A Case Study on Enhancing Manufacturing Efficiency for the Food & Beverage Industry
A Set of Challenges
The challenge was multifaceted: enhance manufacturing efficiency, drastically reduce downtime, and maintain unwavering product quality across expansive global facilities. The business required a sophisticated solution capable of preempting equipment failures, thus curtailing maintenance costs and ensuring continuous production flow.
Implementation
The roll-out of ADI OtoSense was meticulously planned and executed:
Seamless System Integration
Comprehensive Training
Continuous Optimization
The Results Are In
The integration of the ADI OtoSense Smart Motor Sensor yielded significant benefits for food market customers:
Cost of Critical Motor Replacement Expenses
Early detection of potential failures allows for planning the maintenance.
Hourly Cost Impact From Unscheduled Downtime
Maintenance and repairs are done only when necessary.
Annual Issue Occurrence Frequency
Maintenance teams optimize their time and interventions.
Conclusion
The adoption of ADi OtoSense by this large international Food & Beverage company exemplifies the transformative impact of smart manufacturing technologies. The initiative not only optimized operational efficiency but also established a new benchmark for predictive maintenance and quality assurance in the industry.
Future Outlook
Encouraged by the success of this initiative, the company is keen on further leveraging ADI OtoSense across its global operations, continuing its pursuit of operational excellence and sustainable manufacturing practices.
Success Stories
Trusted by Experts
Explore transformative success stories from across industries. Witness how businesses have leveraged ADI Otosense to achieve remarkable efficiency gains, reduce downtime, and enhance decision-making, inspiring you to explore the possibilities within your own operations.
"Our collaboration with ADI Otosense on the Smart Factory NISSEI project is pivotal for our digital transformation, enhancing safety and efficiency."
Yoshihiro Murakami
Manager Presto Production Division
"Although the site had detected signs of abnormality due to increased vibration, it was difficult to determine whether the operation should be stopped immediately or wait until the next maintenance, given that the cause of the abnormality was not yet clear. SMS gave us insights into deciding the next action to prevent unplanned downtime."
Shota Akatsuka
Advanced Info Tech Center
"One of the major benefits of this sensor is that you don’t have to set alarm levels. This solution is self-learning. So, you don’t waste time on false positives, and you don’t have to deal with false negatives."
Joris Bracke
Directeur, Bracke EB Groep
Featured Resources
SMS Use Case for Pharmaceutical Industry
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SVideo of SMS Rotor Fault
AutoSense Smart Motor Sensor is a best-in-class, end-to-end predictive maintenance solution designed to address rotor faults. Rotor faults can significantly reduce the efficiency of the motor and compromise overall system performance.
Technical Article: Why Predictive Maintenance?
Read how implementing the ADI OtoSense Smart Motor Sensor (SMS) can increase productivity with software driven, secure predictive maintenance for electric motors.
