RND Biotech Case Study:
Implementing Predictive Maintenance for Ultra-Low Temperature Freezers
Submitted By:
Regina Gracia E. Sandoval
Carolyn Pulanco
Glaiza Bustria
Joyce Domingo
Jeralyn Barrios
Arabelle Loresto
OM4A
RND Biotech Case Study:
Implementing Predictive Maintenance for Ultra-Low Temperature Freezers
October 2008
CHALLENGE:
* RND Biotech operates 300 ultra-low freezers (-80°C) that frequently fail, even though maintenance activities are performed on a quarterly basis. * RND Biotech is currently replacing freezers as they fail, rather than trying to repair them, to keep up with the required freezer capacity. * When freezers fail, RND Biotech potentially loses product development samples that represent months of research. * RND Biotech would like to implement a predictive maintenance strategy and continuously monitor freezer function, which they believe will improve uptime, and free up skilled labor for other tasks. * However, they have not found a comprehensive method that is cost-efficient and non-invasive to implement a predictive maintenance strategy. Most alternatives only monitor freezer temperature which is not enough for predictive monitoring.
SOLUTION:
RND Biotech installed a new automation technology which did not incur any disruption to ongoing processes and required minimal installation cost. The solution, a non-invasive wireless sensor system, allowed RND Biotech to monitor multiple freezer data points, including chamber temperature and compressor amperage.
RESULTS:
* RND Biotech immediately found distressed freezers and were able to prevent failures. The freezers were able to be repaired, as opposed to replaced, saving approximately $7,000 per freezer. * RND Biotech is now able to implement a predictive maintenance strategy for their freezers.
Challenge
RND Biotech is a biotechnology research and development company. The company has 300