Joachim Hensch Consulting Unveils Program to Enable Smart Factory Applications
Though lagging a bit compared to other industries, the fashion industry is on the verge of a huge digital technology revolution. Today, everyone in the apparel arena – from major players to small start-up labels – is talking about Industry 4.0 creating what has been called a “Smart Factory”.
To walk the walk – to building and scaling the smart factory – on a broad basis for apparel a lack of knowledge and experience has to be tackled. Professional and managerial training is downright precarious. While technical and higher education institutions are still adapting their curricula, there is a lack of required expertise - now. Added to this is the need to create the mindset, necessary for the paradigm shift at the management level.
Profound guidance is now available with an inverted (online) classroom program, offered by one of the few, who know what they are talking about, from someone who has made the “Digital Lean Factory” concept a reality - with sustainable success.
Leveraging untapped potential
The protagonist under whose leadership a prime example of clothing feasibility in a broad-scale industrial environment came true is Joachim Hensch. “It took my team and me five years to turn the Hugo Boss Izmir (Turkey) factory into a real smart factory,” said Hensch, tailor for bespoke men’s wear by trade, who has had a remarkable career in product development and production up to the position as managing director for the Izmir manufacturing plant of Hugo Boss Group as of 2015. His guest lectures at key apparel industry events around the globe remain legendary.
Mission completedAfter two decades with the Hugo Boss Group Joachim Hensch is ready for an all-new challenge. “The apparel business has excited me for more than three decades now,” he says as he turns to new tasks, driven by the spirit of his knowledge and experience on the way to support brands, organizations, start-ups, or single players in defining their individual digital strategies -- the essential starting point for any smart factory/sourcing concept,” Hensch emphasizes.
Inverted Online Class-Room Program These days Joachim Hensch Consulting has launched the Inverted Online Class-Room program, staggered with three degrees. The application protagonist’s framework for the Digital Lean Factory builds the foundation of the training, where everyone determines their individual learning pace for working through: • 6 modules for the Bachelor • 12 modules for the Champion • and a demand-based, upwardly open number of modules for the Master degree.
The big picture learning objective: Successfully implement Industry 4.0 - in daily interactions, digital and analog. “One aim is to enable attendees to re-consider the best way to look to their structures, the processes within their organization, their assets, and also workforce”, Hensch rolled out.
Time requirement • 3-4 hours/week including online meetings for guidance through the process • One-to-one sessions with Joachim Hensch • Specific expert group sessions
Extensive material plus exercise kit is provided offline for practice purposes and reviews to be provided by JHC (www.joachimhensch.com).
Think Big, start small, and scale fast True Industry 4.0 applications, defined as factories where physical production processes and operations are combined with digital technology, smart computing, and big data to create a more opportunistic system have remained in laboratory status to date.
We encounter them at trade fairs, or we read about the pilot factory by Asian e-commerce leader Alibaba in the Eastern Chinese city of Hangzhou (Taizhou) as part of its smart manufacturing business initiative.
The only true and fully implemented smart factory in the Western hemisphere is represented by the Hugo Boss production site in Izmir, where suits, jackets, shirts, and coats are manufactured in an area of around 65,000 m2 with 3,800 employees. Here, the market leader in menswear demonstrates what Industry 4.0 actually looks like in practice - with networked machines, in-depth data analyses, and flexible processes. NE