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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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A New Age Approach to Traditional Manufacturing Issues

As the virtual world collides with real-world manufacturing issues, the winners will be those who successfully navigate the challenges of both the technology and the people who will operate it. That was the central theme of the 2018 Global Automation and Manufacturing Summit (GAMS), presented by CFE Media and Hannover Messe USA and sponsored by Siemens, SAP, Advantech, Beckhoff, Infor, Stratus, UL, Universal Robots, and Lapp.

The half-day thought leadership event that took place Sept. 12 as part of IMTS 2018 in Chicago drew a full house of manufacturing leaders looking to navigate the challenges faced in an age of robotics, artificial intelligence (AI), and the Industrial Internet of Things (IIoT).

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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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