How to Prioritize and Organize your MES Data

Our Apprentice team recently worked with other vendors and biomanufacturers in the BioPhorum MES of the Future workstream to define what data is the most important and most common to capture, manage, and structure in an MES. Read on for expert insights.

Getting a clear picture of production

Although most required manufacturing data is common across the industry, each MES supply partner takes their own individual approach toward data configuration and management across each stage of the manufacturing process. Getting the right data to leverage for actionable insights can be a daunting task as MES platforms offer an abundance of information to sort through and prioritize.

“The adoption of manufacturing execution systems (MES) in the industry faces a significant challenge: understanding and prioritizing key data essential for aligning biomanufacturers and MES vendors. This white paper offers a comprehensive framework to tackle these challenges head-on, with the aim of expediting MES adoption across the industry and bring digital and data driven ecosystem in the biomanufacturing operations that promise to deliver lifesaving therapies faster and in timely manner.” Braj Nandan Thakur Global Product Manager-Automation and Analytics, Merck

Source: Biophorum 

The roadmap for the future of MES

By identifying your key data elements, manufacturing leaders can streamline and better manage their production operations. For biomanufacturers, this means reduced implementation costs and shorter timelines, enhanced decision-making capabilities, increased flexibility and productivity gains.For MES supply partners, this approach offers reduced development time, improved system quality and a competitive edge in the market. 

Overall, this data prioritization initiative and standardization approach sets the stage for accelerated MES adoption and innovation in the biomanufacturing ecosystem. It also allows biomanufacturers and MES supply partners to streamline data configuration, minimize ambiguity and facilitate seamless data exchange. 

The following operational elements should be considered when prioritizing data:

• Product definitions
• Resources
• Production scheduling
• Production dispatching
• Execution
• Data collection
• Tracking
• Performance analysis

Once priority data points are identified, continued collaboration and refinement will be key for manufacturers to keep up with evolving industry needs and technological advancements. The goal is to offer the biomanufacturing industry an opportunity to navigate the complexities of digital transformation with greater confidence. 

Conclusion

The comprehensive data provided in BioPhorum’s full guide is incredibly valuable for supply partners to narrow the focus on improving data flow in their systems. Effective management of MES data is pivotal in addressing current business challenges in biomanufacturing across the current value chain.

Get the full BioPhorum MES of the Future guide: Navigating the data maze: a practical guide to defining priority data in MES.  Learn how to identify, define and rationalize priority data in MES for the biopharmaceutical industry in order to drive enhanced operational efficiency, quality and, ultimately, patient outcomes.