Industry 4.0 Transformation Journey using the LEAD Framework

Transforming and embarking on a digital transformation journey in the manufacturing sector should not be treated as a one-off exercise but be accepted as a continuous and iterative process.

This introductory course by A*STAR Advanced Remanufacturing and Technology Centre (ARTC) is aimed at developing an understanding for a manufacturing organisation on how to use a validated structured approach via the LEAD framework to embark on a digital transformation and implementation.

Venue:
Advanced Remanufacturing and Technology Centre (ARTC)
3 CleanTech Loop, #01/01
CleanTech Two, Singapore 637143

International Participant: S$1,080/pax w/GST
Singapore Citizen (39yo or younger) or SPR: S$324/pax w/GST
Singapore Citizen (40yo or older): S$122.13/pax w/GST
Enhanced Training Support for SMEs: S$122.13/pax w/GST

Fees reflected are inclusive of 8% GST (in 2023).

This course is targeted at organisations and/or individuals looking to have the first understanding or to develop the capability of the direct deposition method for manufacturing and/or remanufacturing applications. It is also suitable for those who are currently employed or who wish to be employed in manufacturing-related fields with the typical candidate profiles being but not limited to the following:

• Process technician / engineer
• Production supervisor / manager
• Quality control manager / engineer

PRE-REQUISITES

• Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
• Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
• Proficiency in written and spoken English.

The course aims to help participants address the following organisation’s performance gaps:

• Learn the LEAD framework to “recognise” requirements to lead an organisation towards an Industry 4.0 Digital Transformation.
• Help manufacturing organisations to LEARN about available best practises and EVALUATE, ARCHITECT and DELIVER plans to support their Digital Transformation journey.
• Understand possibilities and options to digitalise their manufacturing operations based on demonstrators at the Model Factory@ARTC.

Upon Completion
Participants will be awarded with a Certificate of Attendance (COA) by ARTC if they meet the following criteria:
– Achieve at least 75% course attendance;
– Take all assessments; and
– Pass the course.

Mr Anikath Murali Das is the Senior Programme Manager of the Model Factor@ARTC that showcases Industry 4.0 technologies via physical demonstrators in a workshop environment. He has over 30 years of industry experience in a major MNC (culminating as a Senior Director) in the computer sector and as well as strong industrial consulting experience. He has had significant working experience in multiple countries including Switzerland, Italy, India, Singapore and managing teams in China and Thailand.

Dr Antonio Feraco is the Managing Consultant for Industry 4.0 (I4.0) with A*STAR ARTC. He is responsible for supporting the process manufacturing sector into adopting I4.0 technologies to enable end-to-end integration, improve HSE and optimising efficiency. With a PhD in Artificial Intelligence, a background in Industrial Engineering, Dr Feraco ran successful projects in oil and gas, mining and pharma, and has been part of several international initiatives in EU and ASEAN, as a Digitisation and Industry 4.0 expert. He previously worked as an R&D manager, strategy and management consultant and technology advisor and developed a comprehensive experience in AR, VR, AI, business process optimisation, project management in several sectors such as energy efficiency and robotics. Dr Feraco is also a Professor and Chair of Corporate Governance at the University of Vitez, Bosnia and Herzegovina, and a trainer with the National University of Singapore. He delivers training for industry and academia in both technical topics as Predictive Maintenance, and non-technical subjects like Management of Innovation Processes and Technology Transfer Strategies.

AAIS reserves the right to adjust the course pricing and to re-schedule or cancel any course due to unforeseen circumstances, course commencement is subject to minimum class size requirements.