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Published On May 2, 2022 | 5 Min Read
The company was struggling to manage maintenance activities with its existing system due to lack of visibility into its maintenance operations.
The company runs 4 Hospitals located in Different Locations. Therefore, maintaining these hospitals is a challenge. The management has to analyze problems manually to avoid the risk of accidents. Critical situations such as water leakages and HVAC malfunctions lead to the disruption of normal daily operations. Previously, the company relied on reactive maintenance activities that are costly and cause long downtimes that are inconvenient for the patients. The management used to record maintenance requests referring to emails received from the facility managers of each hospital building on spreadsheets. In addition, maintenance activities are also manually recorded on sheets, which lack real-time visibility. As a result, management cannot track the maintenance jobs for each building and make fruitful business decisions.
To reduce reactive maintenance expenses, the company wished to streamline the maintenance management process and adopt a proactive maintenance approach. The company chose DreamzCMMS for its maintenance needs after a thorough research process. The company was able to capture real-time data from the equipment, thanks to DreamzCMMS IoT Solution. The facility manager of the respective hospital buildings can now create work orders for maintenance activities. They can easily assign those to technicians using the acquired data. They will be notified in real-time of status updates on the technician’s work, allowing for better coordination. The management can have real-time visibility using data from IoT Sensors attached to the equipment. They can avoid costly reactive maintenance activities.
The company operates 4 Hospitals in various places. The company used DreamzCMMS to assist them onboard all of their hospitals and equipment. DreamzCMMS detected the data that needs for maintenance inspection operations. Once onboarded, DreamzCMMS assisted the company with the installation of IoT Sensors on each equipment. Sensors are attached to equipment in the system to assist data collection and a threshold value is specified over which an alarm is generated. Rules are put up in the rules engine based on a set of parameters to automate the maintenance process. When threshold values are surpassed, warnings are generated and the facility manager will be notified of the same. Hence, the facility manager has real-time visibility into potential equipment problems.
By sensor installation on the equipment, the management will be able to check the equipment’s health in real-time. The management is now able to estimate equipment maintenance requirements ahead of time. And also track them to avoid unplanned failures and reactive maintenance.
The team used to manually record the status of work orders, which results in a lack of real-time visibility. Furthermore, human error and miscommunication lead to incorrect entries.
DreamzCMMS made it easier to record work orders and assign them to the appropriate technicians based on their availability and expertise. The alerts from the IoT Sensors goes to facility managers. DreamzCMMS generates work order automatically. Also it can create and assign work orders to an available technician.
The technicians can use the mobile app to complete the tasks listed in work orders and update them as needed. As a result, stakeholders now have access to real-time status updates, allowing them to better coordinate. This aided management in streamlining the maintenance process and making better resource utilization and operation related decisions.
The management had real-time visibility into available stock quantities, thanks to DreamzCMMS. Furthermore, DreamzCMMS assisted in setting reorder levels so that stakeholders would receive an alert. This aided in determining which spare parts were required and in what quantities. As a result, keeping inventory stocks at an optimal level allows maintenance to run smoothly and helps in optimizing costs of Inventory.
