TOOLS FOR INDUSTRY 4.0…
How would you set up the cut and sew factory in the era of Industry 4.0? How would you do it better than the prior set-ups and also completely break from the standard cut and sew manufacturing model? These are some of the interesting questions which are quite a challenge for the apparel supply chain professionals. Most garment manufacturing facilities today fall between Industry 2.0 and 3.0 eras.
Industry 2.0 revolves around a very labour-intensive process in a factory setting where one sees a mass of people working with low technology equipment and machinery doing production work, while gathering data and analysis manually. It was only after 1969 that Industry 3.0 emerged with higher technology that facilitated faster and reliable production machinery as well as the start of automation.
This was the time when the PC was invented and software application was developed for manufacturing and the supply chain. This was also the time when the internet was established and it resulted in faster communication, sharing of information, bringing the world closer together for those companies which had worldwide operations.
Though apparel manufacturing is still today encapsulated between Industry 2.0 and Industry 3.0, Ed Dominguez, Senior Manager – Facilities Engineering and Compliance, Hanesbrands, tries to envisage how 4.0 will look like.
or to the internal systems like tablets or the shopfloor control system to show all kinds of information on machine performance and maintenance data to the production staff. Knowledge can be shared and also be transparent. In fact, hundreds of machines or sewing lines can be set up by the touch of a button. The application is limitless for IoT.
– This makes automation possible with visual imaging process using cameras. Auto correct features sense the work conditions and auto correct themselves to provide the best quality and performance. They sense themselves to work optimally based on the fabric, stitch type, parts, speed, etc. Basically we are looking for smart machines that can take decisions autonomously without humans.
Big Data –
‘Big data’, also called as ‘Predictive Analytics’, refers to the information and communication technologies’ trend of processing huge amounts of data in order to derive the appropriate data for rapid decision making which will help in increased productivity. Knowledge is power and with the amount of data/information that is captured in real-time, it is a huge advantage for the plant to be agile and for employees to make accurate and fast decisions to improve factory and supply chain performance.
In conclusion, it’s an ecosystem of computing and digitization universe but the technology is out there and emerging for those willing to see the potential. Senior Executives must serve as role models to inspire the culture of innovation and creativity for the people to follow this new revolution that is happening now.