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.. - STAMPA. - (2005), pp. 1582475.2125-1582475.2130. (Intervento presentato al convegno 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 tenutosi a Seville, Spain nel December 12-15, 2005) [10.1109/CDC.2005.1582475].
A Generalized Stochastic Petri Net Model for Management of Distributed Manufacturing Systems
Dotoli, M.;Fanti, M. P.
2005-01-01
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 presentedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
