Application of CUSUM Control Charts in Maintenance Activities

Statistical Process Control (SPC) is a collection of useful and effective methods for problem-solving that aim to stabilize processes, increase their capacity, and ensure quality assurance, which is a key factor in how customers choose products and services.This research focuses on the application of SPC techniques in the maintenance of oil-free air compressor in Alyoum for Food Industry manufacturing plant.The aim of this study is to develop control charts for pressure, temperature, and time between failures (TBF) of the compressor, using both Shewhart and cumulative sum (CUSUM) methods and to investigate whether CUSUM control charts can be an effective tool for monitoring the pressure and temperature levels compared with Shewhart control charts, and predicting potential equipment failures before they occur by monitoring a particular performance indicator.The study uses data collected over 100 days to construct the control charts and evaluate their effectiveness in detecting changes in the process.The results show that the CUSUM method is more effective in detecting small shifts in the process mean compared to the Shewhart method.The average run length (ARL) is used as a performance measure for the CUSUM method, and it is found that increasing the value of the decision interval (h) increases the ARL.The study concludes that the CUSUM method is more suitable for monitoring the compressor process due to its ability to detect small shifts in the process mean.The study recommends further research on the application of modified CUSUM charts and other SPC techniques for monitoring the compressor process.