Adapt Or Fall Behind: Surviving And Thriving In The Competitive Jungle Of Plant Operations Scheduling And IIoT

Using technology to reducing variability and improving categorization in a different manufacturing segment.


Biopharmaceutical manufacturing has required significant technological developments in the area of cell culture, chromatography, and purification. It is no small miracle that every day across the world, millions of liters of cell culture capacity generates life-saving medicines for the patients who need it. The bio-manufacturing process is unique in its need for—

  • Tight regulation of an inherently variable process
  • Rigidly controlled environmental conditions to make an imperfectly characterized living
  • A large number of groups responsible for making, testing, validating, and releasing bio-manufacturing products

However, as teams increasingly “normalize” this bio-manufacturing process, an increased focus exists for categorizing and reducing variability. Nowhere is this more visible than in scheduling— because this is the part of the process where variability is seen first and foremost. Delays in processes, re-work, and last-minute re-planning and schedule changes are a visible “yardstick” of a non-optimized process. By closely observing these delays and the causes behind them, operation teams can begin to make concrete improvements to their manufacturing processes. Such an approach has been extremely successful in the semiconductor manufacturing sector in which significant improvements in process efficiency have been realized. In this white paper, we discuss how focusing on optimizing detailed process schedules—along with the tools for such optimization— can provide critical insights into processes and help optimize bio-manufacturing operations.

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