Batch deterministic and stochastic Petri nets approach for modeling and performance analysis of inventory systems: application to (s, S) inventory system

Author

Labadi, Karim ; Amodeo, Lionel ; Chen, Haoxun

Author_Institution

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

Volume

2

fYear

2006

Firstpage

977

Lastpage

983

Abstract

This paper is dedicated to modeling and performances analysis of inventory systems using BDSPN, a stochastic Petri net model capable of describing essential characteristics of logistical systems (batch behaviors, randomness, operational policies, synchronization of various flows). In this paper, an analytic method based on the Markov regenerative theory introduced by Choi for a particular class of stochastic Petri nets is presented and applied to our model. An inventory system with (batch) stochastic demand; constant replenishment lead time and continuous review (s, S) policy is modeled and its performances are evaluated using the analytic method

Keywords

Markov processes; Petri nets; batch processing (industrial); inventory management; logistics; performance evaluation; BDSPN; Markov regenerative theory; batch deterministic approach; inventory system; logistical system; performance evaluation; replenishment lead time; stochastic Petri nets; stochastic demand; Costs; Inhibitors; Laboratories; Performance analysis; Performance evaluation; Petri nets; Stochastic processes; Stochastic systems; Supply chains; Tellurium; Inventory system; modeling; performance evaluation; stochastic Petri nets;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Systems and Service Management, 2006 International Conference on

Conference_Location

Troyes

Print_ISBN

1-4244-0450-9

Electronic_ISBN

1-4244-0451-7

Type

conf

DOI

10.1109/ICSSSM.2006.320777

Filename

4114623