Batch deterministic and stochastic Petri nets. A tool for modeling and performance evaluation of supply chain

Author

Chen, H. ; Amodeo, L. ; Chu, F.

Author_Institution

Ind. Syst. Optimization Lab., Technol. Univ. of Troyes, France

Volume

1

fYear

2002

fDate

2002

Firstpage

78

Abstract

Batch deterministic and stochastic Petri nets are developed as a new tool for modeling and performance evaluation of supply chain. It is derived by enhancing deterministic and stochastic Petri nets. with batch places and batch tokens. Batch tokens, which have sizes and reside in batch places, are used to describe the information flow of a supply chain, while discrete tokens residing in discrete places are used to describe the material flow and the financial flow. By incorporating stochastic Petri nets with the batch features, inhibitor arcs, and marking-dependent weights, operational policies of a supply chain can be easily described in the model. A real-life supply chain is modeled by applying this tool and its performance is evaluated and optimized by simulation.

Keywords

Petri nets; stochastic processes; stock control; BDSPN; batch deterministic stochastic Petri nets; batch features; batch places; batch tokens; discrete tokens; financial flow; information flow; inhibitor arcs; marking-dependent weights; material flow; performance evaluation; supply chain; Costs; Discrete event systems; Inhibitors; Laboratories; Petri nets; Power system modeling; Stochastic processes; Supply chains; Transportation; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on

Print_ISBN

0-7803-7272-7

Type

conf

DOI

10.1109/ROBOT.2002.1013342

Filename

1013342