Revolutionizing Data Analysis and Delivery in Semiconductor High
- Slides: 28
Revolutionizing Data Analysis and Delivery in Semiconductor High Volume Manufacturing Kevin Lennon, Intel Ireland. Adrian Porter, Intel Ireland.
Introductions The Authors What Intel Corporation Produces What Intel Ireland Produces
The Story The Opportunity The Approach The Solution The Knowledge The Growth The Class The Community The Benefits
The Opportunity Every Silicon Wafer generates Gigabytes of Data Wafer Movement in the Factory Equipment Tracking Electrical Measurements Functional Testing Reliability Testing
The Opportunity Every Silicon Wafer generates Gigabytes of Data We have Many Options to Extract this Data But there is Waste in Repetitively Preparing the Data And we have Many Means of Displaying Our Results And how we Communicate these Results Intel Ireland had started it’s Lean Journey
The Opportunity
The Approach Employed Lean Methods Directly Observed People and Their Data Tools Examined our Data Extraction and Analysis (DEA) Options • For Extraction we settled upon a Proprietary SQL Builder • And for Analysis we had these options available to us …
The Approach
The Approach Employed Lean Methods Directly Observed People and Their Data Tools Examined our Data Extraction and Analysis (DEA) Options • For Extraction we settled upon a Proprietary SQL Builder • And for Analysis we had these options available to us … • We settled on JMP as our Analysis application
The Solution Lots of Trial and Error …
The Solution j. Click!
The Solution 1. Schedule an SQL query to run at a required frequency 2. Send the output file of that query to a shared location 3. Create a JSL script that performs an analysis on the file 4. Save the JSL script in the same shared location 5. “Include” the JSL script in a button on a JMP journal 6. Distribute the Journal
The Solution
The Knowledge
The Knowledge Simple Beginnings …
The Knowledge Starting to Code …
The Knowledge Data Consolidation … Saving Many Engineers Time • Small Amounts of Time • Every Morning • Over a Large Time Period • An Entire Department = Large Savings!
Sources of Knowledge JSL Scripting Guide and other SAS Publications JMP Seminars: The Partition Platform and Row Filter JMP Seminars: Stephen Few and Effective Visualization Discovery Conferences & Keynotes: John Sall’s Keynotes: Present Your Data Live! Speakers such as Jonah Lehrer, Kaizer Fung and Dick De Veaux Webcasts such as Xan Gregg’s remarkable Graph Builder Collaboration with the growing j. Click! Team.
The Knowledge The j. Click! Analysis Tool
The Growth Local Growth (Intel Ireland) Growth in the US (Intel’s Virtual Factory) Global Growth (Intel’s Global Factory Network)
The Growth We have Exhibited j. Click! at various Intel Conferences This resulted in a demand for j. Click!
The Growth ACE … The Analytically Capable Employee Extraction Statistics Knowledge Enterprise Visualization
The Class We Developed a week-long immersive j. Click! Class There would be 4 Instructors for each Class And a JMP Journal forming the hub of the learning experience We sought to embed principles of Visualization The Class was taught in the data of the Students left the Class with Apps ready to use But the j. Click! experience did not stop at the end of the Class * Note: we also developed a 4 hr Introduction Class
The Community The j. Click! Quick Tip The j. Click! Wiki The j. Click! User Forum The j. Click! Video Series The Countless j. Click! 1: 1 s
The Benefits 100 s of 1000 s of Engineering Hours Saved Data Consolidation Standardization Truly Effective Meetings Managing the Resource A Total Solution
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Presentation Flow 1. Problem Description (taking too long, 90%, lack of standards) 2. The Lean Approach (DO, define our tools for DEA) 3. Our Solution … j. Click! (the secret sauce, simple, teachable) 4. Technical Growth (developed Extraction/JMP skills delivering ever improving solutions / complex problems; obstacles and philosophy of sharing; images / go live) 5. Local to Global Growth (Intel’s VF, Intel’s Conferences, Awards, the pull effect; 2010 IMEC ‘Hello World’; 6. The j. Click! Class – teach in local data; philosophies; created a love of j. Click!; 7. Support Systems (essentially 24*7 support; email, wiki, blog) 8. 2012 IMEC ‘Look what we have achieved’ 9. The Beauty of j. Click (jclick and the manager; 5 key benefits)
- Accenture delivery tools list
- Data collection procedure and data analysis
- Data preparation and basic data analysis
- Data acquisition and data analysis
- Directive supportive leadership
- High directive and high supportive behavior
- N=nc exp(-eg/2kt)
- Drift current
- Ceramic composition resistors
- Energy band in conductor semiconductor and insulator
- Drift current and diffusion current in semiconductor
- Advantage and disadvantage of semiconductor
- Journal of semiconductor technology and science
- Backgrinding process
- Principle of semiconductor laser
- 2 types of semiconductor
- Data quality is always a concern with secondary data
- Swot analysis for grocery delivery service
- Ca application delivery analysis reviews
- Packet data convergence protocol
- Accenture delivery tools used for reporting purpose
- High precision vs high recall
- High precision vs high recall
- High expectations high support
- High precision vs high accuracy
- Pengertian investasi
- Characteristics of a semiconductor diode
- Semiconductor ram memories
- Semiconductor tipo p