corporate plant-breeding strategy by developing and implementing a new R&D model that is enabling the creation of an efficient and effective soybean breeding strategy. The combination of advanced analytics and plant-breeding knowledge is identifying opportunities to increase crop productivity and optimize plant-breeding processes. Discrete-event and Monte Carlo simulation models codified Soybean R&D best practices, and stochastic optimization helped find the best soybean breeding plans and strategically align its research efforts. As a result, Syngenta estimates that it will have saved more than $287 million between 2012 and 2016. The presentation will focus on the Decision Quality aspect of supporting this effort.
Winner of the 2015 INFORMS Franz Edelman Award
Date and Time: Aug 17 at 8:00 am PT | 11:00 am ET
Speaker: Jack Kloeber, Kromite
Moderator: Matt Gorman, Kromite
Syngenta, a leading developer of crop varieties (seeds), is committed to bringing greater food security to an increasingly populous world by creating a transformational shift in farm productivity. Syngenta Soybean R&D is leading the corporate plant-breeding strategy by developing and implementing a new R&D model that is enabling the creation of an efficient and effective soybean breeding strategy. The combination of advanced analytics and plant-breeding knowledge is identifying opportunities to increase crop productivity and optimize plant-breeding processes. Discrete-event and Monte Carlo simulation models codified Soybean R&D best practices, and stochastic optimization helped find the best soybean breeding plans and strategically align its research efforts. As a result, Syngenta estimates that it will have saved more than $287 million between 2012 and 2016. The presentation will focus on the Decision Quality aspect of supporting this effort.
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Location
GoToWebinar
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Dates
Aug 17, 2016
08:00 AM - 09:00 AM |
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Contact
Hilda Cherekdjian
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Respondent Email
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Speaker
Jack Kloeber is a retired U.S. Army lieutenant colonel. During his military career Jack taught mathematics at West Point, and graduate level decision analysis, systems simulation, and technology selection at the Air Force Institute of Technology. After retiring from the U.S. Army, he became head of portfolio management for Bristol-Myers Squibb and later at J&J Pharma Services His work has supported decisions for various DoE superfund sites, many technology organizations within the DoD, and pharmaceutical and agriculture R&D organizations. Jack joined KROMITE LLC as partner in 2007 and has been the Principal since 2012. He is a Founding Fellow and Past-President of SDP.
Moderator
Matt Gorman is a career management consultant with 20 years of experience in serving clients in the Pharmaceuticals, Biotech, Food, Chemical and Agricultural industries. Matt spent over ten years with a Big Four audit and advisory firm where he was involved in a range of operational capacities from Database design and test; ERP systems implementation; technology and process training; and regulatory compliance assurance and auditing. As a Senior Consultant at KROMITE LLC, Matt is applying his knowledge of business processes to the discipline of Decision Sciences. With a degree in Chemical Engineering and an Executive MBA, Matt brings a valuable combination of both analytical and systems thinking.
