- COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM MAXIMO MANUAL
- COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM MAXIMO SOFTWARE
Maximo Asset Health lists clients such as AGR Group, Australian Maritime Systems, Brisbane Motorway Services, ConnectEast, CNR International, Drax Power Station.Īccording to a case study, AGR, which provides on-site maintenance services for oil and gas sites, approached IBM with interest in upgrading maintenance and workflow systems on their clients’ worksites. While we could not find a demo showing what the interface looks like for a user, the 1-minute video below demonstrates how the product might be used:
COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM MAXIMO SOFTWARE
IBM claims the software also takes factors into account including the machine’s age and maintenance history. Launched by IBM, Maximo Asset Health uses data from IBM Watson and sensors prebuilt on to machines to determine if and when a piece of machinery or part will need maintenance. With this report, we hope to give business leaders in heavy industry insight on how companies claim to use AI to help manufacturers avoid high maintenance costs.
CMMS Systems: Systems that both monitor asset performance and allow users to assign and track repair work orders. Asset Performance: The company’s primary goal is using sensors or other data to determine and notify manufacturers when a piece of machinery is broken or not working. These companies offer software for use in two applications: With the digitization of many manufacturing plants and the reported costs of reactive maintenance needed to fix machinery in mind, we have put together a list of five companies that claim to offer software using AI for predictive maintenance. While predictive maintenance allows manufacturers to attempt to predict how long a piece of machinery will last, preventative maintenance involves repairing the machinery to keep it working longer.Ī 2017 report from Plant Engineering found that 51% of manufacturing companies now use a computerized maintenance management system (CMMS). Let one of our CMMS expert talk to you to learn more about CONSYST CMMS Solutions.With the entrance of artificial intelligence and its capabilities of recognizing temperature, vibration, and other factors from sensors pre-built into machinery and vehicles, business leaders in heavy industry might be interested in the possible opportunities of predictive and preventative maintenance applications. We help our clients to optimize the use of their assets and reach cost effectiveness as Availability, Performance and longevity are our primary motto to enhance the performance. Our customers report measurable improvements and we have achieved a high rate of client satisfaction. Since its inception, CONSYST has been instrumental in providing strategic solutions that changed the face of maintenance and facilities management. Predictive & Periodic Maintenance Management. Reduces Downtime & Improves Asset Life: Proper Maintenance at Right Time avoids unexpected breakdowns. Digitization makes access to historical reports quick and easy. COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM MAXIMO MANUAL
Quick Access to Maintenance History: Searching manual logbooks for historic information is hectic. Avoids Manual Entry: Integrating real-time data from OT systems avoids paper-based data exchange and enables automated data flow. Digitization helps increase efficiency and accuracy. Simplifies Maintenance Process: Manual maintenance processes are time-consuming and prone to human errors.
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