Reflection – Learning Launch 

 Challenge   I am a mechanical engineer of my organization ’s PECVD ( Plasma - Enhanced Chemical Vapor   Deposition ) group . Recently one of our big challenges is to qualify a new potential supplier for   manufacturing one plastic part for us . The project involves supplier engineers , buyers , financing   department and business management . We work very closely and have many meetings and   discussion around this topic . The biggest challenge of this project was lack of supporting data to   prove that the 2nd source supplier candidate can make reliable and strong part for our future   systems . We want good mechanical properties as current supplier ( 1st supplier ) but we want   reduce cost with local suppliers and different raw material source . We need to convince upper   executives that the parts of potential supplier are reliable and good to sell to our customers . 

 Selection   The target is simple and clear . We need to provide solid supporting materials to managers to   make them believe what we think , so we choose learning launch tool . Basically , it means we   need to do small and cheap experiments to a quickly test on our ideas or prototypes . 

 Application   In this case , we need acquire some samples from our suppliers to test our assumption : the part   they made is good enough . It is very impressive that , in the video , Rene Ten points our   judgements are all basically guesses . I totally agree with that statement . We need data and test   result to support the hypotheses , not just “ I think ” and move the project to next phase . It ’s   dangerous to send our parts to customers without any qualification data . If the quality is not   good enough , the flaws may cause machine shut down and lose a lot of money for schedule   delay and scrap useless wafers . Even worse , in high energy plasma condition , bad quality parts   may cause operator injury and death . 

 Fortunately , we have some samples from our potential supplier and send them to trustable 3rd   party test center to investigate the material properties . Next , to make sure the data is reliable   and worth comparison with 1st suppliers ’ , we asked them to follow ASTM standards for all our   samples . 

 Insight   By using the learning launch tool , our team validated the assumptions and made conclusion that   the parts they made is very reliable and good to be test in a large scope . Next , we plan to do   another bigger test : put the whole part in our process chamber , then borrow one chamber from   one of our customer in the future and working with our customers ’ process engineers . With   these supporting materials and collected data , I believe we can convince our managers to use   the parts for customers and save a bunch of money for our company . 

 Approach   It ’s our first time to try this design thinking activities , we may come across some errors during   the process . However , I still believe this is a great experience for all of us , especially engineers .   Also , next time with similar project , we can implement this technique in early state to boost our   qualification process and convince people to collect data as soon as possible . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection – Learning Launch 

 Challenge   I am a mechanical engineer of my organization ’s PECVD ( Plasma - Enhanced Chemical Vapor   Deposition ) group . Recently one of our big challenges is to qualify a new potential supplier for   manufacturing one plastic part for us . The project involves supplier engineers , buyers , financing   department and business management . We work very closely and have many meetings and   discussion around this topic . The biggest challenge of this project was lack of supporting data to   prove that the 2nd source supplier candidate can make reliable and strong part for our future   systems . We want good mechanical properties as current supplier ( 1st supplier ) but we want   reduce cost with local suppliers and different raw material source . We need to convince upper   executives that the parts of potential supplier are reliable and good to sell to our customers . 

 Selection   The target is simple and clear . We need to provide solid supporting materials to managers to   make them believe what we think , so we choose learning launch tool . Basically , it means we   need to do small and cheap experiments to a quickly test on our ideas or prototypes . 

 Application   In this case , we need acquire some samples from our suppliers to test our assumption : the part   they made is good enough . It is very impressive that , in the video , Rene Ten points our   judgements are all basically guesses . I totally agree with that statement . We need data and test   result to support the hypotheses , not just “ I think ” and move the project to next phase . It ’s   dangerous to send our parts to customers without any qualification data . If the quality is not   good enough , the flaws may cause machine shut down and lose a lot of money for schedule   delay and scrap useless wafers . Even worse , in high energy plasma condition , bad quality parts   may cause operator injury and death . 

 Fortunately , we have some samples from our potential supplier and send them to trustable 3rd   party test center to investigate the material properties . Next , to make sure the data is reliable   and worth comparison with 1st suppliers ’ , we asked them to follow ASTM standards for all our   samples . 

 Insight   By using the learning launch tool , our team validated the assumptions and made conclusion that   the parts they made is very reliable and good to be test in a large scope . Next , we plan to do   another bigger test : put the whole part in our process chamber , then borrow one chamber from   one of our customer in the future and working with our customers ’ process engineers . With   these supporting materials and collected data , I believe we can convince our managers to use   the parts for customers and save a bunch of money for our company . 

 Approach   It ’s our first time to try this design thinking activities , we may come across some errors during   the process . However , I still believe this is a great experience for all of us , especially engineers .   Also , next time with similar project , we can implement this technique in early state to boost our   qualification process and convince people to collect data as soon as possible .
### Output: 