A Short Term Course
on
Elements of Smart Manufacturing
A Short Term Course
on
Elements of Smart Manufacturing
The Background
The emerging field of “Smart Manufacturing” is defined by NIST (National Institute of Standards and Technology), USA as “systems that are fully-integrated and collaborative, which respond in real time to meet changing demands and conditions”. A survey from NIST indicates that the manufacturer would save up to $ 57.4 billion annually by implementation of the smart manufacturing concepts. In addition to the reduced costs, the information captured during the manufacturing will change the way design is approached (e.g. push design for manufacturing) and reduces design cycle time. The field of smart manufacturing is wide and involves expertise from multiple interdisciplinary fields, such as networking, sensors, connectivity, signal processing, computing, data analytics, machine learning, statistics, machine tools, mechatronics, optimization, maintenance strategies etc. Hence, there is an immediate need to have a better understanding on the involved technologies and concepts that help researchers in generating novel ideas in their respective fields and embracing the Industry 4.0 towards a better society.
Objective and Scope
The course objective is to provide a gentle exposure to various enabling technologies that collectively provide a good platform to get started with realization of Industry 4.0 concepts in the manufacturing shop floor environment (as a case study). It will be a starting point for academicians interested in smart manufacturing so that some concepts may percolate the course material taught.
In addition, IIT-Madras has developed Smart Manufacturing solutions for machine tools, in collaboration with industry partners where the core concepts of Smart Manufacturing are applied and implemented to various machining systems, which is a combination of ‘machine tool’ and ‘machining process’. The scope of the program includes introducing the concepts of Smart Manufacturing and enabling technologies: cyber physical systems, machine learning, data analytics, Industrial Internet of things (IIoT), digital twins, implemented in the projects taken up by IIT-Madras and also includes various experts both from industry and reputed academia.
Faculty
The faculty will be eminent personalities drawn from reputed academic and research organizations along with various industries.