Monitoring Labour Productivity Using a Time Series Approach Available to Purchase

A measure of the performance of an operation at a plant is the plant labour productivity index. Deviations in this index often precede changes in the end product delivery time, and the overall company profitability. In this research, uses the M‐type Iterative Procedure and a level shift routine to model this index in terms of ARIMA (p,d,q) process, and to locate outliers and level shifts. These deviations help in identifying changes in this productivity index.