A Distributed Manufacturing System (DMS) is a collection of independent companies possessing complementary skills and integrated with transportation and storage systems. This paper deals with the issues of modeling and managing a DMS. The system is modeled as a timed discrete event dynamical system by generalized stochastic Petri nets. Moreover, two well known broad policies are considered to manage the DMS: make-to-stock and make-to-order. In order to compare the two management techniques and to show the effectiveness of each method, a case study is presented

A Generalized Stochastic Petri Net Model for Management of Distributed Manufacturing Systems

Dotoli, M.;Fanti, M. P.
2005

Abstract

A Distributed Manufacturing System (DMS) is a collection of independent companies possessing complementary skills and integrated with transportation and storage systems. This paper deals with the issues of modeling and managing a DMS. The system is modeled as a timed discrete event dynamical system by generalized stochastic Petri nets. Moreover, two well known broad policies are considered to manage the DMS: make-to-stock and make-to-order. In order to compare the two management techniques and to show the effectiveness of each method, a case study is presented
44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
0-7803-9567-0
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/17868
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