In a business environment ruled by high volatility, uncertainty, complexity, and ambiguity (VUCA), manufacturers in process industries are increasingly embracing emerging digital technologies to transform operations, control costs, reduce downtime, and improve profitability.
To address these challenges, companies in the process industries have set smart manufacturing goals in applying digital transformation technology to manufacturing operations. Yokogawa believes, for many end users, autonomous operations is the destination to achieve their smart manufacturing goals.
IA2IA - Industrial Automation to Industrial Autonomy
Currently, all companies are at some stage of automated operations as a starting point.
IA2IA is what Yokogawa foresees as the transition from Industrial Automation to Industrial Autonomy.
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IA2IA, what it means
Yokogawa sees IA2IA as a journey with different levels and has therefore developed a maturity model to establish customers’ current state and the next stage of IA2IA.
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A Journey Toward Autonomous Operations
Digital transformation leaders have the challenging of leading their organizations on the journey to a successful digital transformation.
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Key Business Objectives
COVID-19 accelerated the transition to autonomy. Companies have business objectives for greater autonomy through digital transformation initiatives.
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Enablers in Industrial Autonomy
The transition to industrial autonomy requires a variety of technologies across IT and OT. How to integrate and apply them is essential to the journey.
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Global Surveys on Industrial Autonomy
Yokogawa conducted 2 global surveys with 500+ professionals to gain a view of future trends in autonomy, and how companies are implementing autonomy.
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When other methods fail, AI provides critical tools to help plant personnel find and solve process problems
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