03 Asset Strategy Management

Early in 2018, the City of Edmonton adopted an Infrastructure Asset Management Policy to provide clear direction for how the organization should carry out asset management activities to achieve its vision, goal, and objectives. Infrastructure maintenance at the Parks and Roads Services Branch is accountable for all the actions necessary. In order to comply with the recently adopted policy, the branch developed an asset maintenance framework that would allow the section to not only align its practices to the adopted policy but also enable it to manage resource allocation; define clear accountability for financial results as well as for level of services delivered to citizens; and set the foundation for a management system that will allow performance-based reporting on how the execution of the different types of maintenance activities defined in each asset maintenance plan are supporting the expected asset condition levels targeted by the administration. 

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.  

Quelle est l’opportunité pour les gens de maintenance dans l’Industrie 4.0 ?- Constat de la maturité de la maintenance au Québec- Rappel de vieux concepts d’ingénierie de maintenance- Survol des concepts de l’Internet des objets et de l’Industrie 4.0- Analyse de l’opportunité 4.0

The structural configuration of an organizational design is the way work is divided and how it achieves co-ordination among its various work activities around the assets’ lifecycles. An organizational design structure resolves two basic tasks to get work done: dividing up the work into logical units, which enables performance management, and ensuring the work gets done by providing the co-ordination and control of work. In this webcast we’ll look at four models and discuss their advantages and disadvantages and present suitable information on typical roles and responsibilities that will be reflective of the selected model. The goal of asset management (AM) is to ensure that an organization’s staff is always working on the right activities at the right time, for the right reason, and for right cost. The AM governance model is intended to ensure there is effective collaboration and co-ordination to make this happen around all business processes. With the right AM governance model, overall AM program development can be expedited and new ways of working can be quickly integrated into the organization’s AM culture. We’ll provide the actual results from a number of case studies to demonstrate the value of designing and implementing the most appropriate AM governance model for your organization.

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.

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 decisionmaking 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.

In 2017, the LINK Automated People Mover (APM) at Toronto Pearson International Airport transported an average of 24,000 passengers per day — a 20% increase in passenger traffic from 2015, according to a 2017 report by the GTAA. To increase operational service levels, preventative maintenance optimization (PMO) initiatives were undertaken in 2015 and 2016 in co-ordination with the APM owner, manufacturer, and O&M service provider. The initiatives were designed to increase the overall day-to-day operational run-time of the LINK system while maintaining existing levels of safety and reliability. In this workshop, we’ll use the LINK APM system as a case study to discuss the requirements for successful PMO implementation, which include interorganizational communication and co-operation, RCM strategies, and due diligence as it relates to safety-related subsystems and processes. We’ll also offer a blueprint for similar optimization strategies.

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.

With all the talk about big data and the IIoT, many are asking how can we use this in maintenance? The IIoT enables us to put sensors in any location where we might want to collect and analyze equipment condition and performance data. There are companies that offer predictive maintenance services, and some companies do this for themselves, in-house. Typically, it’s the larger companies that can afford this, but democratization has meant this has become available to a much broader market. But there are hurdles to taking advantage of this sort of continuous monitoring program, even for your most critical equipment. One, it’s expensive, whether you do it in-house or outsource. And two, there are data bottlenecks. Condition monitoring data comes is huge volumes and it’s all time-sensitive. Even if you can afford it, you need a data handling network with a lot of capacity. In this workshop, we’ll present a viable technical solution to the data bottleneck problem — based on a solution already proven in financial securities markets — that opens up these possibilities in the realm of plant continuous condition monitoring.