All assets require planned preventative maintenance, ad hoc tests or a mixture of both, which is why the Pro-Cloud asset management system has been developed to automate scheduled maintenance, process ad hoc tests and alert personnel when required. Specific tasks and tests can be allocated to an asset, making sure they are used to their optimum and health and safety procedures are always adhered to.
Pro-Cloud allows every asset to have a defined planned preventative maintenance schedule including inspections or services with specific time frames and service patterns applied. If, for example, an asset was purchased on the 5th January 2017 and it had a 6-month load test (LOLER) and an Annual PAT test applied to the catalogue product, these activities would be generated - A LOLER test would be scheduled for the 5th July 2017 and a PAT & LOLER test would be scheduled for the 5th January 2018. Pro-Cloud also allows for a user to bring forward planned preventative maintenance, therefore if the date of an inspection or service was completed early or late the anniversary would be regenerated accordingly.
Pro-Cloud has the ability to generate ad hoc tasks or tests, allowing for an activity to be completed aside from its set schedule. Every individual task or test can have simple information recorded such as completed time and date, who it was completed by etc. More importantly every inspection or service will have a completion questionnaire attached, allowing for detailed information to be logged for a specific maintenance process. Technicians will also have the ability to view any PPE wear required to perform an activity and take photos of asset faults, which will automatically be displayed within the systems interface.
This modules aim is for management to gain a panoramic view of their entire inventory. In real-time managerial staff can log into Pro-Cloud and view all incomplete, passed and failed activities. If an activity fails custom email alerts can be arranged so issues are resolved as quickly as possible, allowing for full analysis of failure trends enabling better procurement decisions based on these results.