City Scape

5.0 Maintenance and Reliability Eng General

  • MRO Stores Support of Maintenance

    BoK Content Type: 
    Article / Newsletter
    BoK Content Source: 
    Practitioner Produced
    Original date: 
    Thursday, April 2, 2020
    How well is your MRO Stores system integrated with your maintenance requirements to ensure effective support of your organization’s maintenance efforts?Most of MRO stores efforts are to provide parts and materials to both Operations and Maintenance. For this article, the focus will be upon MRO stores support of Maintenance.
  • Maintenance and Reliability Journey of a Midstream Pipeline Operator

    BoK Content Type: 
    Presentation Slides
    Presentation Paper
    BoK Content Source: 
    MainTrain 2019
    Original date: 
    Sunday, September 19, 2021
    Enbridge Liquids Pipelines is at the midpoint of a multi-year journey to advance the M&R program for its electrical and mechanical assets. This presentation will share successes and challenges while aiming to apply M&R best practices to a midstream pipeline operator. Our initiative will improve M&R processes and culture, with a focus on improving multiple work streams. These include the planning, scheduling, and execution of preventative and predictive maintenance, information management, spare parts, and CMMS use.
  • Case Studies on Maintenance Management and Reliability Improvement

    BoK Content Type: 
    Presentation Slides
    Presentation Paper
    BoK Content Source: 
    MainTrain 2019
    Original date: 
    Wednesday, May 15, 2019
    Even today, many organizations see maintenance as a necessary evil neglecting the importance it has toward attaining optimum business results. These organizations have maintenance managers, supervisors, and technicians who are responsible for the preservation of their physical assets. Upon talking to and sharing experience with many maintenance colleagues in various countries, I've learned that most maintenance supervisors and managers don't have a formal maintenance educational background, yet they must make important decisions regarding assets affecting their business's bottom line. We learn about maintenance the hard way, learning from equipment failures and guessing how to avoid them by applying what has resulted well in the past and what the equipment manufacturer tells us. When organizations realize they must do something about maintenance to improve their business bottom line, they're exposed to a lot of information about many tools boasting to offering what they need to do better. This presentation will showcase the results of various case studies performed by our consulting firm at crude oil pumping, pharmaceutical, and water treatment organizations located in North and South America. Several methodologies ranging from Uptime (Strategies for Excellence in Maintenance Management) to RCM-R, ACA, RCA, and even PdM were used to tackle situations at the strategic, tactic, and operational levels.
  • Root Cause Analysis: Driving Bottom Line Improvement by Preventing One Failure at a Time

    BoK Content Type: 
    Presentation Slides
    Webcast
    BoK Content Source: 
    Practitioner Produced
    Original date: 
    Thursday, February 28, 2019
    Many maintenance and reliability staff are so busy fixing problems that they never get the chance to prevent them. In a reactive work environment, there is simply no time to spare. Root cause analysis (RCA) gives us an easy-to-implement approach to preventing failures that integrate with our current troubleshooting efforts and drives bottom-line business improvement. We can make our workplaces safer by reducing the number of unexpected failures, which will then result in improving our business performance, increasing our facility’s throughput and reducing the money spent on repairs – straight to the bottom line.
  • Reliability Centered Maintenance Re-Engineered RCM-R(r) - An Introduction

    BoK Content Type: 
    Presentation Slides
    Webcast
    Presentation Paper
    BoK Content Source: 
    Practitioner Produced
    Original date: 
    Monday, June 11, 2018
    Reliability Centered Maintenance – Reengineered, provides an optimized approach to a well established and highly successful method used for determining failure management policies for physical assets. It makes the original method that was developed to enhance flight safety, far more useful in a broad range of industries where asset criticality ranges from high to low. RCM-R® is focused on the science of failures and what must be done to enable long term sustainably reliable operations. If used correctly, RCM-R® is the first step in delivering fewer breakdowns, more productive capacity, lower costs, safer operations and improved environmental performance. Maintenance has a huge impact on most businesses whether its presence is felt or not. RCM-R® ensures that the right work is done to guarantee there are as few nasty surprises as possible that can harm the business in any way. RCM-R® addresses the shortfalls of RCM that have inhibited its broad acceptance in industry. Little new work has been done in the field of RCM since the 1990’s, yet demand for such a method, better adapted to industrial applications is higher than ever and growing. Demographics and ever more complex systems are driving a need to be more efficient in our use of skilled maintenance resources while ensuring first time success – greater effectiveness is needed. RCM-R® was developed to leverage on RCM’s original success at delivering that effectiveness while addressing the concerns of the industrial market. RCM-R® addresses the RCM method and shortfalls in its application. It modifies the method to consider asset and even failure mode criticality so that rigor is applied only where it is truly needed. It removes (within reason) the sources of concern about RCM being overly rigorous and too labor intensive without compromising on its ability to deliver a tailored failure management program for physical assets sensitive to their operational context and application. RCM-R® also provides its practitioners with standard based guidance for determining meaningful failure modes and causes facilitating their analysis for optimum outcome. It places RCM into the Asset Management spectrum strengthening the original method by introducing International Standard based risk management methods for assessing failure risks formally. RCM-R® employs quantitative reliability methods tailoring evidence based decision making whenever historical failure data is available.
  • The What & More Importantly, The Why of the Weibull Analysis

    BoK Content Type: 
    Article / Newsletter
    BoK Content Source: 
    Practitioner Produced
    Original date: 
    Wednesday, May 9, 2018
    Every failure is part of a puzzle. The equipment we are maintaining is trying to communicate with use with each and every failure. From alignment errors to lubrication mistakes, to material degradation or wear, there are clues and indications in every failure. And, if we’re paying attention, we can sort out the root cause of the failure along with replacing or repairing the damaged parts. Sometimes though the damage is caused by another issue with the system.
  • Living With The 6 Failure Patterns

    BoK Content Type: 
    Article / Newsletter
    BoK Content Source: 
    Practitioner Produced
    Original date: 
    Wednesday, May 9, 2018
    Most maintenance and reliability professionals have seen the six failure patterns (or failure hazard plots), described by Nowlan and Heap. Namely: Bathtub Curve, Wear Out, Fatigue, Initial Break-In, Random, and Infant Mortality. The majority of failures experienced are not directly related to age, but are the result of random or induced failures.   So how does this help when establishing a maintenance program?
  • Root Cause Analysis The Key To Breaking The Reactive Cycle

    BoK Content Type: 
    Article / Newsletter
    BoK Content Source: 
    Practitioner Produced
    Original date: 
    Wednesday, May 9, 2018
    By using Root Cause Analysis you can end the re-occurring issues that arise in your plant.  Root Cause Analysis is used to determine the underlying cause or causes of a failure so that steps can be taken to manage those causes and avoid future occurrences of the failure.Performing a Root cause analysis can be a quick simple task or a in depth difficult task depending on the complexity of the issue being addressed.
  • Reliability Engineer – What should be your role?

    BoK Content Type: 
    Presentation Slides
    Presentation Paper
    BoK Content Source: 
    MainTrain 2018
    Original date: 
    Monday, March 12, 2018
    Reliability engineers in industry are often thrown into the position with very little knowledge about what they’re supposed to do. Or, sometimes, the organization isn’t set up to take advantage of what a reliability engineer can do. Sometimes these engineers have the theoretical knowledge from college but never learned what will be used in the real world. This presentation will address all the basics a new reliability engineer must know. We’ll focus on managing existing equipment and provide an overview of the reliability engineer’s role in new equipment procurement and design. We’ve found that the role of a reliability engineer is not often clear; in fact, many reliability engineers end up doing a lot of work not always related to what they should do.
  • The Lies Reliability & Maintenance Professionals Tell

    BoK Content Type: 
    Presentation Slides
    Presentation Paper
    BoK Content Source: 
    MainTrain 2018
    Original date: 
    Thursday, March 1, 2018
    The tenets of reliability can be fun and messy. In this workshop, we’ll help you better understand these concepts and where the confusion creeps in. This session will be great for those studying for an exam or for those who want to geek out. You’ll leave with new knowledge, interesting facts, and explainable models that you can take back to your facility. We’ll look at turbo implementations; the criticality of criticality (both of them); the P-F interval; the funky failure curves of RCM; why root cause analysis is a lie; and why predictive tools can’t predict. Bring your own confusions and a willingness to participate in the dialogue as we break each of these down and toss out a few lies.