Amid a global manufacturing slowdown and rising inflation fears, digitalisation is widely recognised as key to surviving new challenges. To achieve higher productivity and greater competitive advantage, manufacturers across the world are accelerating their transition to smart factories.
Leveraging data effectively will help generate deeper insights and lead to better business decisions.
AI enables higher competencies in data collection—with the use of advanced sensors, embedded software, and robotics—to weave a more complete understanding of complex value chains.
One aspect of this is applying deep learning algorithms to process unstructured data. For example, companies can use software tools to detect danger zones in a coal mine to improve workplace safety.
As data grows, the volume of information rapidly becomes too much for individuals to react. A cognitive supply chain with intelligent workflows can support faster and better decisions, in a cost-optimised manner.
Automation technology is also driving rapid change in the manufacturing landscape and empowering human agents by automating repetitive and monotonous tasks.
Visual algorithms, smart workflows, and robotic tools can aid to reduce manual inspections, enabling real-time detection and correction procedures.
Mr Mark Adams, President and CEO of SMART Modular Technologies, recognises the value of automation, “Our vision of a highly digitised and connected manufacturing operations is possible through factory automation which was instrumental in enabling our operations to be highly productive and efficient with a pool of upskilled workforce to compete in I4.0. This is expected to improve yield in the production floor by 20% and increase throughput by 10%.”
Even in the haste towards digital transformation, many businesses recognise the importance of focusing on people as much as technology.
Investment in people is needed to scale an organisation’s digital efforts. Upskilling and maintaining an agile workforce, for example, is essential in keeping up with new technologies.
After all, engaging people and creating digital cultures is the first step towards advanced manufacturing.
Mr Nicholas Lee, 1st Vice Chair, Digital Transformation Chapter, SGTech concludes, “most importantly, it is putting people at the centre of this transformation, and taking care of people in our digital journey.”
Organisations who are kickstarting or have other needs in your Machine Learning journey may contact S & I Systems Pte Ltd for a complimentary digital transformation consultation. You can reach out to:
SGTech’s Digital Transformation Chapter gathers like-minded companies with various specialities, with the common aim of accelerating innovation to drive the successful digital transformation of Singapore businesses.
Please contact [email protected] to learn more about the Chapter or to join us as a member.