Kirjahaku

Modeling Discrete-Event Systems with GPenSIM describes the design and applications of General Purpose Petri Net Simulator (GPenSIM), which is a software tool for modeling, simulation, and performance analysis of discrete-event systems. The brief explains the principles of modelling discrete-event systems, as well as the design and applications of GPenSIM. It is based on the author’s lectures that were given on “modeling, simulation, and performance analysis of discrete event systems”. The brief uses GPenSIM to enable the efficient modeling of complex and large-scale discrete-event systems. GPenSIM, which is based on MATLAB®, is designed to allow easy integration of Petri net models with a vast number of toolboxes that are available on the MATLAB®. The book offers an approach for developing models that can interact with the external environment; this will help readers to solve problems in industrial diverse fields. These problems include:airport capacity evaluation for aviation authorities;finding bottlenecks in supply chains;scheduling drilling operations in the oil and gas industry; andoptimal scheduling of jobs in grid computing. This brief is of interest to researchers working on the modeling, simulation and performance evaluation of discrete-event systems, as it shows them the design and applications of an efficient modeling package. Since the book also explains the basic principles of modeling discrete-event systems in a step-by-step manner, it is also of interest to final-year undergraduate and postgraduate students.

This book offers a new Modular Petri Net as a solution to the vast Petri net models. It presents some approaches centering around modules (known as “Petri modules”). The goal of this book is to introduce a methodology in which Petri nets are moved to a new level. In this new level, large Petri net models are made of Petri modules, which are independent and run on different computers. This book also contains the literature study on modular Petri nets and definitions for the newer Petri modules. Also, algorithms for extracting Petri modules, and algorithms for connecting Petri modules, and applications are given in this book. Besides, the ideas and algorithms given in this book are implemented in the software General-purpose Petri Net Simulator (GPenSIM). Hence, with the use of this book the readers/users would be able to know that real-life discrete event systems could be modeled, analyzed, and performance-optimized with GPenSIM.

This book offers a new Modular Petri Net as a solution to the vast Petri net models. It presents some approaches centering around modules (known as “Petri modules”). The goal of this book is to introduce a methodology in which Petri nets are moved to a new level. In this new level, large Petri net models are made of Petri modules, which are independent and run on different computers. This book also contains the literature study on modular Petri nets and definitions for the newer Petri modules. Also, algorithms for extracting Petri modules, and algorithms for connecting Petri modules, and applications are given in this book. Besides, the ideas and algorithms given in this book are implemented in the software General-purpose Petri Net Simulator (GPenSIM). Hence, with the use of this book the readers/users would be able to know that real-life discrete event systems could be modeled, analyzed, and performance-optimized with GPenSIM.

This book addresses the need for users to understand the internal workings of GPenSIM's functions, including their design and how they can be extended to model and analyze scenarios that were previously not possible. It presents previously unavailable internal details of these functions, demonstrating how systems that could not be modeled in the past can now be analyzed by extending the capabilities of the GPenSIM tool. This book concentrates on the internal mechanics of the GPenSIM tool, specifically aimed at benefiting tool developers and designers. GPenSIM is a tool for modeling discrete systems, widely used in many universities around the world. The author of this book developed GPenSIM, which has been utilized to model various practical scenarios. Users often seek to understand the inner workings of GPenSIM, such as its design and its integration with other tools. This book addresses these aspects and acts as a reference manual for GPenSIM, helping users quickly grasp the various ways to utilize its functions and how these can be tailored to specific cases. One of the notable features of GPenSIM is its tight integration with MATLAB. This not only facilitates easy deployment and operation but also allows users to leverage MATLAB's extensive libraries for practical applications across various fields. The details provided in this book, along with its structured format, will greatly assist both university students and practicing engineers.

This book offers a practical approach to modeling real-world discrete systems and performing analysis. The theory behind the book is the Colored Petri nets, and the tool used for simulations is general-purpose Petri net simulator (GPenSIM). The theory part is kept to a minimum, and more explanation is given to the GPenSIM functions and how they can be used for modeling, simulation, and performance analysis. Real-world industrial systems possess a large number of resources. Modeling these systems with Petri nets would become a problem as they result in huge Petri net models. This book offers a unique solution to this problem by moving resources away from the Petri net model and treating them as variables in the background. Also, the theory and practice put forward in the book help cost estimation of the systems (e.g., manufacturing subsystems).

This book offers a practical approach to modeling real-world discrete systems and performing analysis. The theory behind the book is the Colored Petri nets, and the tool used for simulations is general-purpose Petri net simulator (GPenSIM). The theory part is kept to a minimum, and more explanation is given to the GPenSIM functions and how they can be used for modeling, simulation, and performance analysis. Real-world industrial systems possess a large number of resources. Modeling these systems with Petri nets would become a problem as they result in huge Petri net models. This book offers a unique solution to this problem by moving resources away from the Petri net model and treating them as variables in the background. Also, the theory and practice put forward in the book help cost estimation of the systems (e.g., manufacturing subsystems).