5.0 Maintenance and Reliability Eng General

Many maintenance & 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 integrates with our current troubleshooting efforts and drives bottom line business improvement. We can make our workplaces safer by reducing the number of unexpected failures while improving our business performance through increasing our facility’s throughput and reducing the money spent on repairs – straight to the bottom line.This presentation will cover the steps to implementing a data-driven Root Cause Analysis (RCA) program and building the business case for change, suggest an approach to implementing root cause analysis thinking, establishing a work culture that is focused on failure prevention, quantifying the cost savings, integrating RCA with existing maintenance program approaches, and realizing the business value.

The world your business operates in is constantly changing. Supply chain disruptions, market pressures, budget constraints, regulatory changes, extreme weather, new technology, challenges retaining experienced engineers and maintenance technicians, and more can impact the operating context of your assets and equipment.Minimizing risk, and maintaining high performing assets in the face of constant change often requires organizations to accelerate the rate at which risk and criticality are re-assessed, maintenance strategies updated, people and systems enabled, and new maintenance plans put into practice; connecting the dots in a closed loop process.In this webinar, we will share practical approaches to help you connect the dots between strategy and execution, and ensure the investments you make in your reliability based maintenance program are put into action and deliver the intended results as the broader organization and asset management context continues to change.

Artificial Intelligence (AI) technology is developing rapidly and is appearing more and more often in asset intensive organizations. It is both a Threat and Opportunity. To some it is a tool for making better or faster decisions; and on systems where the output is king that could be a driving factor. For others, it is another layer of fog hiding decision making processes. Evolution of this technology is moving much faster than regulation, and in an unregulated space within a capitalist economy, where AI can provide a commercial advantage it will be used and advanced. How is AI being used in asset intensive organizations today, what could tomorrow look like? What skills and knowledge should Asset Management Professionals be investing in to work in a world with fast evolving AI systems?

PEMAC, FMC, Toronto Metropolitan University, and municipal experts across Canada have partnered on a project entitled “Leveraging Municipal Asset Master Data and Information for Maintenance and Reliability Readiness.” In this project, a survey of Canadian municipalities has been conducted to determine how asset data and information are collected, when, and how it is set up in various systems across the asset’s lifecycle stages. This presentation will highlight the survey results and make recommendations for potential improvements specifically related to setting up maintenance and reliability for success. Many municipalities have been struggling with such improvement areas for years to set up processes, procedures, and systems. The survey results will help attendees understand the current Canadian landscape and allow making recommendations to improve how and when municipalities best manage their various processes and systems towards improving asset and maintenance management across municipalities. The survey results will help develop and deliver a training course for municipal practitioners in the summer and fall of 2023. The information gathered will also aid in developing a white paper and business case that will increase the profile, understanding, benefits, and requirements for asset master data and information readiness during an asset’s acquisition phase prior to being handed over to the operations and maintenance phase.

Reliability and maintenance teams in all manufacturing plants have a common goal; that is, to plan and execute initiatives that will help sustain the inherent reliability of the physical assets and increase the availability of the plant. Productivity and profitability of the manufacturing plant and overall organization are highly dependent on the reliability and availability of the plant. A thorough understanding of the importance of reliability has made the top management of major corporations invest in reliability and physical asset management. When the top management invests in reliability, they typically set the corporate strategy and directions for reliability through a road map for all the manufacturing plants that operate under the corporation. When the commitment or support from the top management is available for reliability initiatives, the onus is now on the individual manufacturing plant to develop a reliability plan that aligns with the corporate strategy and/or reliability road map and the current needs of the plant. The reliability and maintenance teams typically build all the strategic, tactical, and operational reliability plans that have initiatives that would make the biggest impact on continuous improvement in reliability and bring the desired benefits for the site. This presentation will explain the systems thinking approach, along with the seven golden rules and seven key factors, that will help reliability and maintenance teams to build an effective reliability plan. In addition, this presentation will also address the top three challenges in building a reliability plan and how to overcome those challenges through two case studies. The first case study is about developing a three-year reliability plan, and the second case study is about developing an annual reliability plan. Both the case studies will explain the application of the systems thinking approach, seven golden rules, seven key factors, and top three challenges that were dealt with and solved.

Presentation highlights the importance and interdependency of three pillars of success (people, processes, and technology) and Cameco’s asset management improvement efforts through each of these, including lessons learned. Audience will learn about the importance of organizational change management, business process management and agile methodologies, some of the technologies supporting asset maintenance and reliability, and its new Asset Management & Reliability Center of Excellence.

3D printing has important advantages over traditional manufacturing processes. However, as it is a relatively new class of manufacturing technologies, problems of reliability and parameter optimization remain largely unresolved. Our work focuses on addressing some of these issues through in-situ monitoring and closed-loop control, using machine learning as a tool for the endeavour. The idea is to analyze the condition of the process by predicting key characteristics of the final product, and then to use this analysis for adjusting process parameters on the fly. We imagine that this framework of predictive analysis leading to closed-loop control can be extended to a variety of applications outside of 3D printing. In a more general maintenance scenario, sensor readings can be used to assess the condition of equipment and to predict the condition at a future time. This information can then be used to determine appropriate maintenance activities, such as triggering preventive maintenance, scaling back on the intensity of use, and ordering replacement parts, as well as the timing of these events. For our case study in 3D printing, we have implemented in-situ monitoring hardware for a fused deposition modelling (FDM) printer and have constructed a dataset for modelling the process. The dataset consists of in-situ observations (photographs) and select mechanical property measurements for 359 fabricated parts. With this data, we demonstrate the ability of machine learning methods to capture the complex dynamics of a 3D printing process. Specifically, we train a neural network-based model which is able to predict mechanical properties of the final product based on in-situ photographs as well as parameter information. Predictions made by these models can then be used to assess the quality of products as they are being fabricated, thereby making it possible to correct errors or to improve the expected outcome through online parameter adjustments.

The Irving Pulp & Paper maintenance team was the recipient of the PEMAC Maintenance Team of the Year Award for 2021. The team was honored to be nominated based upon long term sustained performance improvements, professional development, controlling reactive maintenance and continuous improvement.

This presentation is a holistic approach to precision machinery installation. We all know very well that the installation has direct impact on the performance and the operating life of the rotating equipment. In my presentation first I speak about the importance of standardization of the installation procedures based on existing standards such as API, ISO, NORSOK, ASME and ANSI. Second I speak about the importance of trainings in Installation procedures and the culture of teaching and sharing the knowledge among the team members including the suppliers. And finally the importance of documentation. The collection and transfer of data during the installation phase, though Commissioning and Site testing and then handing over the equipment to the Operations. I also provide a suggestion how to improve and optimize the installation work.

We know that reliability has value to your business, but many of us with technical backgrounds struggle to present a good business case to decision-makers. We are very often held back by budget constraints and we are not in a position to make decisions involving financial risk-taking. Most of us don't have a business background, nor do we speak "finance". It is a whole different language than maintenance and reliability, yet we all want the same things for our business. This presentation will give you some ideas on what you will need to determine in order to show what reliability is worth, and how to present that to decision-makers.