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Make Your Legacy Assets Smart – A real case study of using AI for asset health and performance
Presenter: Blair Fraser
September 4, 2018
Equipment condition monitoring had been widely used to improve reliability and uptime. However, in the Bio Pharma industry, the complexity of the processes and batch cycles added significant challenges for the usage of the technology. This presentation will demonstrate, using an ongoing, real life case most of the misconceptions and challenges in batch process Condition Monitoring and how success can be achieved and a path to AI for equipment Condition Monitoring.
How the Perkins Reauthorization will Impact the Future of the Workforce
Presenter: Devin Sears
September 12, 2018
Join the SMRP Government Relations Team for a first look at H.R. 2353, the Strengthening Career and Technical Education for the 21st Century Act, which reauthorizes the Carl D. Perkins Career and Technical Education Act (Perkins) that was signed into law by President Trump. It has been twelve years since Congress passed the last Perkins reauthorization and now funding for the Carl D. Perkins Career and Technical Education Program has increased by up to $1.3 billion annually. As a result, employers will be able to fill the high-skill jobs of tomorrow and take advantage of enhanced funding opportunities.
The future of the workforce is ever more reliant on science, technology, engineering, and mathematics (STEM) disciplines and other skilled labor. Now, that the Perkins reauthorization has been signed into law we are entering into planning for the transition phase with the new law taking effect July 1, 2019. We will examine the opportunities for workforce development as a result of the federal and state funding increases that will be enacted beginning in fiscal year 2019 through fiscal year 2024.
Realizing Value with Data in a Maintenance and Reliability Program
Presenter: Scott Larson, CMRP
September 13, 2018
Many companies today are recognizing the importance and opportunity to better utilize data in their maintenance and reliability programs. This paper will discuss where to begin by exploring the infrastructure and building blocks that need to be in place to move data capture to the next level. It will then move onto exploring the different ways that time series data, both automatically and manually collected, can be used to support and enhance a company’s maintenance and reliability programs by utilizing new technologies along with other data and process analytical methods.