Machine Maintenance has never been easier!
According to the International Society of Automation, a typical apparel manufacturing factory loses between 5% and 20% of its manufacturing capacity due to downtime. Traditional preventive maintenance processes require machines to be repaired at intervals based on time or usage. These methods, however, still result in significant instances of machines failure resulting in idle workers, increased scrap rates, lost revenues and angry customers.
STITCH’s machine maintenance management software designed to optimize machines performance, ensuring that preventive tasks happens on schedule, breakdown work orders are handled in real time and with maximum efficiency. AI models can look for patterns in data that indicate failure modes for specific machines or generate more accurate predictions of the lifespan for a machine. When specific failure signals are observed, or machine parts aging criteria are met, the parts can then be replaced during scheduled maintenance windows. A powerful application for preventive, proactive, and deliberate approach to maintenance and repair.