PRODUCTION & OPERATIONS
of the expected linear one and uncovered multiple process variants that were previously unknown .
“ These variants were then closely studied using ‘ Process Conformance ’ to understand deviant processes . The results were surprising , even to the line supervisors , operators and Kaizen leaders ,” adds Kirsten .
He anticipates that a future integration of AI and process mining will refine these processes even further , revealing deeper insights and offering more nuanced improvements .
“ These technologies , combined with the power of the IoT and advanced predictive analytics , will enable manufacturers to anticipate potential inefficiencies before they even occur , allowing for proactive measures rather than reactive solutions .”
As a result of analysing data closer to the source on the shop floor , manufacturers can achieve a faster insight-to-action cycle without the need for large amounts of data to be transferred to data repositories .
“ This not only speeds up the Kaizen process , but also helps ensure data security and integrity ,” adds Kirsten .
As organisations grapple with the challenges of the modern world , it ’ s not just about improving processes ; it ’ s about reimagining them for a new era . With the rapid advancements in technology and the increasing emphasis on data-driven decision-making , the principles of Kaizen , when applied digitally , can lead to transformative results .
“ For those manufacturing entities looking to invest in their future , the competitive advantage offered by Fujitsu ’ s Digital Kaizen is not just desirable – it ’ s indispensable ,” said Kirsten .
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88 February 2024