1. SCOPE OF SMART MANUFACTURING
Smart manufacturing is the technology which integrates various other technologies like bigdata processing, artificial intelligence, virtualization and advanced robotics technology in order to enhance the performance of Current Manufacturing System by optimizing the energy and workforce required, cost effectiveness, time saving and quick response to market demand. This led to the development of Smart Manufacturing System which can operate in two modes; semi-autonomous and fully autonomous.

In the semi-autonomous system, the goals and the parameters are defined by the production engineer in the production system whereas in a fully automatic system, optimal operating parameters are defined and implemented automatically to all the interlinked production units by the Smart Manufacturing System itself. The major announcements of the leading countries in technology are Industry 4.0 by Germany, Made in China 2025 by China, Industrial Internet by the USA, and Society 5.0 by Japan.

2. OPPORTUNITIES AND GROWTH
The Smart Manufacturing System has a huge market opportunity and is being widely adopted in the manufacturing system throughout the world. The small and medium enterprises are likely to adopt intelligent manufacturing. The accommodation and food services, manufacturing, transportation, and warehousing industries have high potential to
automate. Since these sectors have the highest possibility for automation, they have become the centre of study for the implementation of the latest technology in order to improve productivity and performance. The global smart manufacturing market which is valued at USD 97.6 Billion in 2022 is projected that it can reach up to USD 228.3 billion by 2027.

3. SKILLS NEEDED FOR NEW DATA DRIVEN ENVIRONMENT
The major skills required for New Data-driven Manufacturing in Smart Environment are:

  • Critical and Analytic Thinking.
  • Communication – Listening / Speaking.
  • Mathematics.
  • Sustainable Practices.
  • Teamwork.
  • Maintenance, Installation, Repair and Production.
  • Problem Solving / Decision Making.
  • Employee Initiative
  • Critical and Analytic Thinking.
  • Communication – Listening / Speaking.
  • Mathematics.
  • Sustainable Practices.
  • Teamwork.
  • Maintenance, Installation, Repair and Production.
  • Problem Solving / Decision Making.
  • Employee Initiative

4. CAREER OPPORTUNITIES
The major career opportunities are as follows:

  • Smart Factory Manager
  • Digital Twin Engineer
  • Robot Teaming Coordinator
  • Smart Safety Supervisor
  • Smart QA Manager
  • Design Engineer
  • Automation Engineer