Abstract:
Manufacturing is an essential aspect to the global economy and prosperity.
Many Manufacturing systems operate in an uncertain environment which
affects the system performance. Production planning is very key in improving
the overall manufacturing system performance. Systems that apply production
planning approaches not considering uncertainties yield inferior planning
decisions as compared to those that explicitly account for the uncertainty.
Markov chains can be used to capture the transition probabilities as changes
occur. Some existing literature on application of Markov chains in
manufacturing systems has been reviewed. The objective is to give the reader
beginning points about uncertainty modelling in manufacturing systems using
Markov chains.
