Manufacturing

Jennifer Markarian is manufacturing reporter for Pharmaceutical Technology.

Articles

Eli Lilly and Company experts share the vision and the value of the digital plant for pharmaceutical manufacturing.

Digital Transformation at Lilly Manufacturing

System connectivity and data analysis drive increased productivity in pharma manufacturing.


Considering Digital Transformation in Pharma Manufacturing

GS1, a global supply-chain standards organization, launched a new messaging standard in collaboration with GS1 US to help meet the requirements of the US Drug Supply Chain Security Act (DSCSA) for salable returns of serialized prescription drugs.

GS1 Launches Messaging Standard for Verification of Product Identifiers

New alert customization and expanded Open Platform Communication support in Emerson’s DeltaV Mobile app improve notification and third-party system monitoring.

Mobile App for Processing Plants Improves Data Access

The Centre for Process Innovation (CPI) has led an Innovate UK project focused on the establishment of a generic framework and core capability to improve industrial productivity using computer models.

CPI leads Innovate UK Project to Support Computer Models in Manufacturing Processes

The Qualit-e Cloud web portal allows for secure uploading and sharing of quality documents for raw materials.

Web-based Portal Simplifies Quality Document Storage and Sharing

Will Goetz is vice-president of Digital Transformation Practice, at Emerson, will.goetz@emerson.com

Ron Rossbach is Life Sciences Consultant for Emerson, ron.rossbach@emerson.com.

To improve production in pharmaceutical manufacturing, the IT, OT, and Quality functional groups must work together to get the most value from existing plant data.

Improving Production: How IT, OT, and Quality Can Collaborate

Collaborative robots work beside laboratory employees to improve efficiency in pharmaceutical research and quality control labs. 

Cobots in the Pharma Lab

Robotic Automation Finds Use in the Pharma Lab

James O’Brien is global MES business unit lead, Zenith Technologies.

Preventing problems in implementing a manufacturing execution system requires upfront analysis and detailed planning.

Data and Artificial Intelligence