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...
Uncertainty is a pervasive feature of many models in a variety of fields, from computer science to e...
The advanced handling of uncertainties arising from a wide range of sources is fundamental in qualit...
In this paper, we consider a production machine which may fail and it is necessary to repair the mac...
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as o...
The consideration of uncertainty in manufacturing systems supposes a great advance. Models for produ...
This paper presents a Markov Chain approximation to model stations in manufacturing lines with gener...
This work is devoted to the study of production variability in manufacturing systems with unreliable...
Optimizing manufacturing processes with inaccurate models of the process will lead to unre-liable re...
The main goal of the presented research is to define a methodology for determination of the transiti...
For a manufacturing organization to compete effectively in the global marketplace, cutting costs and...
At present a supply chain poses quite a challenge. The paper presents one the methods supporting dec...
[[abstract]]© 2006 中國工業工程學會 - This study used Markov modulated Poisson process (MMPP) to model suppl...
Asynchronous serial manufacturing lines that fabricate discrete parts are traditionally used in mass...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1989.Includes bi...
AbstractThe purpose of the paper is to demonstrate the use of Monte Carlo modified Markov chains in ...
Uncertainty is a pervasive feature of many models in a variety of fields, from computer science to e...
The advanced handling of uncertainties arising from a wide range of sources is fundamental in qualit...
In this paper, we consider a production machine which may fail and it is necessary to repair the mac...
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as o...
The consideration of uncertainty in manufacturing systems supposes a great advance. Models for produ...
This paper presents a Markov Chain approximation to model stations in manufacturing lines with gener...
This work is devoted to the study of production variability in manufacturing systems with unreliable...
Optimizing manufacturing processes with inaccurate models of the process will lead to unre-liable re...
The main goal of the presented research is to define a methodology for determination of the transiti...
For a manufacturing organization to compete effectively in the global marketplace, cutting costs and...
At present a supply chain poses quite a challenge. The paper presents one the methods supporting dec...
[[abstract]]© 2006 中國工業工程學會 - This study used Markov modulated Poisson process (MMPP) to model suppl...
Asynchronous serial manufacturing lines that fabricate discrete parts are traditionally used in mass...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1989.Includes bi...
AbstractThe purpose of the paper is to demonstrate the use of Monte Carlo modified Markov chains in ...
Uncertainty is a pervasive feature of many models in a variety of fields, from computer science to e...
The advanced handling of uncertainties arising from a wide range of sources is fundamental in qualit...
In this paper, we consider a production machine which may fail and it is necessary to repair the mac...