City Scape

Using RAM Modeling to Drive Value Through Better Business Decisions

Content and Description

Content View
Viewable / downloadable shared learning appears here for logged in members only. (Some records have no viewable / downloadable items. Check the "Content Description" tab.)
Content Description
Original date: 
Tuesday, May 14, 2019

Companies are continually faced with competing priorities and limited resources, and, as a result, it's critical to drive value from the business decisions they make. With more focus on asset management principles, these decisions must be justified through demonstrated and quantified value to the business. With complex systems of equipment, such as a pipeline, determining the value of a project or proposed improvement can often be difficult to estimate—especially when considering an asset's lifespan. In such cases, a more systematic, data-driven approach may be required to predict value. RAM models are one such tool that can be used to achieve this. In this case study, we'll look at how RAM models have been developed and used at Enbridge Pipelines to identify and quantify the risks to throughput volume. The models include key equipment and operational events, along with specific throughput impacts and simulated long-range demand forecasts in order to prioritize the risks and focus resources toward capturing the best opportunities. When specific improvement opportunities (e.g., additional equipment sparing) are identified, alternate cases of the model can be created and the results compared to the base case to support decisions and justify projects. We'll explore some of the challenges we encountered during development and highlight examples of how this tool is being used to quantify value, as well as the approach taken to disseminate the information within the organization.

BoK Content Source: 
MainTrain 2019
BoK Content Type: 
Presentation Slides
Presentation Paper
Asset Management Framework Subject: 
02 Asset Management Decision Making, 2.01 Capital Investment Decision-Making, 2.02 Operations & Maintenance Decision-Making, 2.03 Lifecycle Value Realisation, 03 Lifecycle Delivery, 3.03 Systems Engineering, 3.06 Reliability Engineering
Maintenance Management Framework Subject: 
03 Asset Strategy Management, 3.2 Performance Measurement & Optimization, 05 Maintenance & Reliability Engineering, 5.1 Stats Analysis / Analytical Methods, 5.2 Reliability Modelling
Author Title: 
Sr. Reliability Engineer
Author Employer: 
Enbridge Pipelines Inc.
Author Bio: 

Dave Stoby has a B.Sc. in Mechanical Engineering from the University of Alberta. He has been registered as a P.Eng. in Alberta since 2004 and obtained his CRE with ASQ in 2017. Dave has 20 years of experience working in maintenance, design, and manufacturing in the power generation, mining, and oil & gas industries. He is currently a senior reliability engineer in the Liquids Pipelines Operations Engineering Department with Enbridge Pipelines Inc.

Author 2 Title: 
Engineer in Training
Author 2 Employer: 
Enbridge Pipelines Inc.
Author 2 Bio: 
Tanvir Bedi joined Enbridge in 2015 as a new graduate from the University of Alberta's materials engineering program. During her time at Enbridge, she has gained experience working in quality management and improvement for major projects, field engineering during pipeline construction, and, most recently, reliability engineering in the Liquids Pipelines Operations Engineering Department.