10.4 Maintenance Practices Improvements

When a defect occurs in a physical asset, it’s often not immediately detectable by operators. In fact, in some cases the defects are not visible to the naked eye. However, from the moment a defect occurs until it is found, there is a risk that the defect will grow in severity, and possibly transition into a failure, resulting in reduced or halted production. At a municipal transit company, the Nondestructive Testing (NDT) team uses specialized equipment to inspect the train tracks and identify the location and severity of any defects. Due to the limited hours during which the team can perform their work, the whole subway system can only be tested once per year. Using their data on train tracks and found defects, we investigate efficient ways to use the NDT team’s fixed resources in order to improve the reliability of the train track system.

Maintenance practices have evolved from breakdown maintenance to predictive maintenance. As maintenance practices have evolved, so have maintenance improvement programs. Each evolution added a portion of what drives maintenance value as the key element. These programs created improvements, but generally failed to achieve their full objectives. In part, this was because they focused on one driver of maintenance value and did not consider the other drivers.This presentation will describe a pragmatic approach of maintenance improvement based on the drivers of maintenance value. It will do this by exploring the drivers of maintenance value. It will then examine the maintenance practices and improvement programs such as RCM (Reliability Centered Maintenance) and TPM (Total Productive Maintenance) and identifying which driver of maintenance value they focused on. The paper will discuss why a sustainable program needs to examine all aspects of maintenance value and describe an approach that can be used to identify and implement improvements.

Written by a Certified Maintenance and Reliability Professional (CMRP) with more than three decades of experience, this resource provides proven planning and scheduling strategies that will take any maintenance organization to the next level of performance. The book resolves common industry frustration with planning and reduces the complexity of scheduling in addition to dealing with reactive maintenance. You will find coverage of estimating labor hours, setting the level of plan detail, creating practical weekly and daily schedules, kitting parts, and more, all designed to increase your workforce without hiring. Much of the text applies the timeless management principles of Dr. W. Edwards Deming and Dr. Peter F. Drucker. You will learn how you can do more proactive work when your hands are full of reactive work.  Maintenance Planning and Scheduling Handbook covers:   •The business case for the benefit of planning.   •Planning principles.   •Scheduling principles.   •Handling reactive maintenance.   •Planning a work order.   •Creating a weekly schedule.   •Daily scheduling and supervision.   •Parts and planners.   •The computer CMMS in maintenance.   •How planning works with PM, PdM, and projects.   •Controlling planning: the best KPIs KPIs for planning and overall maintenance.   •Shutdown, turnaround, overhaul, and outage management.   •Selling, organizing, analyzing, and auditing planning.           Palmers "Maintenance Planning and Scheduling Handbook" is listed a reference for Module 6 of the PEMAC  Maintenance Management Professionals (MMP) Program.

We’re currently rolling out an Asset Integrity Management System (AIMS) across our terminal network, which consists of nine terminals across Canada and the U.S. We’re publishing 27 new standards as part of this initiative that cover a variety of topics such as risk assessment, inspection planning, recordkeeping, data management, and relevant codes, standards, and regulations. This presentation will focus on the training and rollout of this program and will highlight some of the lessons learned. Some of the challenges include providing training to a group that spans a large geographical area, having a wide variety of stakeholders who require different levels of knowledge about the program (operations, project management, document control, contractors, management), and ensuring training is effective and leads to a smooth adoption of the changes that come with the new standards. Some of the topics we’ll cover include using the ADKAR model of change management to evaluate how effective your training will be; awareness of the need to change; desire to support and participate in the change; knowledge of how to change; ability to implement required skills and behaviours; reinforcement to sustain the change; tailoring presentations to specific groups; creating short and long versions of modules—building blocks for presentations; tailoring presentations to each group based on required knowledge; having a one-hour “crash course” presentation to give a quick overview to certain groups (upper management, those not directly impacted by standards); giving several opportunities for questions to ensure any potential issues are identified early (standard review, training, pre-publishing); and some tips on encouraging engagement: examples and exercises (real world), visual aids (flowcharts, photos, graphics over text), handouts (quick reference guide, poster, contact sheet, acronym list), and summaries (standard review sheets, single-page overviews).

There is much literature on work sampling studies—from useful to not useful. Useful if the studies are done properly, and dangerous if not properly done, which happens more often than not. This presentation will dispel the myths about wrench time by addressing some old-fashioned concepts and strategies that work, just like the kind you would find in classic Western movies, where the heroes have a clear vision, develop strategies and plans, take action, and don’t let obstacles get in the way. The Good, The Bad, and The Ugly was set during the American Civil War, where three men were determined to find $200,000 in Confederate gold coins that was ambushed by Yankees and buried in a remote southwest cemetery. But where is the value of finding gold in performing work sampling studies? That’s why you need to round up the horses, get the campfire lit, and settle in for an entertaining hands-on, informative presentation to learn about the good, and bad, and the ugly of work sampling studies to measure wrench time. Dennis Heinzlmeir has led 12 work sampling studies across Canada at various industrial facilities. He will reveal the results to support that when studies are completed in the right manner, they offer valuable benchmarks to organizations that lead them to drive down maintenance costs and increase uptime through continuous improvements. Ineffectiveness and inefficiencies can creep into a company’s work management process; having this health check can save millions of dollars. Just like a Western’s happy ending, this presentation will address the many misconceptions, misunderstandings, and myths about wrench time. Measuring wrench time is a very effective means of improving productivity if it’s done with a focus on removing obstacles and frustrations that prevent maintenance work from being completed efficiently and effectively.

This article is to address the difference in conditional probability of failure patterns, and the impact on how best to maintain assets based upon those differences.

This Project was established to review all facets of Maintenance within the St Lawrence Seaway Management Corporation (SLSMC) with a goal to improve productivity, maintaining a positive impact on maintenance staff moral and provide the same or increased equipment reliability. Maintenance Programs were reviewed for all major assets and analyzed using subject matter experts leveraging the FMECA (Failure Mode, Effects & Criticality Analysis) tool to determine areas of vulnerability within the assets ability to perform at the designed operational level Maintenance Processes were analyzed using some of the Lean Six Sigma and Work Measurement tools with focus on the six (6) steps of Work Management Cycle (Identify, Plan, Schedule, Assign, Execute and Learn) to get a better understanding of the problem areas and generate solutions to this issue backed by actual results. Work Organization main focus was to improve Supervisory awareness and availability in providing support to trades employees and conducting regular field audits to ensure accuracy and quality of task execution. Investigations and work process flow analysis are also planned for individual Trade Shops and Warehouse Facility Layouts to improve work space planning and component/part inventories. Change Management focus was on Vision Mapping, Stakeholder Analysis, Communication Planning and transition coordination of all improvements and changes that will affect the entire organization during the progression of each stage of the project. The findings of the project to date showed that there were a lot of excess maintenance tasks being performed on managed assets. The estimated labour times for task completion, travel and delay inefficiencies of work tasks being performed were excessive and daily performed tasks contained value and non-value activities over all process steps of the Work Management Cycle. All findings discovered and work that continuous to be performed at each stage of this project confirms that there is a lot of variability, inefficiencies and opportunities for improvements within all facets of the Maintenance within the Organization.

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.

One major challenge at the operate and maintain phase of an asset is achieving and sustaining the forecasted availability and reliability as intended at the project delivery phase. Many problems arise—equipment failures, underperformance, high costs—that are caused by numerous issues. The resolution demands thorough understanding of the causes of the issues, which we usually attempt to achieve through RCA methodologies. I've experienced many repeated failures even when RCAs have been conducted, due, mainly, to most of the RCAs focusing attention on solutions to the problem outcomes with limited focus on the human and system causes that drive the outcomes. The Causal Learning Approach brings in the understanding of these other causes that ensure effective and sustainable solutions development. There are three levels of causes: the physical outcomes; the human causes; and the system causes. The Causal Learning Approach also focuses on causal reasoning instead of defensive and solution reasoning. This presentation will provide the understanding of these causes and the three key elements of this approach: discovery, learning, and solution generation.

The U.K. railway network dates back to 1825 and is the oldest railway in the world. Several electrical assets on the network such as track power cables, switchgears, overhead line isolators, circuit breakers, and insulators are beyond their design life and the business must decide whether to renew or replace them—even though they're still operating at the optimum performance level. These assets are still being maintained at the original regimes; the challenge to the business is to understand the degradation models and change them to achieve different maintenance regimes for the aging assets. The work we're currently undertaking is intended to influence and change our asset policies—in particular, the assignment of asset regimes for assets that remain in service at the end of their design life and beyond. The philosophy behind the maintenance regimes is that they're based on degradation models, which are algorithms that consider various factors such as the environment, the loading, the utilization, the reliability, and the cost for interventions. The approach we pursued was to review the parameters of the degradation models for their “fit,” based on the knowledge asset managers have gained on the ground and through large volumes of asset data. The asset data was analyzed with data visualization software to gain further insight to influence the review of the degradation models. The findings of the work are summarized here: asset population is aging and future renewals bow wave are predicted; asset policy pushes all assets to maximum asset technical life and fix-on or run-to failure; safety-related works prioritized over asset performance/resilience; there's a need to modify some factors associated with the degradation models to cater for extension of technical asset life and maintain a more realistic/sustainable asset renewal profile; composite asset condition scores are required to manage bow wave of asset renewals and implement sustainable obsolescence management techniques (this is predominantly driven by organizational investment decisions where enhancements are the main driver of asset acquisition, making future renewals difficult due to the requirement to renew similar age assets at the same time); and determination of useful asset life required for assets that are being left in service longer than their originally predicted life.