Modeling and Performance Evaluation of IEEE 1394b Bus with Deterministic and Stochastic Petri Net

2012 ◽  
Author(s):  
Yu-sheng Yang ◽  
Changming Zhu
Keyword(s):  
Performance Evaluation ◽  
Petri Net ◽  
Stochastic Petri Net ◽  
And Performance

Petri-net and GA-based approach to modeling, scheduling, and performance evaluation for wafer fabrication

2001 ◽  
Vol 17 (5) ◽  
pp. 619-636 ◽  
Author(s):  
Jyh-Horn Chen ◽  
Li-Chen Fu ◽  
Ming-Hung Lin ◽  
An-Chih Huang
Keyword(s):  
Performance Evaluation ◽  
Petri Net ◽  
Wafer Fabrication ◽  
And Performance

A GENERALIZED STOCHASTIC PETRI-NET MODEL FOR PERFORMANCE ANALYSIS AND ALLOCATION OPTIMIZATION OF A PARTICULAR REPAIR SYSTEM

2013 ◽  
Vol 30 (01) ◽  
pp. 1250042 ◽  
Author(s):  
BINFENG LI ◽  
XIAOBIN LI ◽  
WEIHONG GUO ◽  
SU WU
Keyword(s):  
Performance Analysis ◽  
Petri Net ◽  
High Speed ◽  
Real Field ◽  
Repair System ◽  
Repair Service ◽  
Stochastic Petri Net ◽  
Multiple Parameters ◽  
And Performance ◽  
Generalized Stochastic Petri Net

This paper presents a generalized stochastic Petri-net model for performance analysis and allocation optimization of a repair system with interchangeable inventory. A repair system with interchangeable-inventory is an important type of repair-service, which features components that are assembled circularly with interchangeable-component inventory. Despite improved efficiency, major difficulties in model formulation and performance analysis arise due to a complex fork/join structure and the presence of interchangeable-component inventory. In this study, by applying a generalized stochastic Petri-net to model the fork/join structure and interchangeable inventory, a system with one overhaul center and one interchangeable-component repair shop was defined in the Petri-net by places, transitions and tokens. A performance analysis with single and multiple parameters and simulation experiments was performed according to the real field data of high-speed railway locomotives overhaul. With appropriate weights on each portion of the system resources, the optimal design scenario for the allocation of a specific repair system was achieved to control the overall expenditure.

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