Emerson Real-Time Modeling System in Takeda’s Los Angeles Plasma Fractionation Facility

  • Expected benefits of integrated scheduling and modeling
  • Building the model
  • Integrating the model with various systems
  • Switching to a new scheduling software in manufacturing

Sean Ganley
AGILE Champion III
Takeda

Sean is part of the AGILE team at Takeda’s Los Angeles plasma manufacturing facility. AGILE, in all caps, is Takeda’s methodology for transforming its manufacturing capabilities. Following his bachelor’s degree in Biology from Occidental College, Sean began his 15-year tenure at Takeda. He has shaped the landscape of fractionation performance measurement and used his data and modeling methodologies to facilitate strategic growth of the site’s fractionation capacity by 120%. Squeezing every drop out of manufacturing capacity is something Sean is passionate about, and he has led and implemented many of the site’s most impactful changes. He is leading Emerson RTMS’s deployment, which will improve manufacturing’s operational performance through integrated scheduling and unlock additional long-term capacity growth through scenario modeling.

In April 2019, Emerson acquired Bioproduction Group (Bio-G), a leader in simulation, modeling, and scheduling software for biomanufacturing. Bio-G’s scheduling and modeling systems combined with Emerson’s extensive life sciences technology and expertise portfolio will help companies bring therapies for cancer, diabetes, and other illnesses to patients sooner.

Life sciences companies continually look to accelerate the production of patient therapies and the Bio-G Scheduling software helps them accurately predict future plant resource availability to optimize manufacturing production. The scheduling software delivers an instantaneous view, accessible across an organization, into the current and future state of the plant, providing decision support to help increase facility uptime and reduce schedule-related product losses.

For more information visit www.emerson.com/rtms.