Announcing an upcoming meeting of the Mid-Atlantic regional JMP Users Group! Join us on May 21st for a morning meeting in Columbia, MD covering exciting new updates in JMP 18! Seats are limited so please register today.
https://www.jmp.com/en_us/events/users-groups/users-group-meetings/ma-jug-21may24.html
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2021 Online Discovery Summit Americas is just around the corner (in fact, registration opens on August 31). On Thursday, October 7th at 5pm ET, there will be a fun virtual social hour all about DOE in everyday life.
The conversation will be about running DOEs for things like optimizing home energy efficiency or developing the perfect cold-brew coffee blend. I'm looking to recruit a handful of people who use DOE for personal projects to help host breakout rooms. No need to prepare anything in advance, just come ready to engage with others and maybe pick up an idea or two along the way!
If you're interested, please respond to this message or shoot me an email -- meg.eberle@jmp.com.
Very much hoping to hear from some of you!
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Mid Atlantic JMP Users Group (MAJUG) Winter Meeting (MAJUG) Winter Meeting – Thursday Jan 16th at 1:00 p.m. following the New in JMP 15 and Pro morning presentations at the SAS Arlington Training Center
Please join us for Rob Lievense’s presentation and application of experimental models created for quality by design, and Gail Massari’s presentation about JMP resources.
Agenda: 1. 1:00 Welcome 2. 1:05 Extracting Valuable Practical Information From Experimental Models Created for Quality by Design by Rob Lievense, JMP Senior Systems Engineer
Extracting Valuable Practical Information From Experimental Models Created for Quality by Design JMP DOE models can be used dynamically to provide stakeholders with reliable estimates of the quality performance for new products. The design and execution of structured, multivariate experiments allow scientists and engineers to efficiently define a robust design space for pharmaceutical and medical device manufacturing. Models created through the DOE platform in JMP are used to determine settings of the critical process parameters (CPPs) that ensure a robust process to make products that meet the requirements for Critical Quality Attributes (CQAs). Regulatory submissions that include such QbD elements demonstrate that risks have been mitigated; however, a great deal of practical information can be extracted with simulations of the model. This presentation utilizes the experimental model with historical information and subject matter expertise to project the likely operational performance of a product. The DOE model Prediction Profiler is used with the simulator to dynamically predict a population of future results with patterns of real-world variation included in the inputs. This dynamic modeling is an excellent tool for setting manufacturing card limits determining a manufacturing control space defined with estimates of the percentage defects. The analyses allow for the inclusion of the measurement uncertainty as an added noise factor for the response.
3. 2:00 Mastering JMP and Community Resources by Gail Massari 4. 2:30 Q&A, Feedback, Future Events – Spring meeting planned for March 19th
To register contact MAJUG Co-Chairs by Tuesday January 14th via JMP community or via email: Josh Klick (klick.Joshua@bls.gov) or Melvin Alexander (melvin.alexander@verizon.net).
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Please join us for an afternoon session with presentations about practical applications of JMP. It will be held after lunch following the New in JMP 15 and New in JMP Pro 15 morning presentation by JMP staff who will demonstrate and answer questions about new capabilities.
Location:
SAS Arlington Training Center
1530 Wilson Blvd Suite 1000 Arlington, VA 22209
1:30 - 4:00 pm
The afternoon MAJUG meeting agenda and registration form are being finalized. Presentations will include:
Extracting Valuable Practical Information From Experimental Models Created for Quality by Design Presented by Rob Lievense, Senior Systems Engineer, JMP
Extracting Valuable Practical Information From Experimental Models Created for Quality by Design JMP DOE models can be used dynamically to provide stakeholders with reliable estimates of the quality performance for new products. The design and execution of structured, multivariate experiments allow scientists and engineers to efficiently define a robust design space for pharmaceutical and medical device manufacturing. Models created through the DOE platform in JMP are used to determine settings of the critical process parameters (CPPs) that ensure a robust process to make products that meet the requirements for Critical Quality Attributes (CQAs). Regulatory submissions that include such QbD elements demonstrate that risks have been mitigated; however, a great deal of practical information can be extracted with simulations of the model. This presentation utilizes the experimental model with historical information and subject matter expertise to project the likely operational performance of a product. The DOE model Prediction Profiler is used with the simulator to dynamically predict a population of future results with patterns of real-world variation included in the inputs. This dynamic modeling is an excellent tool for setting manufacturing card limits determining a manufacturing control space defined with estimates of the percentage defects. The analyses allow for the inclusion of the measurement uncertainty as an added noise factor for the response.
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In a few days, JMP will be sending out an official invite to a free half-day event in Arlington, VA on Jan. 16, 2020. But as members of the local users group, I wanted to give you advanced notice so you could reserve your seat.
JMP will also have information online about the new changes to the software soon, but this event will be a chance to see JMP 15 demoed live and ask questions of our JMP technical experts in-person. JMP will host lunch as well and this will be a great chance for attendees to network and meet up with fellow JMP users in the area.
Please mark your calendar for Jan. 16 th and register here today. Seats are limited.
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