operators can be notified quickly to take proactive steps to avoid unplanned downtime . IIoT can also take predictive maintenance to an even higher level : sensors can collect data from machines using vibrational or infrared methods , warning of potential machine failures before they even happen ,” he said . Jose Favilla
DATA & ANALYTICS
“ This includes things like identifying potential safety hazards and adjusting procedures accordingly or applying predictive maintenance to minimise the impact of unplanned downtime and extend asset lifecycle ,” he continued .
AI technology and IIoT infrastructure allow manufacturers to maintain complete digital continuity across all stages of a product ’ s lifecycle . In doing so , it makes it possible to correct and optimise the design and quality of a product and can be particularly useful for complex production processes .
Miro Kostov , Product Manager at iBASEt , highlights the importance of increasing efficiency but adds : “ The greatest benefit that the IIoT brings to manufacturers is providing greater access to important operational data , made available in near real-time . This information can then be used to make smarter decisions , faster .”
“ One other benefit is higher productivity . Should an issue arise on the shop floor ,
“ Being able to apply machine learning ( ML ) or AI to factory data allows manufacturers to predict and plan for future outcomes ”
JOSE FAVILLA DIRECTOR , GLOBAL INDUSTRIAL SECTOR , INDUSTRY 4.0 LEADER AT IBM
operators can be notified quickly to take proactive steps to avoid unplanned downtime . IIoT can also take predictive maintenance to an even higher level : sensors can collect data from machines using vibrational or infrared methods , warning of potential machine failures before they even happen ,” he said . Jose Favilla
Jose Favilla brings 30 + years of extensive experience working with clients in over 30 countries to help them improve operational and business performance to IBM . Over his career , he has accumulated an in-depth understanding of the asset-intensive industries , including natural resources , process and discrete manufacturing . aimagazine . com 129