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Title: LEVERAGING IOT TO MONITOR EQUIPMENT HEALTH AND PREVENT FAILURES THAT CAN DISRUPT SUPPLY CHAINS: A PRIMARY STUDY OF INDUSTRIAL PRACTICES
Authors: Faraz Jilani, Agha Razaullah, Syed Muhammad Haris, Haider Ali, Momin Hussain
Journal: Center for Management Science Research
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Visionary Education Research Institute
Country: Pakistan
Year: 2025
Volume: 3
Issue: 3
Language: en
Keywords: Internet of Things (IoT)operational efficiencyReal-Time DataSupply Chain ResiliencePredictive Maintenancesmart manufacturingEquipment MonitoringIndustrial IoTPrimary ResearchDowntime Presentation
In the industrial sector nowadays, it is vital that equipment is reliable to ensure smooth and effective supply chain operations. Machine failure may lead to production halt, increased operating expenses, and supply chain delays. The paper examines how to internet of things can be used to monitor the health of equipment and prevent failure. The collected data through surveys and visiting numerous industrial organizations in Pakistan. Operation management experts, engineers, and IT experts all explained how IoT-based monitoring functions. It is well-known that a substantial portion of companies currently is utilizing sensors to monitor crucial factors such as temperature and vibration within their machinery. Predictive maintenance to avoid unexpected breakdowns can be carried out with these systems. It was also found out that the availability of real-time data assists in decision-making and makes the supply chain more reliable. With the help of IoT systems, businesses are able to perform predictive maintenance that reduces downtime and makes the supply chain more reliable. While IoT is helpful for running things, it was discovered that setting it up and getting the required knowledge is still challenging. The study points out that boosting IoT technology and educating staff can help the supply chain face risks. Sensors are now commonly used by companies to monitor the temperature and vibration of their equipment, the study shows.
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