Locally, asset maintenance carried out in a manufacturing plant follows the traditional work process. A machine breaks down – a supervisor is notified- maintenance department is notified- a physical work order is issued/ external suppliers are called in- costing and spare parts are sorted out and finally the machine gets fixed.

So how can automated asset maintenance help a plant?

• Maintenance needs are provided as alerts based on the data received from the machines ahead of a breakdown.
• Through immediate notifications, maintenance work orders can be created in the system and directed to relevant parties for follow-up action. No physical paperwork is required and maintenance work can start almost immediately.
• Predictive maintenance is made possible with frequent checks scheduled based on data analytics. This avoids major breakdowns and disruptions to the machines.
• Asset history includes detailed maintenance logs that can be extracted instantaneously and is also a valuable tool for when machines are moved to different facilities or partner locations.
• Interactive dashboards that give a bird’s eye view of all asset health. KPIs can be tracked effectively and delivered via notifications on site and on mobile devices as well. Plants can be maintained on the go with 100% process transparency.
• Complete management reports that can help decision makers take informed decisions that are backed with complete logs and data directly from the machines.

Smart Asset Maintenance (SAM) is an intelligent combination of physical maintenance processes with AI and Big Data capabilities. As a whole it eliminates maintenance challenges of time, cost, communication and consistency to create a seamless maintenance experience despite the complexities.