Three layers of predictive maintenance - New horizons in a world of AI and Big Data
The key difference between preventive maintenance and predictive maintenance is that the latter means completing maintenance only when needed, as opposed to scheduled intervals.
ABB survey reveals unplanned downtime costs $103,000 per hour
It emphasizes the importance of effective maintenance strategies and service partnerships. 92% of respondents are interested in how outcome-based maintenance agreements can boost business success
What is Data Analytics?
Data analytics is a powerful tool for manufacturers, which involves applying mathematical techniques to extract valuable insights from data. This can help to improve systems, understand trends, and increase efficiency across various industries.
Predictive Maintenance as a Service: a Game-changer for Manufacturing.
Manufacturing encompasses a diverse and wide array of processes, industries, and raw materials. Yet all manufacturers everywhere share a common enemy: Unplanned Downtime, which harms productivity, asset health, brand reputation & dotted line.
From Downtime to Uptime - the Need for Predictive Maintenance
Manufacturers have long dealt with equipment failures. While they may be inevitable, equipment failures should not cause serious downtime, eat into profits or make manufacturers overspend their budgets.
8 Causes of Lost Productivity in Manufacturing and How Managers Can Address Them in 2022
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Addressing lost productivity is particularly critical in today's climate. Despite technological advancements and economic growth, manufacturing productivity has declined since 2010, likely for the first period in American history.
What Continuous Improvement Looks Like in Manufacturing
Manufactures that are able to focus in with laser precision on developing and maintaining a robust continuous improvement process will keep their competitive edge.
Improving Maintenance in Manufacturing
For those in high volume, low margin industries such as food and beverage or automotive parts manufacturing, preventative maintenance may be wrongly seen as unattainable, due to perceived high upfront costs.
6 AI Driven Ideas to boost Asset Performance Management
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Asset Performance Management software must evolve into knowledge hubs that not only deal with monitoring, but also gathering data from other dependent systems to provide much deeper insights and greater control.
7 Improvements to Manufacturing Processes - and How They Affect the Bottom Line
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New technologies and processes must have a demonstrable impact on a company's bottom line to make a convincing argument for adoption. In that spirit, here are seven recent manufacturing process improvements and how they affect profits.
Prerequisites For Establishing A Bulletproof Manufacturing Maintenance Program
The need to incorporate advanced maintenance programs increases as companies target safe and efficient manufacturing environments. But does a sophisticated maintenance program provide assurances that it will be foolproof?
The Next Challenge for Predictive Maintenance: Evolving Your Team's Skill Set
When advanced manufacturing technology handles diagnostic work, you can free up technicians' time to focus on undertakings with a greater impact on the business at large.
AI in Manufacturing Market 2020 -26 Emerging Trends and Top Key Player
AI in Manufacturing will help companies achieve higher productivity and cost effectiveness over a period. One of the major applications where AI is deployed in the manufacturing plants is Asset maintenance.
Tips For A Successful Preventative Maintenance Strategy
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Preventative maintenance is a comprehensive and facility wide program that ensures that you're protecting your investment dollars and supporting the bottom line of your facility, including ensuring the health and well-being of all associates working on the production line.
How Manufacturers are Leveraging New Technology to Meet Customer Demands
AI-guided selling enables analytics to move from descriptive to predictive and prescriptive analytics. The process uses customer and sales data for a scientific, data-driven approach to understand buyer processes and behaviors.
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