Simulation and Performance Analysis of Manufacturing Systems Using Deterministic and Stochastic Petri Nets
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Date
2007-02
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Addis Ababa University
Abstract
Most of manufacturing industries in our country practice the traditional production systems.
Effective management of the steady state operation is no longer enough to ensure the survival,
let alone the success, of an organization. The performance of the operations has to be
improved continually in all its aspects, and it is driven by the quest for increased productivity,
flexibility and continuously changing competitive environment.
The increasing global character of market for goods and services, is stimulated by the factors
like improvements in transport, telecommunication and data communication systems, the
rapid technological advancement, and primarily the automation of manufacturing operations
to decrease cost of manufacturing, product life and dependable deliveries. These features of
the competitive environment certainly point to the need for continuous performance analysis
and improvement of manufacturing systems. Therefore, whether it is a manufacturing-based
or a service-based company, the key to stay at the apex of global competition is to meet the
dynamically changing need of customers.
Manufacturing systems simulation and performance analysis using Petri Nets is one of the
promising tools employed for assessing performance and then taking the necessary measures
for improvements of existing deficiencies. Petri Nets are graphical and mathematical tools for
studying discrete event systems and have been under extensive development since Petri
defined the language in 1962. Petri Net models are now common place within the sphere of
performance modeling of manufacturing systems due to reasons like graphical and precise
representation of system activities and models at various levels of detail and ability to capture
the existence of concurrency, parallelism, resource constraints and process dependencies
accurately.
This study therefore, focuses on Modeling and analyzing the performance of the
manufacturing process of Addis Engineering Center, one of the manufacturing industries in
the country, using Petri Net so as to evaluate various performance parameters such as
utilization rate of machines, bottleneck detection, cycle time, and throughput rate of system
under consideration and providing solutions and recommendations for the pitfalls and
ramification for attaining the optimum productivity.
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Mechanical Engineering