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SUMMARY:Smart Manufacturing: Operations Planning Perspective  - Professor 
 Bhupesh Lad (Indian Institute of Technology\, Indore)
DTSTART:20161122T140000Z
DTEND:20161122T150000Z
UID:TALK68277@talks.cam.ac.uk
CONTACT:Rengarajan
DESCRIPTION:The combination of sensors and computational infrastructure is
  becoming increasingly pervasive on the industry shop-floor. This is enabl
 ing automation of more and more industrial practices under the banner of I
 ndustry 4.0. Such developments are driving the need to replace conventiona
 l planning tools with schemes that can utilize the capabilities of Cyber-P
 hysical Systems (CPS) and Industrial Internet of Things (IIoT). The future
  is a place where intelligence is endowed to every entity on the shop floo
 r. It is necessary to develop new schemes that can unlock the potential of
  decentralized data observation and decision-making. Due to the huge diver
 sity of industrial assets in terms of structure\, operation and automation
  level\, in addition to the shallow penetration of embedded-sensor technol
 ogy into the existing systems\, existing development model do not suffice 
 the adequacy of Industry 4.0\, thus making deployment of such CPS a bottle
 -neck. To overcome this bottle-neck\, an event-based approach is developed
  for creation of a transient system\, ‘cyber-twin\,’ for industrial as
 sets expediting the development of CPS for Industry 4.0 realization. Integ
 ration of the proposed cyber twin with existing communication standards li
 ke MTConnet is also studied. \nUtilizing the concept of cyber twins\, a di
 stributed algorithm is developed for the first time that performs intellig
 ent maintenance planning for identical parallel multi-component machines i
 n a job-shop manufacturing scenario. The results are encouraging in terms 
 of computation time\, quality of solution and scalability. The supremacy o
 f the devised algorithm is demonstrated over conventional centralized heur
 istics such as Memetic Algorithm and Particle Swarm Optimization. We belie
 ve that such distributed algorithms will give new research directions to c
 onventionally done centralized operations planning approaches in the indus
 try. Further\, it becomes an integral and a very important part for any In
 dustry 4.0 implementation. Furthermore\, a generic\, self-sustained\, syst
 em and method for autonomous and goal-oriented communication between cyber
 -twins is proposed in-detail\, forming the bedrock concept for creation of
  a Social Network of Machines. \nIn essence\, the talk will highlight abou
 t the development of a system and method for systematic implementation of 
 Industry 4.0 in manufacturing industries irrespective of the readiness of 
 their current infrastructure. \n
LOCATION:Seminar room 1\, Institute for Manufacturing\, Cambridge
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