DIGITAL MANUFACTURING – STORY TELLING 

 CHALLENGE 

 There is a pressing need to deploy engineering solutions for increasing global resilience against   natural disasters and climate change . The 2020 Digital Manufacturing Challenge is a call for   action to inspire the next generation of engineers to think about ways to deploy engineering   design and manufacturing solutions to strengthen the response , mitigation and/or prevention of   such disruptive events and envision an optimistic view of robust , sustainable , smart – even   agile communities . The tools of digital manufacturing are many , varied and powerful . They   span the nano to the giga scales , transforming our world with data and engineering solutions to   meet the needs of both the few and the many – often on demand . Increasing interoperability ,   shorter product lifecycles , the ability to simplify or integrate features and functions , while   simultaneously reducing size , weight , part count , and the need for rapid deployment are all   providing opportunities to demonstrate both the capabilities and possibilities of digital   manufacturing . Students are asked to consider the many aspects of digital manufacturing and   how they can enhance sustainability , health , security , and the joy of living through applications   combining additive and subtractive manufacturing . 

 Cross - functional student teams are challenged to go beyond “ additive only ” to leverage the full   power of digital manufacturing through design , analysis and optimization for a higher purpose .   Possible solutions may include infrastructure - level systems or elements but are not necessarily   limited to : 

 •   Sustainable housing 

 •   Applications for abundant clean water and power 

 •   Rapid and remote or on - site disaster prevention , mitigation or response 

 SELECTION 

 Digital manufacturing has opened a new window in the way to approach the manufacture of   parts . The possible switch from manufacturing and holding physical stock to manoeuvring with   a fully - digital one is promising but still has not been undertaken‑or only in a small proportion ‑by the majority of the manufacturing companies . What are the cost and productivity frontiers   that halt the transformation taking place so far ? When does it make sense , in terms of   production volume and costs , to undertake this transformation ? What level of savings could be   achieved and what investments would be favourable ? The base line of the present chapter is to   depict quantitative tools to address the potential impact of endeavouring digital transformation   in manufacturing environments , considering costing and production variables , as well as   technological decision - making parameters . 

 APPLICATION 

 Industry 4.0 is signalling a change in the traditional manufacturing landscape . Also known as   the Fourth Industrial Revolution , Industry 4.0 encompasses three technological trends driving   this   transformation :   connectivity ,   intelligence   and   flexible   automation . 

 Industry 4.0 converges IT ( Information Technology ) and OT ( Operational Technology ) , to   create a cyber - physical environment . This convergence has been made possible thanks to the   emergence of digital solutions and advanced technologies , which are often associated with   Industry 4.0 . These include : 

 •   Industrial Internet of Things 

 •   Big Data 

 •   Cloud computing 

 •   Additive manufacturing ( AM ) 

 •   Advanced robotics 

 •   Augmented and virtual reality ( AR / VR ) 

 These technologies are helping to drive manufacturing ’s digital transformation through the   integration of previously disparate systems and processes through interconnected computer   systems across the value and supply chain . Embracing Industry 4.0 , digital manufacturing and   the interconnectivity that comes with it opens a myriad of benefits for companies , including   greater agility , flexibility and operational performance . 

 INSIGHT AND APPROACH 

 Improve operations visibility with the SAP Digital Manufacturing Cloud solution , a   manufacturing execution system ( MES ) of near real - time data and analytics . Execute   manufacturing processes , analyze manufacturing and business data , and integrate systems with   a cost - effective , high - quality , and resource - efficient method based on Industry 4.0 . 

 •   Cloud deployment 

 •   Visibility across the top floor and shop floor 

 •   Powerful key performance indicators ( KPIs ) and analytics 

 •   Detailed execution of production processes 


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: DIGITAL MANUFACTURING – STORY TELLING 

 CHALLENGE 

 There is a pressing need to deploy engineering solutions for increasing global resilience against   natural disasters and climate change . The 2020 Digital Manufacturing Challenge is a call for   action to inspire the next generation of engineers to think about ways to deploy engineering   design and manufacturing solutions to strengthen the response , mitigation and/or prevention of   such disruptive events and envision an optimistic view of robust , sustainable , smart – even   agile communities . The tools of digital manufacturing are many , varied and powerful . They   span the nano to the giga scales , transforming our world with data and engineering solutions to   meet the needs of both the few and the many – often on demand . Increasing interoperability ,   shorter product lifecycles , the ability to simplify or integrate features and functions , while   simultaneously reducing size , weight , part count , and the need for rapid deployment are all   providing opportunities to demonstrate both the capabilities and possibilities of digital   manufacturing . Students are asked to consider the many aspects of digital manufacturing and   how they can enhance sustainability , health , security , and the joy of living through applications   combining additive and subtractive manufacturing . 

 Cross - functional student teams are challenged to go beyond “ additive only ” to leverage the full   power of digital manufacturing through design , analysis and optimization for a higher purpose .   Possible solutions may include infrastructure - level systems or elements but are not necessarily   limited to : 

 •   Sustainable housing 

 •   Applications for abundant clean water and power 

 •   Rapid and remote or on - site disaster prevention , mitigation or response 

 SELECTION 

 Digital manufacturing has opened a new window in the way to approach the manufacture of   parts . The possible switch from manufacturing and holding physical stock to manoeuvring with   a fully - digital one is promising but still has not been undertaken‑or only in a small proportion ‑by the majority of the manufacturing companies . What are the cost and productivity frontiers   that halt the transformation taking place so far ? When does it make sense , in terms of   production volume and costs , to undertake this transformation ? What level of savings could be   achieved and what investments would be favourable ? The base line of the present chapter is to   depict quantitative tools to address the potential impact of endeavouring digital transformation   in manufacturing environments , considering costing and production variables , as well as   technological decision - making parameters . 

 APPLICATION 

 Industry 4.0 is signalling a change in the traditional manufacturing landscape . Also known as   the Fourth Industrial Revolution , Industry 4.0 encompasses three technological trends driving   this   transformation :   connectivity ,   intelligence   and   flexible   automation . 

 Industry 4.0 converges IT ( Information Technology ) and OT ( Operational Technology ) , to   create a cyber - physical environment . This convergence has been made possible thanks to the   emergence of digital solutions and advanced technologies , which are often associated with   Industry 4.0 . These include : 

 •   Industrial Internet of Things 

 •   Big Data 

 •   Cloud computing 

 •   Additive manufacturing ( AM ) 

 •   Advanced robotics 

 •   Augmented and virtual reality ( AR / VR ) 

 These technologies are helping to drive manufacturing ’s digital transformation through the   integration of previously disparate systems and processes through interconnected computer   systems across the value and supply chain . Embracing Industry 4.0 , digital manufacturing and   the interconnectivity that comes with it opens a myriad of benefits for companies , including   greater agility , flexibility and operational performance . 

 INSIGHT AND APPROACH 

 Improve operations visibility with the SAP Digital Manufacturing Cloud solution , a   manufacturing execution system ( MES ) of near real - time data and analytics . Execute   manufacturing processes , analyze manufacturing and business data , and integrate systems with   a cost - effective , high - quality , and resource - efficient method based on Industry 4.0 . 

 •   Cloud deployment 

 •   Visibility across the top floor and shop floor 

 •   Powerful key performance indicators ( KPIs ) and analytics 

 •   Detailed execution of production processes
### Output: 