A method of garment factory workers’ performance monitoring using control chart based on RFID system

Abstract

Massive production data of front-line workers are recorded every day by RFID system in garment factory, which are mainly in multiple variety and small batch production. To maintain productivity and consistency of front workers, a technique is proposed to monitor the mean and variance of front-line workers’ production time based on the recorded data to avoid bottleneck operation. Results of monitoring can be used to schedule allocations and workers’ performance assessment. Two front-line workers’ SPC control charts are made as examples, and procedures are given simultaneously: changing batch data to daily data; finding critical point of the process, after the critical point, the process is stable; making SPC control charts to monitor both mean and variance of workers. The first 7 to 10 days data are utilized to build optimal hyperbolic curve models to find critical point for the process; mean of monitored variables are forecasted after about 10 days of production. Stable data after critical point are utilized to make control charts, to monitor both mean and variance of monitored variables.