1. PRASHANT BARGE - Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Pune, India.
2. SHILPA PARKHI - Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Pune, India.
3. KIRAN KARANDE - Symbiosis School of Business and Finance, Symbiosis International (Deemed University), Pune, India.
Low Production Efficiency & low Throughput because of unplanned downtime of machines are always vital concerns in the MSME PVC sector, as reported by many research studies. The Industrial Internet of Things (IIoT) is a part of the industry 4.0 revolution. 'Kevin Ashton coined the Internet of Things' term in 2009. As found by some studies, its application in Smart Predictive Maintenance (SPM) is very well accepted by industries of large-scale industries. Still, the MSME sector is not yet aware of its cost-benefit analysis. This research follows the case research method. The case discusses the implementation and benefits of IIoT for one MSME from one of the countries, one of the largest manufacturing hubs. This research aims to validate the IIoT benefits to improve Production Efficiency by employing Smart Predictive Maintenance (SPM) schedules, reducing the unplanned downtime of machines due to sudden failures. The case under study discusses the application of IIoT and corresponding improvements in Predictive Maintenance from one of the leading PVC pipe Industries. This research, the end presents the general IIoT framework for MSME PVC industries to reduce unplanned downtime and increase their Production Efficiency.
IIoT, Unplanned Downtime, Production Efficiency, PVC Industry, MSME