Overview

A computerised maintenance management system (CMMS) contains a computer database of information about an organisation's maintenance operations. This information is used to help maintenance workers do their jobs more effectively (for example, determining which machines require maintenance and which storerooms contain the spare parts they need) and to help management make informed decisions (for example, calculating the cost of machine breakdown repair versus preventive maintenance for each machine, leading to better allocation of resources).

This webinar will give an overview of MaintMaster CMMS cloud based software to simplify planning, accelerate jobs and track the nuts and bolts that make your machines go round – and with no-code configuration, the system is easy to customise. IoT Sensors are also available to detect equipment malfunctions long before breakdowns occur and now can be connected to the CMMS system. There you can follow trends and set trigger alerts for deviations. Once a deviation is detected, a work order will be created on the right machine and sent to the right competence. Maps, images, documents and 3D models, coupled with augmented reality, can then help employees to plan and do the maintenance in the field.Email received confirming agreement.

Speaker

Tom Reames, Sales Director, MaintMaster

Tom has worked in Enterprise Software Sales for 15 years and specifically in maintenance and asset management for the majority of that, spanning multiple industries and roles. Tom currently holds the position of Sales Director UK at MaintMaster Systems since November 2021. Prior to this, Tom worked as a Senior Sales & Account Manager at Ultimo Software Solutions as well as serving as a Business Development Manager for IBM Maximo & Tririga at MACS EU, specialising in enterprise asset management and facilities management solutions. Tom has a BA in in Spanish and Hispanic Studies.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Process Management and Control Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Webinar recording