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Next-generation Factory Business & Data Mapping

Collaboratively document standard biopharmaceutical manufacturing data workflows and identify future-state improvements for data creation, transformation and use.
Categories
Drug substance
Data
Project status
18% Completed

Industry Need

Workflow in factories can be inefficient. Lack of understanding and available models for the digital workflows in current factory operations.

Solution

Use process mapping to identify workflow problems and prioritize solutions.

Outputs/Deliverables

  • Digital workflow model and improvement opportunities – 1Q2025
  • DataFlow publication with prioritized improvements – 2Q2025

Impacts

Publications that show key areas for improvement and investment in digital workflows in the factory.

Define and rank opportunities for improvements in data workflow.

Improve operational efficiencies, turnaround time and reduce or prevent deviations.

Additional Project Information (Members Only)

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Project Lead

NIIMBL

NIIMBL

Participating Organizations

Amgen Inc.

Amgen Inc.

AstraZeneca

AstraZeneca

Bristol-Myers Squibb

Bristol-Myers Squibb

CSL Behring, LLC

CSL Behring, LLC

Cytiva

Cytiva

Eli Lilly and Company

Eli Lilly and Company

Emerson Automation Solutions

Emerson Automation Solutions

Genentech

Genentech

GlaxoSmithKline, LLC

GlaxoSmithKline, LLC

IPS-Integrated Project Services, LLC

IPS-Integrated Project Services, LLC

Janssen Research & Development, LLC

Janssen Research & Development, LLC

Merck Sharp & Dohme LLC

Merck Sharp & Dohme LLC

MilliporeSigma/EMD Serono

MilliporeSigma/EMD Serono

Pfizer, Inc.

Pfizer, Inc.

Sanofi

Sanofi

Sartorius Stedim

Sartorius Stedim

Takeda Pharmaceuticals

Takeda Pharmaceuticals