Alcoa Improves Operational Efficiency And Asset Reliability With Predictive Maintenance

Published 21 July 2020 by Hugo Fuller & Malavika Tohani &
Asset Integrity Asset Performance Management Software Operational Excellence Predictive Analytics Case Study Market Insight

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Executive Summary

With the increasing adoption of asset performance management software in industrial markets during the last five years, recognition of the business potential of predictive maintenance is rising. Alcoa, a global aluminium producer and owner-operator of bauxite mines, has implemented predictive maintenance software to restructure its maintenance programme and practices. The software leverages artificial intelligence and machine learning to anticipate asset failure and send alerts to relevant personnel before failures occur. These advancements have precipitated a 30% increase in Alcoa’s operational efficiency and reduced maintenance costs by 20%.  

Table of contents

Asset Failure Prediction Software Helps Alcoa Modernize Its Maintenance Approach 
Alcoa Moves From Planned To Predictive Maintenance By Combining AI And Machine Learning 
Alcoa Enhances Maintenance Practices And Improves Operational Efficiency By 30% Through Adoption Of Predictive Maintenance Solutions 

Organisations mentioned

Oracle, OSIsoft, Senseye

About the authors

Hugo Fuller

Analyst

Hugo is a Technology Analyst in the Verdantix EHS practice. His research agenda focuses on covering connected worker technologies, best practices, market trends and growth strategies. Hugo joined Verdantix in 2020 having worked previously in public relations and earned media at Cision. He holds a bachelor’s degree in English from University College London.

Malavika Tohani

Research Director

Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on the digitization of Operational Excellence and covers operational risk technologies, best practices and growth strategies. Her recent research focussed on benchmarking the capabilities of the prominent operational risk software vendors. She has over 10 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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