The Maximo Application Suite solves this problem by combining valuable work order information with asset performance to better inform the overall asset management process.
Since April 2021, Interloc has been gaining experience with MAS, building demo scenarios out of installations that include Manage, Health, Monitor, Predict, and Mobile. We want to share our experience.
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Chugach Government Solutions in collaboration with Alirrium, a UIPath RPA implementer, developed a solution to automate Maximo entry between two Maximo systems. The result of this automation returned 2,346 man-hours of effort over a 3 year period.
We will discuss the decisions regarding: - Eliminating legacy customizations - Implementing modern authentication and security - Integrating to on-premise systems
Learn how and why IBM is cultivating a sustainability mindset throughout our teams. Get a glimpse into our approach to operate with sustainable intentions in mind, everyday. Consider how you can apply similar tactics to your maintenance practices.
Maximo IT is the newest add-on to the Maximo Application Suite; how it can help you streamline IT Asset & Service Management by extending the use of Manage. We’ll also discuss IBM’s product plans and roadmap.
The topics they will cover the need for mobile inspections, their approach to determining the appropriate level of inspections, lessons learned during the implementation process, mobile features that were leveraged, future improvements they are considering, and the business benefits they have achieved, including actual numbers indicating efficiency improvements.
Presented by Sergey Sokhatskiy, Managing Director of Vetasi Ukraine, and Konstantyne Korotych, Head of the Technical and Analytical Department of Housing and Communal Services Department of Kharkiv.
Describes efforts to redirect human capital toward higher order work to support additional sustainable work practices and reliability centered maintenance.
Stanford Health Care has used The Joint Commission’s Elements of Performance (EP) and mapped them to job plans, allowing for quick and detailed analysis and reporting of regulated work.
Hear how they have upgraded to Maximo Application Suite and at the same time moved to Azure Cloud. In addition, they implemented Mobile and Visual Inspection to improve inspections and defect management.
Through the case study of Sherwin-Williams’ predictive maintenance and MRO parts Optimization, attendees will learn about the key components of a machine learning project and see the results in action with a demo.
Their upgrade to Maximo Application Suite and implementation of Maximo Mobile involved substantial planning and testing. This session will provide an in-depth look at their process and provide best practices.
There are many myths about reliability, the most common one being that if we do excellent maintenance, we will have excellent reliability. We often make assumptions, for example, if I complete the following tasks (and you should)
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