10.3 Maintenance Management Improvements

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.

Any plant, in order to maximize its production, must have a world-class maintenance team that takes care of every single piece of equipment in the field. Maintenance teams could be considered the superheroes of any plant, since they must always maintain and return the equipment in the fastest and most efficient way. Wrench time is the actual time a maintenance crew works on a piece of equipment, and wrench time analysis is used to measure the maintenance team's effectiveness. Many companies apply wrench time for a very limited time and do not go for a continuous way of study. This presentation will show a self-reporting wrench time case study that was implemented in a Saudi Arabian petrochemical plant. We'll aim to explore the effect of self-reporting wrench time and answer the following three questions: Does wrench time analysis increase maintenance efficiency? Does self-reporting wrench time lead to better maintenance efficiency? What is the impact of self-reporting wrench time on maintenance team performance?

Metrics, best practices, more than 40 key elements to implement, challenges, and opportunities all combine to make a successful implementation difficult. Where do you start, and how do you know how to work on what matters? Once you understand how it’s all related, you can focus on the vital few to leverage the maximum ROI. This presentation will clarify the importance of culture and employee engagement, along with other key plant floor performance indicators that will be clarified with data. We'll look at the current state of R&M; what’s working and what's not; survival skills for the next decade; impacts of connected technologies (edge computing, big data, machine learning, AI, 3D printing, augmented reality); the importance of getting your data ready for what's coming next; and relationships between R&M and safety, people engagement, quality, throughput/uptime, and cost.

This case study will show how we used an analysis of standard work management metrics and a systematic approach to identify opportunities to improve our plant. We'll provide specific examples of how we developed and implemented the approach and the results we achieved. We'll also describe the fundamental understanding and steps that could be taken to implement a similar approach at any plant, or for any particular metric. Topics will include cultural recognition of KPIs as an improvement tool, not a personnel measurement stick; understanding all the various causes and influences on any particular metric; analysis and categorization of deviations; identifying losses as acute one-offs vs. chronic systemic issues; behavioural vs. procedural issues; understanding change/improvement requirements, what can be directly controlled and what can be only influenced; determining corrective actions; and tracking the resulting improvements. Specific examples will be derived from our site's application of this methodology to schedule compliance, PM/PdM compliance, and emergency work metrics.  

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.

KPIs are often used to measure the past performance of a process, but did you know that they can be used to see into the future and predict the performance of the organization?KPIs can be used to measure past performance, or predict future performance. This is because there is a cause and effect relationship between leading and lagging KPIs. When a process is measured, it will in turn effect another process which is also being measured, providing insight to future performance.When Leading and Lagging KPIs are properly understood it provides unique insights to where the performance of the organization is going.

While a host of factors influence profitability, maximizing your plant’s production output potential is arguably one of the facility’s greatest opportunities. An Asset Management, Reliability and Maintenance Strategic Plan can guide continuous improvement that’s aligned with bottom-line performance expectations for managing assets and people. This presentation will provide a framework approach for establishing your strategic asset management & reliability plan and the associated business case. Delegates will gain a fundamental understanding of how to establish a baseline: "know where you are," define where you’re going, who needs to be involved, how to measure the program’s progress and results, and what elements are essential for success.

Jeffboat is a company with a long history.  Originally named the Howard Steamboat Company, Jeffboat is America’s largest inland ship builder and has been manufacturing ships for over 100 years.  Jeffboat has built such famous ships as the Mississippi Queen, the General Jackson showboat and the Casino Aztar riverboat casino. Like most manufacturing firms, Jeffboat has an enormous amount of equipment stretched out over a shipyard that is over a mile in length that is needed to make its boats.  Also like many old-line manufacturing firms, Jeffboat has both equipment and employees who have been there for several decades. Overall, because of the size of the shipyard and age of the equipment, Jeffboat’s maintenance was used to working in reactive mode.  There was no CMMS software in place and equipment was put into numerous Excel spreadsheets.  In addition, it was often hit or miss whether the right parts were in the stores room and finding the right equipment often took maintenance technicians a significant amount of time.  There was no Scheduler/Planner and maintenance procedures were done informally and based on need at that particular moment.When implementing a maintenance management strategy, a critical component is the resistance to change. Whether it is the introduction of new software or a complete overhaul of the maintenance function, the process of change represents disruptive technology (Christenson, …). According to Christenson, most changes are really improvements on something old and the old paradigms can be used. However, there are changes that organizations need to make that disrupt the dominant paradigm, rather than sustaining it. These are disruptive technologies and make the old things less important or obsolete. The problem with these disruptive changes is that people are still applying the old paradigms to the new realities. They are trying, in a sense, to understand the car as nothing more than a carriage without horses.

Due largely to the release of ISO55000x:2014 family of standards, Asset Management is gaining worldwide acceptance as a valid business practice for asset-intensive organizations. The challenge that organizations now face is how to operationalize the principles and move it from “being understood in theory” to being “the way that we work”, to truly distill effective asset management practices and principles to the nooks and crannies of the organization. One key tenet of ISO55000x is the management of asset risk at all levels of asset interaction. On the other side, one area that has been struggling to understand asset management beyond maintenance management is the traditional Maintenance Department. This paper will capture the steps that Veolia North America is taking one of its Municipal Clients through to understand risk at the more granular levels and build risk resilience into its maintenance strategy.Yet for the average Maintenance Manager, the challenge of interpreting asset risk for the organization is still uncharted waters. There are several ways in which the traditional Maintenance Manager can understand the wide breadth of risks facing the asset, determine appropriate responses and communicate them to the appropriate stakeholders. In fact, one or more of these may already be in place in the organization but may not be seen as building risk resilience. This presentation will explore one methodology used by Veolia to develop an asset-centric, risk-based Maintenance Strategy at the City of Winnipeg’s, Waste Water Treatment Plants using a Maintenance Management Maturity Assessment.The City of Winnipeg’s Waste Water Department is at a very interesting juncture in its history, in that there are several major capital upgrades being undertaken, whilst the plants continue to run. The goal of the Maintenance Strategy is therefore two-fold. To maintain the existing levels of service at least whole life cost with risk balanced against the cost of meeting objectives, whilst ensuring that there is a plan to maximise maintenance for the future asset base to realise the benefit of the investment over the whole life of the assets. As a result, in 2016, in collaboration with its selected O&M improvement partner, Veolia North America, the City of Winnipeg’s Waste Water Treatment Plants, went on a path of discovery. Two significant tools of investigation were employed: 1. An Asset Management Maturity Assessment was conducted and 2. The City participated in the National Waste Water Benchmarking Initiative (NWWBI) Maintenance Task Force Survey implemented by AECOM. The Asset Management Maturity Assessment examined 8 fundamental areas of Maintenance Management and outlined positions of excellence that the City hoped to achieve both at the 1-year and 3-year mark from the date of assessment with 2017 being Year 1. The NWWBI Maintenance Task Force Survey examined 42 granular yet, over-lapping areas of Maintenance Management, with 18 of them reporting significant gaps for the City’s Waste Water Treatment Plants. The results of the two analyses were combined into eight (8) key Objectives and the underlying activities required to achieving them over the next three (3) years. These eight (8) Objectives are: 1. Implementation of Asset Condition Assessment Plan (ACAP) 2. Inventory Management Optimization Plan (IMOP) 3. Work Organization Improvement Plan (WOIP) 4. Implementation of Maintenance Quality Strategy (MQS) 5. Financial Capability Improvement Plan (FCIP) 6. Asset Registry Improvement Plan (ARIP) 7. Implementation of Document Management (DM) 8. Revision and Implementation of Asset Criticality Model (ACM)This presentation will examine the detailed plans for each objective, the inter-connectivity and alignment of the Objectives, the Road Map for the next 3 years, the processes for monitoring and continual improvement and the benefits of implementing this approach. Presented at MainTrain 2017 

Application of Lean Six Sigma methodology in the optimization of maintenance execution by using data and facts.    As always, equipment maintainability plays an important role in uptime. Besides the reduction of failure rates, the quick recovery from those failures or the successful execution of scheduled activities makes a considerable difference in availability indicators. The application of Lean tools and Six Sigma analysis contributes to the improvement of maintenance execution by applying the 5 steps of Lean Six Sigma methodology (Define, Measure, Analyze, Implement and Control) and using the tools associated with them. This presentation will discuss Lean Six Sigma theory, basic principles of the methodology and case studies showing the use of tools. Case 1 will illustrate the application of Lean Six Sigma in scheduled preventive maintenance for slurry pumps operating in the oil sands industry. Case 2 will examine how the use of Six Sigma analysis reduced the corrosion rate of tubes in a bank of 12 heat exchangers shell and tube type, which heat diluted bitumen upstream of a distillation tower. Both cases emphasize the importance of using data and facts to make decisions, including front end personnel, and the sustainment of implemented solutions. Presented at MainTrain 2017