Evaluation of the logistic model of the reconfigurable manufacturing system based on generalised stochastic Petri nets

To reveal the influence on system performance by the logistic model of reconfigurable manufacturing system (RMS), the generalised stochastic Petri nets (GSPN) modular modelling approach is presented in this paper. It is based upon the characteristics of a bottleneck service. According to this approa...

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Bibliographic Details
Published in:International journal of production research 2012-11, Vol.50 (22), p.6249-6258
Main Authors: Li, G.Q., Mitrouchev, P., Wang, Y., Brissaud, D., Lu, L.X.
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
generalised stochastic Petri nets
Inventory control, production control. Distribution
Logistics
logistics model
Manufacturing
Manufacturing cells
manufacturing systems
Markov analysis
Markov chain
Mathematical models
Modular
Modules
Operational research and scientific management
Operational research. Management science
Petri nets
Production capacity
Productivity
Stochastic models
Stochasticity
Studies
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Summary:To reveal the influence on system performance by the logistic model of reconfigurable manufacturing system (RMS), the generalised stochastic Petri nets (GSPN) modular modelling approach is presented in this paper. It is based upon the characteristics of a bottleneck service. According to this approach, the bottleneck service in the production process is found first. By corresponding different resources in the service to different modules of the GSPN, the module is reconfigured. The analysis of the model using the Markov chain is hereby presented, as is the average utilisation factor of RMS. Following this, the production capacity of different products and the average productivity of reconfigurable manufacturing cells (RMCs) are discussed.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2011.616235