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Uptime Award Winner • Best Reliability Engineering for Maintenance Program • Central San

Uptime Award Winner • Best Reliability Engineering for Maintenance Program • Central San

Central Contra Costa Sanitary District (Central San) provides wastewater collection and treatment for approximately 481,600 residents and 3,000 businesses in Contra Costa County. Central San's main facility is a treatment plant in Martinez, California, processing an average of 32 million gallons per day of municipal wastewater and providing up to 3 million gallons per day of recycled water to businesses in the community.

Uptime Award Winner • Best Partnership in Reliability • Bristol-Myers Squibb & JLL

Uptime Award Winner • Best Partnership in Reliability • Bristol-Myers Squibb & JLL

The journey to reliability is not one that any one person or any one organization for that matter should go on alone.

Uptime Award Winner • Best Work Execution Management Program • Stanford Health Care

Uptime Award Winner • Best Work Execution Management Program • Stanford Health Care

Stanford Health Care, with facilities primarily located in Northern California, is a premier not-for-profit academic healthcare system with leading edge clinical capabilities led by world-renowned Stanford University physicians.

Uptime Award Winner • Best Lubrication Program • Portland General Electric

Uptime Award Winner • Best Lubrication Program • Portland General Electric

The most important part of building the sustainable lubrication program at the PGE Beaver Plant, (where are the parts are clicking) was building a successful team.

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Uptime Award Winner • Best Overall Program • Southern Gardens Citrus

Uptime Award Winner • Best Overall Program • Southern Gardens Citrus

This presentation will show where we started, how we got to where we are now, and where we plan on going in the future.

Uptime Award Winner • Best Leadership Program • Yanbu NGL Fractionation Plant

Uptime Award Winner • Best Leadership Program • Yanbu NGL Fractionation Plant

Maintenance Excellence Management (MEM) is Yanbu NGLF initiative, which was developed to enhance maintenance processes and monitor their performance through clear, defined procedures which developed by related SMEs. Maintenance Excellence Management MEM was constructed to be in line with ARAMCO Corporate Maintenance Services track to consistently and systematically achieve and sustain industry leading performance.

Uptime Elements

Uptime Elements

Terrence O'Hanlon, CEO & President

Reliabilityweb.com & Uptime Magazine

IBM Maximo Asset Health Insights Game Show!

IBM Maximo Asset Health Insights Game Show!

Come join us for a Maximo Asset Health Insights (MAHI) game show to learn in a fun and interactive environment how you can leverage real-time data with your Maximo system. 

 ERBESSED INTRUMENTS

ERBESSED INTRUMENTS

The First and Only Wireless Universal Accelerometer for Vibration Analysis

Early Benefits of the Uptime Elements Journey

Early Benefits of the Uptime Elements Journey

The SGL Composites Maintenance Department was formed in 2013, but began its journey to Reliability after Lee McKinley was positioned as the Head of the Maintenance Department in late 2014 and started discussions with Jim Carrel, CRL (Reliability Coach, Reliability Management Strategies) in the Spring of 2015.

Reliability Is Not a Destination. It’s a Continuous Journey

Reliability Is Not a Destination. It’s a Continuous Journey

This presentation will explore the concept that equipment reliability is not a goal to be achieved and then pat yourself on the back and walk away.

Emerging Industrial Internet Technology Can Reduce Costs and Dangers in Steam Systems

Steam systems are vital to the smooth operation of so many manufacturing plants and other facilities. Numerous components are at work to ensure this smooth operation, but none more important than steam traps. Yet, despite their critical function, the majority of plants rely on time- and labor-intensive manual inspections. Yet, with the emergence of industrial Internet technology, steam traps make ideal candidates for automated sensing technology.