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Improving Machine Performance and Reliability With Predictive Maintenance

Few other industrial environments can match the diverse and difficult operating conditions found across the food and beverage processing industries, which can have an adverse impact on the machinery used on the factory floor and also on overall productivity.

With rising energy and labor costs, there is a need to optimize equipment reliability and to maximize uptimes so many operations are looking to maximize equipment output by extending the mean-time-between-failure and solving challenging application problems.

Reactive maintenance can be up to four times more expensive than planned maintenance, so many operations have moved to preventative maintenance strategies. Instead of carrying out repairs following a failure, regular checks and interventions are scheduled.

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What Is Machine Vision and How Can It Help?

People are often confused about what machine vision can and cannot do for a manufacturing line or process. Understanding how it works can help make decisions about if it will resolve problems with the application. So exactly what is machine vision, and how does it work?

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Four Industrial Robot Implementation Challenges for Manufacturers

Implementing industrial robots in a manufacturing setting isn't as simple as buying the robot and plugging it in. There are many different financial and logistical considerations to take into account before a robot can productively automate anything. While industrial robots may serve a wide variety of purposes, the challenges manufacturers face when implementing them are relatively similar.

Understanding the common challenges that manufacturers experience when investing in robotics can help you prepare for the day when you invest in new robotic automation equipment.

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