Productivity Quality Smart Manufacturing

Schedule onsite demos at the apc|m europe conference in Belgium on March 28-30, 2023

Don’t miss our Platinum Sponsorship presentation and poster sessions
By SmartFactory Team
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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

Control Tower Blog
De-silo your data and analytics
By Lucas Vann PhD
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Pharma 4.0 Planning Scheduling Smart Manufacturing

Embracing “eleventh hour” updates: just-in-time scheduling for pilot plants

Eleventh Hour Blog
How to meet varied demands in capacity and last-minute changes to schedules
By Smart Scheduling Team
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AI / ML Pharma 4.0 Smart Manufacturing

The data scientist conundrum – model selection and process visualization through dashboards (Part 3/5)

Guiding data scientists to create the right model to optimize the manufacturing process.
By Ilias Iliopoulos PhD, Yoram Barak PhD
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Pharma 4.0 Scheduling Smart Manufacturing

They’re Better Together

By Smart Scheduling Team

The case for integrating QC Lab and manufacturing schedules

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Go Green
Pharma 4.0 Productivity Quality Smart Manufacturing

Go green or go home

By Pharma Applications Team

Achieve pharma sustainability goals more quickly with SmartFactory Rx® implementation.

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Algorithmic Scheduling
Pharma 4.0 Planning Scheduling Smart Manufacturing Supply Chain

Algorithmic scheduling: Solving the pharma scheduling crisis

By Rick Johnston PhD

Embrace new technology to deliver agile, accurate manufacturing schedules

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Manufacturing Execution Smart Manufacturing

Reduce production noise and boost operation efficiency

By Bing Wang

SmartFactory team unveils new solution for handling alarms

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Data Visualization
Manufacturing Execution Productivity Smart Manufacturing

Improving operational efficiency through better data visualization

By John Robinson

Make easy, consistent, and visually appealing charts for data-driven decisions using SmartFactory Material Control and APF Reporter

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Data Science Blog
AI / ML Pharma 4.0 Smart Manufacturing

The data scientist conundrum – data exploration and feature engineering (Part 2/5)

By Ilias Iliopoulos PhD, Yoram Barak PhD

Making data scientists’ life easier with integrated end-to-end software solution

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JIT Blog
Pharma 4.0 Planning Scheduling Smart Manufacturing Supply Chain

Three ways Just-In-Time scheduling is transforming pharma operations

By Rick Johnston PhD, Lisia Dias PhD

Bring speed, accuracy and deeper insights to manufacturing and lab schedules

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Deep RL
AI / ML Smart Manufacturing

Deep reinforcement learning (RL) for Queue-time management in semiconductor manufacturing

By Jeong Cheol Seo

Use deep RL to minimize yield loss with automatic control of Queue-time management

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