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Pharma 4.0 Process Optimization Productivity Smart Manufacturing
How a laser focus on yield improved one company’s API manufacturing
Early identification of yield-impacting problems can raise overall performance
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AI / ML Pharma 4.0 Process Optimization Productivity Smart Manufacturing
Challenges and opportunities in Pharma 4.0 implementation
Derive high-value actionable information from multiple data sources
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Pharma 4.0 Productivity Scheduling Smart Manufacturing
Rapid rescheduling is key to better pharma manufacturing
From offline spreadsheets to online, real-time scheduling is essential for pharma manufacturers
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Pharma 4.0 Process Optimization Productivity Smart Manufacturing
SmartFactory Rx® presentations at IFPAC 2023
Join us for discussions on advanced manufacturing, quality, and innovation
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Pharma 4.0 Productivity Scheduling
Scheduling at the speed of a smartphone app
Reducing decision latency is the key to better pharma manufacturing
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AI / ML Pharma 4.0 Process Optimization Smart Manufacturing
Learning models are revolutionizing pharma analytics
New generation models are improving insights with real-time manufacturing data
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Pharma 4.0 Process Optimization Productivity Smart Manufacturing
Unlock mechanistic and hybrid modeling in biopharma with SGML
The ‘Expert Unfolding’ framework alternative to batchwise unfolding
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Pharma 4.0 Process Optimization Productivity Smart Manufacturing
SmartFactory Rx® 2.0: Lessons learned to digitize our pharma future
Join us to review practical use cases
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Pharma 4.0 Productivity Quality Smart Manufacturing
Accelerating pharma potential by driving the “S Curve”
Introducing automation early to accelerate productivity.
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Pharma 4.0 Process Optimization Productivity Smart Manufacturing
How a pharma control tower can put real-time, live updates at your fingertips
De-silo your data and analytics
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Pharma 4.0 Planning Scheduling Smart Manufacturing
Embracing “eleventh hour” updates: just-in-time scheduling for pilot plants
How to meet varied demands in capacity and last-minute changes to schedules
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AI / ML Pharma 4.0 Smart Manufacturing
The data scientist conundrum – model selection and process visualization through dashboards (Part 3/3)
Guiding data scientists to create the right model to optimize the manufacturing process.
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