Performance evaluation of knowledgeable manufacturing systems using Petri nets considering dynamic events

Author

Lv Youlong ; Zhang Jie

Author_Institution

Sch. of Mech. Eng., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2011

fDate

6-9 Dec. 2011

Firstpage

1821

Lastpage

1825

Abstract

As the market changes more and more severely, the variation of manufacturing environment becomes more dynamic and has greater influence on the performance of KMS. So studying the dynamism and obtaining the knowledge of the dynamism are important for KMS. This paper analyzes the dynamic events in KMS and their influence on performance of KMS. Stochastic Petri nets are introduced as a way to build the model of KMS. Three typical kinds of dynamic events (equipment failure, work piece rework and rush orders) are extracted based on the characteristics of KMS and are expressed in the Petri nets. Then Petri nets for a specific KMS is built and a performance evaluation method of such Petri nets is proposed. Experiments are also conducted to validate this evaluation method.

Keywords

Petri nets; manufacturing systems; performance evaluation; KMS; dynamic events; knowledgeable manufacturing systems; performance evaluation method; stochastic Petri nets; Dynamic scheduling; Job shop scheduling; Manufacturing systems; Performance evaluation; Petri nets; Workstations; Dynamic events; KMS; Performance evaluation; Stochastic Petri nets;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on

Conference_Location

Singapore

ISSN

2157-3611

Print_ISBN

978-1-4577-0740-7

Electronic_ISBN

2157-3611

Type

conf

DOI

10.1109/IEEM.2011.6118230

Filename

6118230