Data analytics in the pharma industry

Analyze critical data to get real-time insights into your plant and make the right decisions

One of the main challenges of the pharmaceutical industry is managing between specialty and affordable medicine. Production processes must be kept flexible and efficient, while the demand for short times-to-market and cost pressure are increasing. It is important to focus on innovation and continuous improvement in order to stay up-to-date. Process data should be used to shift from an exclusively quality-focused perspective towards productivity, reliability and innovation.

What can you do?

Get real-time insight into your plant with continuous decision-making variables. Help the operators by providing effective solutions for secure and economical optimization. Go a step further and achieve real process knowledge.

  • Integrate instrument status data horizontally

  • Use the same measuring technologies in process development, manufacturing process and quality laboratory

  • Calibration interval optimization

  • Digital technology to ease calibration

  • Identify, analyze and optimize critical manufacturing data

Learn how to achieve predictive process knowledge

Bioprocess overview ©Endress+Hauser

Bioprocess overview

Integration of Heartbeat diagnosis ©Endress+Hauser

Integration of Heartbeat diagnosis

Integration of Heartbeat monitoring ©Endress+Hauser

Integration of Heartbeat monitoring

Integration of Memobase+ ©Endress+Hauser

Integration of Memobase+

Applications

data integrity

Data integrity from lab to process

The importance of quality assurance is increasing. Consistent technology helps you acquire reliable data, which is necessary for the release process. In order to mitigate the risk of misinterpretations and quality deficiencies, the same measurement technology should be used in the laboratory and the manufacturing process. Digital technology improves measuring reliability during laboratory trials and up-scaling with full consistency.

data-based calibration optimization

Increase reliability and extend calibration intervals

Product quality, manufacturing performance and costs are the key elements in drug production. Innovative instrument diagnostics with monitoring and verification functionality significantly increase reliability and reduce risk. Prior to each production run, staff should have an option to quickly and easily verify the condition of critical measurement devices and produce a verification report. As a next step to consider, effort and cost can be reduced by extending calibration intervals.

asset information management

Consistent quality thanks to real-time status information

Undetected sensor failures could lead to non-conformity and quality issues. The installed measurement instruments permanently deliver real-time status information to a central system. Continuous data-based bioprocess optimization assures reliable processes, diagnostic transparency and extended calibration intervals. Consistent quality and process reliability can be achieved at the same time.

ph measurement bioprocess

Data-based bioprocess optimization for pH measurement

pH measurement is the most commonly used analytical measurement in the process industry and bears a huge potential for optimization. It accompanies the active agent during all phases from development to industrial production and is used in several process steps. The sensor has influence on reliability and accuracy of the measurement. Data can be stored directly in the sensor head and be synchronized to a database. Analyzing the data history helps optimize calibration activities.

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장점

Save time and money with data-based optimization. Generating valuable process knowledge is the base for making the right decisions. Let´s work together to find the best IIoT solution for your process.

  • 1 minute

    to generate a verification report on demand

  • 70 %

    Less calibration costs with Heartbeat Technology, during 10 years of operation

  • 0.5l - 20cbm

    Maximum yield can be achieved on all scales from lab to process