MainTrain 2017 Content Preview
Preventive Maintenance (PM) Optimization is often thought of as an activity to improve the effectiveness of the maintenance strategy, looking at the activities in the PM routine and matching them with known failure modes. While this is the first step to improving any maintenance strategy, it is just a beginning. In order for an organization to achieve its highest performance, they not only need to do the right maintenance, but they also need to do it efficiently.This is where PM Optimization can unlock the hidden potential. When PM Optimization is combined with known and accepted Lean techniques, the efficiency of maintenance is truly unlocked. When performing PM Optimization, the team should be aware of the 8 types of waste: (1) Defects, (2) Overproduction, (3) Waiting, (4) Not utilizing talent, (5) Transportation, (6) Inventory excess, (7) Motion waste, and (8) Excess processing. Once the team is aware of the waste, there needs to be an unrelenting focus on eliminating the waste and minimizing planned downtime. To eliminate the waste, the team uses various Lean tools, such as SMED, 5s, and Visual Factory. When the 8 types of waste are targeted, the amount of planned downtime goes down, allowing higher levels of asset utilization. Presented at MainTrain 2017
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.Presented at MainTrain 2017
In his book ‘Good to Great’ Jim Collins tells us that the secret to success is to have the right people in the right seats on the right bus. How many of our organizations actually achieve that? What are some of the reasons we don’t succeed? During this presentation we will see that perhaps the biggest reason we don’t succeed is simply we don’t really know what the ‘right people’ look like. We will look at how we normally determine if the people are right based on what we expect them to do as it compares to their skill sets. For example – why is it that so many College Quarter Backs or Junior A hockey players fail to make the big time and play in the NFL or NHL? Getting closer to home we will look at why many people who are put in the role of maintenance and reliability leaders continue to struggle even though they seem well suited for the job and turn out to be the wrong people in the right seats. As we look at the reasons that this happens we will look at what it is exactly that these leaders need to do, know and understand in order to succeed. We can assure you that what you’ll learn from this presentation will change how you approach filling the vacancies within your organization! We promise you that you will listen, learn and laugh!Presented at MainTrain 2017
Often people who are good at their jobs at the operations level are promoted to supervisory positions without much thought about how to equip them for success in the new role. The mentality of “sink or swim” has been proven contrary to how people actually learn on the job. So what can you do to up skill your supervisors? What can you do to assist supervisors with transitioning from hourly, operational thinking to salaried leadership thinking? The key lies in knowing how to develop leadership using on-the-job coaching, training and mentorship. When approached strategically and thoughtfully, organizations can effectively equip supervisors to see themselves as part of the management team, develop the skills and confidence to take charge and lead their teams effectively. Presented at MainTrain 2017
Most organisations have implemented processes and tools to collect data to facilitate informed decision-making. Often, they will seek out best practices and measures to assist in decision-making or rely on technology to guide the basis of decisions. However, in many cases these same organisations approach a gap in tactical deployment and the ability to draw a connection to the follow-up or pre-emptive actions required to derive value from assets. This presentation will review the processes for establishing a framework for alignment and priority setting, while looking at the techniques employed for resiliency and risk management using a technology agnostic approach. We will review potential data sources which can be leveraged for decision-making and which reflect the needs and current state of the business environment. Further, we will discuss the relationship and application to the decision-making process. An overview of the fundamental outcome of key performance indicators and visualized metrics will be demonstrated. Finally, we will investigate the influence on decision making and the level of data confidence. Presented at MainTrain 2017
Effective maintenance plays a crucial role in today’s business. In order to manage costs, organizations attempt to get the most from their people and assets. Effective alignment between departments can dramatically improve asset reliability, reduce operation and maintenance costs and improve the effectiveness of the workforce.This presentation is intended to provide participants with the information and awareness they need to manage assets effectively. The need of cooperation between the operations and maintenance departments, as well as other departments such as supply chain will be discussed. Employees require more than high level principles; they must understand their role and how effective cooperation at all levels will provide value to the on-going operations, thereby allowing the business to remain profitable. Further, the presentation will examine the concept of Operational Excellence as the beginning of a transformation to a planned culture throughout the entire organization. Key to this topic is confirming who is in charge. Is the asset dictating how things should be done or are the people running it in charge?Asset management professionals often find themselves challenged by competing priorities in an effort to keep the system running. This session follows how maintenance tasks are initiated with work prioritization being a key element. Various roles will be discussed as well as the importance of scheduling and getting everyone on board with the schedule. Potential subtopics tailored to time restrictions: (1) Why do planned maintenance? (2) Cost of a break-in event, (3) Risk-based work selection, (4) Screening and approval of work, (5) Operators role in maintenance, (6) Operations, maintenance and supply chain departments’ role in scheduling, (7) Operations and maintenance coordination and roles, and (8) Managing the daily work list. Presented at MainTrain 2017
This presentation covers the journey at ENMAX Generation of establishing foundations for Asset Management Plans and Lifecycle Asset Management Practices incorporating into the Capital Planning Portfolio Optimization and Budgeting Process. One of the challenges that we are facing today is in bridging the results from many technology sources occurring at different time continuum into actionable information that can be consistently used across the fleet. This initiative is driving our engineers and consultants to devise a Health Index (HI) for critical assets that can be consistently used across the fleet for similar assets for the prioritization of capital projects.Annual spending on new projects, major maintenance, and sustaining capital require careful consideration, which has led to an increased scrutiny at ENMAX Generation. A data driven and financial model-based decision-making process for Capital Planning and Portfolio Optimization can be significantly improved using asset analytics to provide meaningful insights.The implementation of this involved review of existing business process including current and future state mapping, gap analyses, alignment with Project Management Office (PMO) Stage Gate Process and with Authorization for Expenditure (AFE). It also included a redesign of value measures and modeling to appropriately value projects/investment opportunities. We developed preliminary Health Index based on asset condition, operating age, probability of failure curves, replacement costs/parameters, and consequence of failure and risk levels. This journey has utilized practices by ISO 55000 for data-driven decision making and Value Measures and Value Frameworks in the Capital Planning and Budgeting Process. The results are probabilistic “optimal” replacement dates. We use Reliability Centered Maintenance methodology to manage our plant physical assets. One of the challenges faced today is in integrating technology sources, which is driving our engineers and consultants to devise a Health Index (HI) for critical assets, starting with the high-value assets.In conclusion, a key element of effective data and model-based decision making in Capital Investment and Management Planning relies heavily on predictive asset analytics. For asset analytics to effectively work, we require a lot of meaningful data to populate newly enhanced Capital Budgeting Software (C55). These are used today in C55 to compute the optimal replacement dates.Presented at MainTrain 2017
As I spend more and more time in and around maintenance, reliability and asset management professionals, and though my own experiences as both an end user and now a contractor, it has become more and more clear that there is a definitive gap in most maintenance and reliability plans....the electrical system. This is not to say that there is not maintenance being done, or that people are not recognizing that their electrical system is critical. But do you understand what you are doing? Do you understand why? Is what is being done correct? Is the budget that is set aside for electrical adequate or too much? How do you know? What are the best practices and where do you start? As discussed this is not a technical presentation but rather a look at a basic electrical system and where an end user can start in regards to assuring themselves that they are doing the right things. There are some new technologies that are in the market place that can assist in determining if there is a potential problem with parts of your system...this presentation is not about those. Alternatively it is about "the basics", learning to walk before you can run: Looking at the system as a whole and learning where most trouble areas are; Assisting end-users in looking at past test results and planning next steps; Determining what needs to be done based on predictive tests such as transformer oil samples or IR scans, and what can be pushed into next year’s budget; What cannot be skipped because, if it is, it may not only cause catastrophic plant failures but potential fatalities. In conclusion what this presentation will focus on is assisting Maintenance Management professionals to treat their electrical assets with the same care that they keep their mechanical assets. It is not overly technical and you do not have to be an electrical professional to understand or benefit.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
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
In this case study, presented at MainTrain 2017, highlights of an RCM analysis are reviewed including the unexpected outcome. The paper presents a powerful equation derived to calculate the number of inspections required to be performed within the interval between potential and functional failure. Sensitivity analyses are also performed to demonstrate how changes in certain data points affect the results of the analysis. The case study also demonstrates how the recommendation of the analysis was counter-intuitive to conventional thinking given a unique situation and highlights the importance of operational context. Developing an optimal maintenance strategy often requires a systematic approach that includes a Reliability-Centered Maintenance (RCM) analysis. To be successful, these analyses require involvement from many stakeholders and performing a number of pro-active actions to detect or prevent functional failure. Such actions can be unpopular at times and require a solid partnership between the reliability engineering function and Operations and Maintenance.In this case study, highlights of an RCM analysis are reviewed including the unexpected outcome. When there are no safety or environmental consequences, the decision of whether to do an inspection is based on a cost-benefit analysis. This presentation discusses a case study recently performed during a reliability-centered maintenance (RCM) analysis at Cameco’s Port Hope Conversion Facility. The RCM analysis evaluated the cost effectiveness of partially removing a calciner shell to perform a non-destructive examination (NDE) of the bottom of the shell. The RCM uses a specific equation derived to calculate the number of inspections required to be performed within the interval between potential and functional failure. The equation is generic and can be used for any situation.One purpose of this presentation is to demonstrate the identification of the interval between potential and functional failure and how the equation is used so the audience can replicate the analysis in their own situation. Sensitivity analyses are also performed to demonstrate how changes in certain data points affect the results of the analysis. The second purpose of this presentation is to demonstrate how the recommendation of the analysis was counter-intuitive to conventional thinking given a unique situation and highlights the importance of operational context.
In this presentation that was given as a keynote at MainTrain 2017, John Hardwick explains how the data captured while we are managing maintenance can be leveraged by the business to make critical high-level asset management decisions. The presentation makes very clear the distinction between "managing assets" and "asset management" and illustrates the interrelationships between them.
This webcast will highlight Potash’s extensive implementation of mobile devices to support its business processes. Aligned Mobile Applications are now in use or being implemented at Potash’s Allan, Augusta, Aurora, Geismar, Lanigan, Lima, Rocanville & Trinidad sites. Potash has partnered with Viziya to develop a single integrated mobile app to meet its maintenance and supply chain business requirements, and Postash continues to deploy ‘out of the box’ apps from its Enterprise Resource Planning (ERP) system. Vendor mobile devices are now a commodity which provide a cost effective way to drive efficiencies. Importantly, apps are available across various platforms; hardware choices do not drive decision making when it comes to selecting the best tools for our business. If you are thinking about implementing a shift to mobile devices on the front lines, this will be a great opportunity to learn from the Potash experience. Reviewer's comments; Excellent presentation outlining how Potash Corporation of Saskatchewan has deployed a combination of technologies, enabled on mobile devices (tablets / laptops) integrated fully with their EAM and KPI monitoring systems. Author provides an overview of the situation "before" deployment, through the deployment (which took place over several years) to the "after" or current state. If you want to know what can be done and has been done, this is pretty leading edge stuff and well worth the time to listen.