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JMP's features and advantage in terms of Reliability as compared with Minitab

As all of us know and estimate, JMP has many powerful and effective features and functions as compared with other analytical software. Nevertheless, I don't know and could not appeal JMP's features and advantages  in terms of Reliability as compared with other analytical software, especially Minitab.

Reliability is very important appeal point and selling point automobile and home appliance industiry. I hope to appeal JMP's advantages in reliability as compared with Minitab.

Please let me know your experience and insight.

Thanks in advance

Ikju

 

 

Re: JMP's features and advantage in terms of Reliability as compared with Minitab

Thank you all

After deep review, I would like to give thanks to you again

Re: JMP's features and advantage in terms of Reliability as compared with MinitabI confirm Don’s comment. In Germany are lots of Automotive customers and they use by default Minitab. As soon they need to do reliability tasks they try to do this with MT and reach the limit fast but nevertheless it’s the tool of choice as it is the standard here. Others use reliasoft or weibull++ as already mentioned.
For reliability engineers in the automotive industry the defective subgroup distributions are often of interest. Also reliability forecast. However it is not easy to sell the repairable system simulation should be of great interest for that area. But automotive customers also are very price sensitive, therefor you need to find the explicit need and value and convince them that this is about what they should talk otherwise you will loose against minitab’s concurrent license model.
Best
Martin
Re: JMP's features and advantage in terms of Reliability as compared with Minitab

The reliability engineers using Minitab who I have run into have been from industries in which we are not strong (automotive, in particular). I suspect this is because Minitab is the analytic tool of choice in these industries. In industries where we are strong, semiconductor specifically, Reliasoft products are used.

Re: JMP's features and advantage in terms of Reliability as compared with Minitab

I second Mike I have never run into a reliability engineer using Minitab.  Reliasoft products typically Wiebull++ all the time and those can be hard to displace.  Typically when comparing JMP to Minitab I like to highlight what JMP does well.  Dynamic linking, graph builder, and partition are all usually winners.

Re: JMP's features and advantage in terms of Reliability as compared with Minitab

The Quality, Reliability and Six Sigma Application Area is a good place to start:

https://www.jmp.com/en_us/applications/quality-reliability-six-sigma.html

 

As is this webcast series by Dr. Bill Meeker and Leo Wright, our Product Manager for the area:

https://www.jmp.com/en_us/events/ondemand/webcasts/by-series/statistical-methods-in-reliability.html

 

Using Brady's Discovery paper search tool for Reliability also brings up a number of organizations that have chosen JMP for reliability analysis, which can be useful for reference selling:

 

1. Life Data Analysis with JMP 8
Paper: 2009, US (Chicago)
Edward Kram, Blue Arc Energy Solutions Inc.
http://www.jmp.com/about/events/chicago2009/discovery/pdf/discovery_kram.pdf


2. JMP Degradation
Paper: 2011, US (Denver)
Christopher Gotwalt, Amgen
José G. Ramírez, SAS
(Link unavailable)


3. Using JMP for Advanced Warranty and Reliability Analytics
Paper: 2011, US (Denver)
Sameer Vittal, GE
Rob Reviere, SAS
(Link unavailable)


4. Modeling Reliability Growth Curves with JMP 10
Paper: 2012, US (Cary)
Marie Gaudard, North Haven Group
Leo Wright, SAS
http://www.jmp.com/about/events/summit2012/resources/Slides_Gaudard_Wright.zip


5. EFA, CFA and SEM Applied to Consumer Brand Relationships
Paper: 2013, US (San Antonio)
Michèle Boulanger, Rollins College
Marc Fetscherin, Rollins College
http://www.jmp.com/about/events/summit2013/resources/Slides_Boulanger_Fetscherin.pdf


6. Assessing and Improving the Product Reliability of Integrated Circuits with Statistics
Paper: 2013, US (San Antonio)
Yves Chandon, Freescale Semiconductor
http://www.jmp.com/about/events/summit2013/resources/Slides_Yves_Chandon.pdf


7. Using JMP and R Integration to Assess Inter-Rater Reliability in Diagnosing Penetrating Abdominal Injuries From MDCT Radiological Imaging
Paper: 2014, US (Cary)
Melvin Alexander, Social Security Administration
https://community.jmp.com/t5/Discovery-Summit-2014/Using-JMP-and-R-Integration-to-Assess-Inter-Rater-Reliability-in/ta-p/21764


8. New Reliability Analysis Features in JMP 12
Paper: 2015, Europe (Brussels)
Peng Liu, SAS
https://community.jmp.com/t5/Discovery-Summit-Europe-2015/New-Reliability-Analysis-Features-in-JMP-12/ta-p/21724


9. Analysis of Reliability Data Using JMP: Life Distribution of Recurrence Analysis?
Paper: 2015, US (San Diego)
David Trindade, Bloom Energy
https://community.jmp.com/t5/Discovery-Summit-2015/Analysis-of-Reliability-Data-Using-JMP-Life-Distribution-or/ta-p/22916


10. Random Coefficient Models: How to Model Longitudinal and Hierarchical Data in JMP Pro
Paper: 2016, Europe (Amsterdam)
Elizabeth Claassen, SAS
 Chris Gotwalt, SAS
https://community.jmp.com/t5/Discovery-Summit-Europe-2016/Random-Coefficient-Models-How-to-Model-Longitudinal-and/ta-p/23646


11. Test Time Reduction and Predictive Analysis Using Optimised Flow Based on D-Optimal Design, Principal Component Analysis and Hierarchical Component Analysis
Paper: 2016, Europe (Amsterdam)
Alain Gautier, Rockwell Collins
https://community.jmp.com/t5/Discovery-Summit-Europe-2016/Test-Time-Reduction-and-Predictive-Analysis-Using-Optimised-Flow/ta-p/23767


12. Strategies for Optimization of an Organic Light Emitting Diode (OLED) Device
Paper: 2016, US (Cary)
David Lee, OLEDWorks
https://community.jmp.com/t5/Discovery-Summit-2016/Strategies-for-Optimization-of-an-Organic-Light-Emitting-Diode/ta-p/23689


13. Rapid Problem Solving For Product Quality and Reliability Using JMP 12
Paper: 2015, China (Shanghai)
Chris Gotwalt, SAS
(Link unavailable)


14. Smart Power Grids: Equipment Management Based on Big Data
Paper: 2015, China (Shanghai)
Ethan Xiang, JMP China
(Link unavailable)


15. Data Analysis in High-Tech Product Research and Development – Reliability Assessment of Sub-Healthy Products and Systems
Paper: 2016, China (Shenzhen)
Feng-Bin Sun, Tesla
(Link unavailable)

Re: JMP's features and advantage in terms of Reliability as compared with Minitab

Some may have different experiences, but I can't recall ever running into a reliability engineer that uses Minitab.  Reliasoft, sure - all the time.  In my territory, I'll find Minitab in places where they brought in 6 Sigma consultants or near universities with programs that use Minitab, but never in reliability.  Looking at their documentation (link), there really isn't a comparison.  They have some of the same analyses but we definitely have the broader selection of tools.  

 

Best,

 

M