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
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.
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.
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.
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.
Manufactures that are able to focus in with laser precision on developing and maintaining a robust continuous improvement process will keep their competitive edge.
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.
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.
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.
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?
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 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.
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.
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.
Sometimes the most difficult thing about AI is simply knowing where to start. Identifying potentially impactful use cases is one of the most cited roadblocks for organizations seeking to leverage AI in their business.
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The Model TR1 Tru-Trac® linear measurement solution is a versatile option for tracking velocity, position, or distance over a wide variety of surfaces. An integrated encoder, measuring wheel, and spring-loaded torsion arm in one, compact unit, the Model TR1 is easy to install. The spring-loaded torsion arm offers adjustable torsion load, allowing the Model TR1 to be mounted in almost any orientation - even upside-down. The threaded shaft on the pivot axis is field reversible, providing mounting access from either side. With operating speeds up to 3000 feet per minute, a wide variety of configuration options - including multiple wheel material options - and a housing made from a durable, conductive composite material that minimizes static buildup, the Model TR1 Tru-Trac® is the ideal solution for countless applications.