Modelling manufacturing processes using Markov chains

J Leigh, L Jackson, S Dunnett, H Lugo, R Sharpe, A Neal, A West
2017 Safety and Reliability – Theory and Applications   unpublished
Optimizing manufacturing processes with inaccurate models of the process will lead to unreliable results. This can be true when there is a strong human influence on the manufacturing process and many variable aspects. This study investigates modelling a manufacturing process influenced by human interaction with very variable products being processed. To develop a more accurate process model for such processes radio frequency identification (RFID) tags can be used to track products through the
more » ... ocess. The tags record information for each product and this data can be used to produce more accurate models of the manufacturing process. The data produced has been used to create a Markov chain model. This model is used to predict future product paths for use in discrete event simulation. In this case an IT refurbishment company is used as a case study. RFID tags have been utilized to track the IT products moving through the refurbishment process and this information has been used to produce a Markov chain model.
doi:10.1201/9781315210469-316 fatcat:oth66lacxvgvxfm5axpvdfyq7e