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cmms and eam

Maintenance Work Execution Management

Maintenance Work Execution Management

A Maintenance Work Execution Project Management Guide

What to Expect When Moving to the Cloud

What to Expect When Moving to the Cloud

MaximoWorld 2018 Cloud Summit - 41:28

by Steve Richmond, Projetech

This session will show the benefits of employing a cloud solution for Enterprise Asset Management. Some of the key concepts covered include the pros and cons of a cloud environment, as well as, different deployment possibilities. Cloud computing can provide flexibility, agile “concept to go-live” implementation, and lower capital outlay. There are also the not-so-obvious benefits, such as economies of scale and the professional authority of the software provider. Cloud computing does not come without risk, so discussion will also explore the factors to consider with respect to a cloud EAM solution.

Improve Equipment Uptime with Problem-Failure-Action Codes!

EAM/CMMS software gives you dozens of ways to improve asset reliability. Developing a PM program is one of the more common. But a method that has a big potential to increase uptime—and the ...

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MindSphere IoT Platform

MindSphere IoT Platform

The RELIABILITY Conference Learning Session - 33:50
by Simon Davidoff, Siemens

The new Siemens Cloud for Industry – MindSphere opens up an ecosystem for OEMs, end customers, partners and Siemens. The ecosystem already offers a wide range of applications to increase plant efficiency and productivity, energy management applications, and maintenance and operation applications. MindSphere offers standard cloud connectivity for many Siemens devices such as drives, PLCs, etc. and open, available interfaces (APIs) to application developers. The built-in secure device-cloud communication offers maximum customer data protection. Safety and industrial security services are available for MindSphere applications, as well as for standard Siemens industrial products.

There are a number of compelling use cases that are helping manufacturers reach new levels of productivity and cost savings. Few companies, however, are tapping the real value of the data these systems are already measuring. With Data Analytics services, new transparency into the health of machines and systems is revealed in real-time. Machine failures can be predicted before they occur, and process deviations can be identified and corrected sooner to prevent quality or efficiency drop-off. The result: maintenance planning and service management both improve, and costs are reduced.

A discussion of the above and also how to identify, define and elaborate a use case in the field of reliability and maintenance through a series of logical steps is included.

Construction to Maintenance- A Case Study in Transition of Facilities Management Data

Construction to Maintenance- A Case Study in Transition of Facilities Management Data

IMC-2016 Learning Session - 41:16 
by Dennis Ford, Texas Children's Hospital; Evan Kontos, Drawbase Software; David Connors, Drawbase Software

This session is design to review the process and requirements a healthcare facility owner employed to migrate a newly constructed patient facility thru the entire lifecycle building and management process. The owner of a new 1 million square foot hospital leveraged key program planning process management techniques to ensure that the graphic floorplans, equipment and building infrastructure data captured during the facility design and construction phase from various design and engineering consultants ensured that this new healthcare facility would be Joint Commission Environment of Care (EOC) survey ready on day one. This included data needed to ensure a smooth transition from construction to operations and maintenance. The data was defined during design, standardized during construction, and used during commissioning. This formed the basis of a building information management (BIM) system. This includes integrations with CAFM and EAM solutions including Maximo to ensure a complete integrated management solution to support on-going facility planning and maintenance management requirements.

How to Align Your Location and Asset Data to Provide Efficiencies

How to Align Your Location and Asset Data to Provide Efficiencies

IMC-2016 Focused Forum - 40:55 
by Courtney Blalock, EDI and John Acton, Palm Beach County Water Utilities Department

We all have and use Enterprise Asset Management systems. They are an essential tool in how we maintain our Assets, schedule and plan work for those assets and track our effectiveness and efficiencies in the work place. Are we getting out of them all that we can? When we initially setup our EAM systems did we fully understand the implications of the decisions we made when we setup the Location and Asset hierarchies? Have we gone back to adjust them? Have we gone through the effort of examining ALL of our Location and System hierarchies and how they interact with each other? Many organizations find themselves performing daily maintenance and adjustments on their own EAM systems that are supposed to be helping them. This is often from choices made long ago with limited understanding of capabilities and best practices. Processes have often been put in place that require a significant amount of work to maintain and yet they still don’t provide the promises expected when the system was first implemented. We will discuss best practices around Location hierarchies; how they should be organized, how systems should be utilized and how they interact with Assets. We will further discuss how changes to Location hierarchies can affect you and how to minimize the impact to you. We will discuss the roll of Assets and their structure and how they relate to the Location hierarchy. Finally, we will discuss best practices that can be implemented by users to get them on the path to realizing the efficiencies their EAM system can bring to them.

Simple Failure Reporting: High Quality Reliability Data is Not Hard to Get

Simple Failure Reporting: High Quality Reliability Data is Not Hard to Get

IMC-2016 Reliability Engineering for Maintenance - 39:54 
by Rick Crory, Crory & Associates, Inc. and Samuel Paske, Metropolitan Council Environmental Services

Despite impressive gains increasing plant reliability in most industries, organizations still struggle with the raw material of reliability improvement - failure data. This paper uncovers two linked reasons: Poorly understood benefits and excessively high costs. The benefits of collecting and acting on good reliability information are not clearly understood. Similarly, the right level of information has not been established. Reliability data can be so detailed that it requires significant effort to create and manage, or it is so high level that it offers little actionable insight. There seems to be no middle ground of both actionable insight and reasonable effort.

Until now. Starting with clearly identified benefits, businesses can clearly make the case to staff and management for the extra effort good failure data requires. Businesses are concerned with 3 things related to physical assets: performance, risk and cost. Good failure data can be used to maximize performance, manage risk and control costs by optimizing maintenance activities and identifying assets for capital investment. In both cases, spending is used to sustain plant profitability rather than the other way around.

Currently most organizations chose to align collection of failure data to each asset class/type. This results in tens if not hundreds of failure classes/codes when in truth assets typically fail for one of three reasons; electrically, mechanically or structurally. Additionally, best in class CMMSs tend to tie failure data to the asset (e.g. problem, cause, remedy) ignoring component which is key to determining the actual failure mode for reliability analysis. In order to resolve this gap organizations incorporate components into the failure data further ballooning the amount of data needing to be created and thus maintained. The end result with so many selections to chose from maintenance workers in the field are overwhelmed and in many cases pick what ever values come up first thus incorrect data is collected. This vast amount of data impacts mobile applications as well when trying to download thousands if not tens of thousands of codes onto a handheld device. Bottom line to the organization is high cost due to vast amounts of data creation/maintenance, incorrect/inaccurate data to engineers and valuable time lost in getting this data downloaded for use in the field.

Building and Sustaining a Long-Term Condition Monitoring Program

Building and Sustaining a Long-Term Condition Monitoring Program

IMC-2016 Learning Zone Session - 28:14
by Tod Baer, Minnkota Power Cooperative

Justifying and managing a successful conditioning monitoring program in its early stages may appear to be quite easy. Management and the individuals involved are excited about the new technologies being used to easily detect and correct equipment fault conditions. The financial and reliability impacts are substantial in the early years when the well-known and recurring problems are addressed.

Training: Where the Rubber Meets the Road

Training: Where the Rubber Meets the Road

IMC-2016 Maximo Learning Zone 32:44
by Jill Owen, General Motors

Training is one of the key components of success for any company. You can have the best maintenance system in place but if your user community doesn’t understand how to use it, you are doomed to fail. Therefore, it is imperative to understand what business problem you are trying to solve, the importance of training the users to support the maintenance strategy, and how to monitor that the training was successful while focusing on developing an environment of continuous learning. At General Motors, we have faced many obstacles in developing a training strategy for Maximo that aligns with our Global Maintenance Strategy. We have developed different methods of training over time to provide our plants the best chance to be successful. This session will provide insight on how General Motors develops training, what methods we use to deliver the material, how we track progress, and encourage feedback.

Failure Modes to Failure Codes in Maximo- Part 3

Failure Modes to Failure Codes in Maximo- Part 3

IMC-2016 - 49:58 
by Derek Burley, Blue Sky Reliability Consulting, LLC and John Reeve, Total Resource Management

When organizations wonder why their CMMS contains poor failure data, lacks analytical capabilities and is devoid of any form of failure analysis process, it is because the implementation team assumed the software itself would magically assemble meaningful data to identify worst offenders. Or, it is because the Core Team has not understood the benefits behind chronic failure analysis. Or, it is because the reliability engineer was never involved in the implementation and optimization of the system.
A few months ago, I was told the story of a maintenance engineer who spent 2 months reading through text fields on the work order to glean relevant information to help him identify the key failure modes of the asset in question. So why did this happen? Why weren’t the failure codes properly entered in the CMMS?
There are multiple reasons. But let’s first say this is one of the modern day puzzles within the CMMS community. After 2 decades (based on my field experiences) the majority of all sites - and all industries - have never successfully performed chronic failure analysis by leveraging actionable data direct from the CMMS. This is most unfortunate because 40-60% of all maintenance costs reside in this area.
This 3 hour seminar will involve the audience in a detailed discussion to discover a better solution. Key topic points will include:
Define failure data, failure codes, and failure mode (the language of RCM)
Define the ideal failure analytic, Pareto style.
Define the role of a Reliability Team
Describe how this entire process can be implemented.
Participants will absolutely walk away with an answer to this age old problem. Don't miss out on the largest potential benefit to your CMMS.

Failure Modes to Failure Codes in Maximo- Part 2

Failure Modes to Failure Codes in Maximo- Part 2

IMC-2016 - 49:05
by Derek Burley, Blue Sky Reliability Consulting, LLC and John Reeve, Total Resource Management

When organizations wonder why their CMMS contains poor failure data, lacks analytical capabilities and is devoid of any form of failure analysis process, it is because the implementation team assumed the software itself would magically assemble meaningful data to identify worst offenders. Or, it is because the Core Team has not understood the benefits behind chronic failure analysis. Or, it is because the reliability engineer was never involved in the implementation and optimization of the system.
A few months ago, I was told the story of a maintenance engineer who spent 2 months reading through text fields on the work order to glean relevant information to help him identify the key failure modes of the asset in question. So why did this happen? Why weren’t the failure codes properly entered in the CMMS?
There are multiple reasons. But let’s first say this is one of the modern day puzzles within the CMMS community. After 2 decades (based on my field experiences) the majority of all sites - and all industries - have never successfully performed chronic failure analysis by leveraging actionable data direct from the CMMS. This is most unfortunate because 40-60% of all maintenance costs reside in this area.
This 3 hour seminar will involve the audience in a detailed discussion to discover a better solution. Key topic points will include:
Define failure data, failure codes, and failure mode (the language of RCM)
Define the ideal failure analytic, Pareto style.
Define the role of a Reliability Team
Describe how this entire process can be implemented.

Participants will absolutely walk away with an answer to this age old problem. Don't miss out on the largest potential benefit to your CMMS.

Failure Modes to Failure Codes in Maximo- Part 1

Failure Modes to Failure Codes in Maximo- Part 1

IMC-2016 - 45:20
by Derek Burley, Blue Sky Reliability Consulting, LLC and John Reeve, Total Resource Management

When organizations wonder why their CMMS contains poor failure data, lacks analytical capabilities and is devoid of any form of failure analysis process, it is because the implementation team assumed the software itself would magically assemble meaningful data to identify worst offenders. Or, it is because the Core Team has not understood the benefits behind chronic failure analysis. Or, it is because the reliability engineer was never involved in the implementation and optimization of the system.

A few months ago, I was told the story of a maintenance engineer who spent 2 months reading through text fields on the work order to glean relevant information to help him identify the key failure modes of the asset in question. So why did this happen? Why weren’t the failure codes properly entered in the CMMS?

There are multiple reasons. But let’s first say this is one of the modern day puzzles within the CMMS community. After 2 decades (based on my field experiences) the majority of all sites - and all industries - have never successfully performed chronic failure analysis by leveraging actionable data direct from the CMMS. This is most unfortunate because 40-60% of all maintenance costs reside in this area.

This 3 hour seminar will involve the audience in a detailed discussion to discover a better solution. Key topic points will include:

Define failure data, failure codes, and failure mode (the language of RCM)

Define the ideal failure analytic, Pareto style.

Define the role of a Reliability Team

Describe how this entire process can be implemented.

Participants will absolutely walk away with an answer to this age old problem. Don't miss out on the largest potential benefit to your CMMS.

A New Context: The Industrial Internet of Things

A New Context: The Industrial Internet of Things

IMC-2016 RAP Talk - 20:12 
by John Murphy, Reliabilityweb.com

What is the Industrial Internet of Things? In this RAP Talk from IMC-2016, John Murphy breaks the term down by explaining the various pieces of it. According to Murphy, the new context is Industrial Internet of Things is part of asset management. Asset managers must be thinking about that as they make any investment going forward.

Cognitive Solutions - The Future is NOW

Cognitive Solutions - The Future is NOW

IMC-2016 RAP Talk - 18:41
Terry Saunders, IBM

Innovation that involves cognitive computing—that’s what Terry Saunders from IBM covers in this informative RAP Talk from IMC-2016. Saunders talks about what cognitive computing can do today and what it can do for our future. To illustrate his points, IBM’s cognitive system, Watson, is discussed in detail. There are also examples of how it can address concerns in today’s workforce.

Engineering Technology and Reality Modeling Enables Whole Life Asset Management

Engineering Technology and Reality Modeling Enables Whole Life Asset Management

IMC-2016 RAP Talk - 22:46 
by Greg Bentley, CEO, President and Chairman of the Board of Bentley Systems

Greg Bentley, CEO, Bentley Systems, discusses his near-term predictions of the visual workplace and the technologies available today for maintenance professionals to work in a realistic 3D visualization environment where asset information is accessible and understood in context. Bentley, a thought leader in engineering technology, will convince you that reality modeling is going mainstream. The adoption rate of UAVs and reality modeling is making continuous surveying of assets a reality for "inspectioneering”.

Monitoring Mobile Mining Equipment - Challenges & Solutions

Monitoring Mobile Mining Equipment - Challenges & Solutions

The RELIABILITY Conference - 42:59
by Ron Newman, PRUFTECHNIK Canada

Vibration measurement has come of age in the last 20 years. While the practice of continuous on-line monitoring of critical machines in the oil, gas, and petrochemical industries has been commonplace for several decades, it is only recently that companies who had been using intermittent data collection techniques are now embracing continuous monitoring. The benefits are substantial! The new “horizon” is mobile equipment … draglines, shovels, bucket-wheel excavators, stacker-reclaimers, heavy haul trucks, are all equally important to production and just as “critical” as a gas compressor. However, unlike stationary machinery, monitoring mobile equipment brings substantial challenges that must be addressed to ensure accurate, repeatable, and reliable data acquisition. Rapid speed and load variations are just one element of the application. The logistics of sensor mounting, cabling, network communications, and general serviceability, bring unique complications to the task of monitoring these machines. We will discuss these obstacles and present new solutions that have the potential to bring significant reliability improvements to large mobile equipment.

Deciphering Big Data for ACM Success

Deciphering Big Data for ACM Success

The RELIABILITY Conference -
by Tyler Pietri, Program Engineer, Azima DLI

The advent of concepts like Big Data and IIoT promise a brave new world: enterprise level transparency with total situational awareness of industrial asset performance everywhere all the time. It will take time before the full implications of big data are understood, but “total situational awareness” is in our midst, at least as it relates to asset health and performance. Visibility will extend to a variety of day-to-day operating activities, from production and supply chain management to maintenance and reliability practices.

Reliability Centered Asset Management

Reliability Centered Asset Management

Reliability Centered Asset Management - 49:16 
The RELIABILITY Conference 2016-Asset Management Forum 
by Richard Overman, Author

With the transition from the twentieth to the twenty-first century, industry has experienced growth of automated technology, the Internet and computer capability. With so much technology readily available, users have the ability to better monitor their equipment and know the condition of their assets with more precision. However, is more precision necessarily a better thing? Just knowing the asset condition more precisely does not necessarily mean the asset is better managed. A better monitored asset that is not substantially contributing to the function of the organization does not help the organization. Hence, the challenge is to effectively use current and future technologies.

 Interloc Announces Availability of New Mobile Informer Apps for IBM Maximo in Apple App Store

Interloc Announces Availability of New Mobile Informer Apps for IBM Maximo in Apple App Store

Role-based, user-focused mobile applications for IBM Maximo work management and inventory counts (bin counting) now available as free downloads.

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