Life Science Manufacturing Automation Optimization Conference

September 24-25, 2019 | Charlotte, NC
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DAY ONE | TUESDAY, SEPTEMBER 24

8:00 REGISTRATION & WELCOME COFFEE

8:50 CHAIRPERSON’S OPENING REMARKS

9:00 OPENING ICE BREAKER: STRATEGIZING CURRENT AUTOMATION PROCESSES FOR INCREASED RELIABILITY
When managing a manufacturing line, automation engineers are tasked with ensuring quality and reliability is upheld and that processes in place are strategic functions to the overall timeline. Given trends within the life sciences industry are swaying heavily towards automation, professionals will participate in an interactive ice breaker with an opportunity to meet other participants and inform one another on valuable insights pertinent to automating in the manufacturing space. Furthermore, participants in the warm-up session are also given the opportunity to build contacts with industry peers, kicking off the event networking platform.

 

9:30 CASE STUDY: AUTOMATION USE TO ENSURE CONSISTENT BATCH AND PRODUCT QUALITY
Ensuring quality in batch recipes is a wide-spread concern in manufacturing as any issues or compromises with quality assurance can halt production of a product. Having the ability to predict the end of batch quality parameters can assist manufacturers’ with detecting faults in real-time and minimizing batch-to-batch variation. By utilizing an automation system, operators are able to detect deviations early on, uphold quality, minimize disparities, and decrease costs, while keeping a plant online and running.

Tariq Tashtoush, Assistant Professor, TEXAS A&M

 

10:15 COFFEE & NETWORKING BREAK

 

10:45 SIEMENS CASE STUDY PRESENTATION

 

11:30 STREAMLINING DATA PROCESSES FOR COHESIVE FACILITY INTERPRETATION
The life sciences division is an environment where processing data is necessary to fulfill certain requirements and ensure product quality and safety. If a record is poorly documented, the data integrity can be compromised, and potentially jeopardize batch safety. Discover how the University is about to implement a cohesive data collection and interpretation plan in motion, when moving the data from one facility to another. Mitigate misinterpretation through automated procedures implemented in each facility to document data more accurately, make fewer mistakes in transferring the data across sites, and collect more data in smaller timeframe.

Tom Walker, Systems Design Specialist | Facility Automation Services, PENN STATE UNIVERSITY

 

12:15 LUNCHEON FOR ALL SPEAKERS, SPONSORS & ATTENDEES

 

1:30 DIGITIZING AUTOMATION FOR ENHANCED DATA COLLECTION AND PROCESSES
Automation engineers are required to file and validate all process information, which has led to a rise in automation and the streamlined collection of data. Utilizing an automated interface enables more rapid submissions and approvals and offers the benefit of more accurate data collection. Additional features can add to the experience as automation engineers are able to gather more knowledge and deliver enhanced quality. Automation not only accelerates the process, but also allows for the embedment of important information to ensure data collection is secure, quick, and accurate.

Frederick Johnson, Senior Manager IT- DS Manufacturing IT, GENENTECH, INC.

Iris Scott, Sr Project Manager IT – DS Manufacturing IT, GENENTECH, INC.

 

2:15 AUTOMATION AND DIGITAL DATA USE TO IMPROVE THE SPEED IN WHICH A PRODUCT GOES TO MARKET
To data scientists and process engineers, automation is a largely hidden world that can have a huge impact on the ease of data analysis and routine process monitoring. By the time automation engineers are looking to access data, they may be dealing with paper and electronic records, multiple databases, and automation systems which are already delivering and often challenging to update. Identify how the design of automation systems influence their ideal state and improve speed of delivery of products to the market.

  • Using the most effective data set as a data scientist or process engineer
  • Handling challenges data users face when it comes to automation design
  • Designing automation with attributes that make for seamless analytics

Jacqueline Hora, Global Digital and Data Analytics Lead, ZENITH TECHNOLOGIES

 

3:00 COFFEE & NETWORKING BREAK

 

3:30 CONSIDERATIONS FOR IMPLEMENTING INDUSTRY 4.0 SYSTEMS WITH CURRENT PROCESSES

  • Leveraging data to enhance operations and decision making
  • Compilation of relevant data to increase levels of productivity and efficiency
  • Updating legacy equipment to collect and utilize accurate data with new analysis
  • Improve the use of data in the supply chain through digitization and tracking

Sagar Kamarthi, Professor, Mechanical and Industrial Engineering, NORTHEASTERN UNIVERSITY

 

4:15 CASE STUDY: IDENTIFYING FUTURE CHANGE CONTROL PROCESSES FOR BETTER EFFICIENCY
As automation is being implemented into manufacturing sites, changes may be slow to implement within the organization, as the workforce may be reluctant and need to be adapt and adopt behavior to align with these updates. Change control procedures have to be approached as a method for standardization, and any changes within production and processes can be controlled, recorded, and reviewed. As some manufacturing changes may require regulatory filings and prior regulatory approval, local procedures should have controls in place for these circumstances.

  • Workplace paradigms and drivers required to make major work shifts
  • Worker engagement and training strategies to leverage new technologies
  • Pinpoint opportunities and implement efficiency measures and practices

Matt Gresh, MES Base Business Lead
THE JANSSEN PHARMACEUTICALS COMPANIES OF JOHNSON & JOHNSON

 

5:00 END OF DAY ONE CONFERENCE

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