Title of article
Application of Markov chains in manufacturing systems: A review
Author/Authors
Ssempijja ، Maureen Nalubowa Department of Manufacturing, Industrial and Textile Engineering - Faculty of Engineering - Moi University , Namango ، Saul Department of Manufacturing, Industrial and Textile Engineering - Faculty of Engineering - Moi University , Ochola ، Jerry Department of Manufacturing, Industrial and Textile Engineering - Faculty of Engineering - Moi University , Mubiru ، Paul Kizito Department of Mechanical and Production Engineering - Faculty of Engineering - Kyambogo University
From page
1
To page
13
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.
Keywords
Manufacturing systems , Uncertainties , Production planning , Markov chains
Journal title
International journal of industrial engineering and operational research
Journal title
International journal of industrial engineering and operational research
Record number
2765278
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