• 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