Cloud manufacturing: An Ubiquitous Manufacturing System

1. CLOUD MANUFACTURING
AN UBIQUITOUS MANUFACTRING SYSTEM
UNDER THE GUIDANCE OF:
Mr. H. S Dash
(ASSISTANT PROF. PRODUCTION ENGG.
DEPT)
PREPARED BY:
Sunil Kumar Pradhan
Email- pradhansunilkumar163@gmail.com

2. ABOUT ME:
SUNIL KUMAR PRADHAN
7TH SEM
PRODUCTION ENGINEERING
IGIT,SARANG

3. OVERVIEW
 INTRODUCTION
 CONCEPT AND ARCHITECTURE OF CLOUD MANUFACTURING
CLOUD COMPUTING
CLOUD MANUFACTURING DEVICES
 ICMS
 WORKING PROCESS
 LOCAL SERVER
 CASE STUDIES
 Cmfg FLOW WITH SCREENSHOTS

4. INTRODUCTION
EVOLUTION
DEFINATION

5. EVOLUTION:
HISTORICAL ASPECTS
The proposal of integrating robots with cloud has
been invented since 20years ago.
In 1995 BOHUS ET AL. suggested to implement
remote robot control over internet cloud.
In 2010, JAMES KUNER at Google introduced the
term, “ Cloud Robotics” to describe a new
approach that take the advantages of internet.

6. What is Cloud Manufacturing?
Cloud Manufacturing is a computer integrated
manufacturing (CIM) approach where
manufacturing hardware (like- Robots, CNC,
DNC) are operated and control over cloud.

7. Concept and Architecture of
Cloud Manufacturing
CLOUD COMPUTING
CLOUD MANUFACTURING DEVICE

8. CLOUD COMPUTING:
It is an information technology based
management system over cloud technology
which provides ubiquitous access to their
authorized user.
It works over local server or web-based cloud
technology.
It works in two phases.
1. Service Models
2. Deployment Models

9. Deployment Service

10. DEPLOYMENT MODEL

11. Cloud Architecture
Cloud Architecture is a system architecture
involving of a software system for the delivery
of cloud computing for multiple level works
like- communication, analysis, database
structure etc.
It forms within
the following
stages.

12. CLOUD MANUFACTURING DEVICES
 Only computer integrated manufacturing
(CIM) machinery can be used. Because cloud
manufacturing process is a CIM process.
(Example- CNC machine , DNC machine,
flexible manufacturing system (FMS)
Manufacturing robots or industrial robots can
be used by RaaS (Robot-as-a-service) model.
In this modern era, some enterprises
are using Human-Robots cloud (HRC).

13. ROBOT-AS-A-SERVICE (RAAS)
 It is a new emerging technology can take into
consideration of cloud technology.
As far as cloud is concern, the robot cells are
divided into 3 categories.
1. Conventional Robot Cell
2. Web Based Robot Cell
3. Cloud Based Robot Cell
 Each type of robot cell are comprising
different type of cloud connection.

14. RAAS DIAGRAM

15. INTEROPERABLE CLOUD
MANUFACTURING SYSTEM (ICMS)
ICMS is a system structure and integration
mechanism.
In terms of manufacturing sector, production
resources are integrated in this system.
The cloud layer work as a service co-ordinator
and supervisor of the whole production system.
Cloud users and administrators are able to access
the cloud with the help of Application
Programming Interface (API).

16. ICMS SYSTEM ARCHITECTECTURE

17. WORKING PROCESS
INTEGRATION OF ABOVE TECHNOLOGY
 At the Physical Resource Layer, manufacturing tasks assigned
by Cloud are taken by control units of production devices, e.g.
RaaS unit and Machine-as-a-Service(MaaS)unit.
 Robot Operation Systems(ROS) and CNC controllers interpret
the production documents from Cloud into the process
working steps and then controlling signals that directly drive
physical devices eventually.
 In this top down approach, human operators are also able to
interact with the cloud layer via devices like smartphone, PCs,
and PDAs.
 Real performance on shop-floor is mentioned by range
cameras, sensors and device controllers.
 Monitoring results are fed back to Cloud for service
supervision and future improvements. Thus, it forms a closed-
loop production system.

18. WHY LOCAL SERVER?
Efficiency and Security Approach
During the monitoring process, shop floor sensors
generates huge amounts of data dynamically. (e.g-
power, current, vibration robot strength etc)
It is inefficient to stream all the data to cloud
directly, since most contents are not essential but
generate heavy network traffic.
Thus local server works as a data filter. Raw data
filtered locally and uploaded in cloud.
In focus of security approach, it is more
convenient than cloud server.

19. MANUFACTURING PLAN WITH LOCAL
SERVER

20. CASE STUDIES
 Implementation & Requirement Analysis
Cloud-based Manufacturing Process

21. Implementation & Requirement
Analysis
 Virtual environments host and service module
provider
 32 cores and 132 gigabyte memories (Provide
computing power)
 Java Applet ( For user interface )
 MySQL Databases (For maintain to production
specification)
 Secure Sockets Layer Virtual Private Network
(SSL VPN) (For safety cloud system and user
privacy)
 Internet

22. CLOUD-BASED MANUFACTURING
PROCESS
Firstly a user access the cloud environment
through VPN over internet.
A cloud manager is able to manage the customer
orders and user profiles remotely.
Product 3D design is uploaded on cloud, then the
user machining services are interpret by smart
manager mechanism and create NC code.
Then it forms design-to- production
environment on the cloud.

23. CLOUD
MANUFACTURING
PROCESS FLOW
Step by step
process of
cloud
manufacturing
with service
interface
screenshots.

24. PROS (+)
Minimal management effort.
Flexible supports for service oriented
production models.
Accessible anywhere at any time.
Improved faster planning, accurate modeling.
 Ubiquitous manufacturing taking to next
generation approach.

25. Cons (-)
Start-up capitals are very high.
Higher level of professionals are required.
Data dynamics may occurs.
Unfair in focus of security approach.(Hacking)

26. CONCLUSION
Cloud technologies provide a shared
environment of manufacturing capability.
It is enabling to create cyber-physical system.
Human-robot collaboration is taking this
technology to the next generation model.

27. REFERENCES
[1] P. Mell, T. Grance, The NIST Definition of Cloud Computing, NIST Special
Publication, vol. 800, 2011, p. 7.
[2] L. Ren, L. Zhang, F. Tao, C. Zhao, X. Chai, X. Zhao, Cloud
manufacturing: from concept to practice, Enterp. Inf. Syst. 9 (2015)
186–209.
[3] X.V Wang, Et Al, Ubiquitous manufacturing system based on cloud.
ScienceDirect.
[4] Cloud Manufacturing system Cmfg, Wikipedia , Google
[5] J. Leukel, S. Kirn, T. Schlegel, Supply chain as a service: a cloud
perspective on supply chain systems, IEEE Syst. J. 5 (2011) 16–27.
[6] KTH company from Switzerland , https://www.kth.se/en
[7] KTH Switzerland Alumni Chapter | KTH,
https://www.kth.se/en/alumni/.../kth-switzerland-alumni-chapter-
1.453154

28. To Listening My Presentation

29. Question Please !!!