Modelling and Simulation: Analysis, Design and Optimisation of Industrial Systems
Author: Georges Habchi
Publisher:
Published: 2003
Total Pages: 88
ISBN-13:
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Modelling and Simulation for Analysis and Optimisation of Industrial Systems and Logistics
Author:
Publisher:
Published: 2008
Total Pages:
ISBN-13:
DOWNLOAD EBOOKModeling, Simulation and Optimization
Author: Biplab Das
Publisher: Springer Nature
Published: 2021-03-17
Total Pages: 802
ISBN-13: 9811598290
DOWNLOAD EBOOKThis book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3–5 August 2020. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Process Modelling and Simulation
Author: César de Prada
Publisher: MDPI
Published: 2019-09-23
Total Pages: 298
ISBN-13: 3039214551
DOWNLOAD EBOOKSince process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.
Modeling and Simulation in Industrial Engineering
Author: Mangey Ram
Publisher: Springer
Published: 2017-08-11
Total Pages: 226
ISBN-13: 3319604325
DOWNLOAD EBOOKThis book describes the latest research developments in modeling and simulation in industrial engineering. Topics such as decision and performance analysis and industrial control systems are described. Case studies in industry and services as well as engineering economy and cost estimation are also covered.
Modeling Simulation and Optimization
Author: Shkelzen Cakaj
Publisher: BoD – Books on Demand
Published: 2010-03-01
Total Pages: 324
ISBN-13: 9533070552
DOWNLOAD EBOOKThe book presents a collection of chapters dealing with a wide selection of topics concerning different applications of modeling. It includes modeling, simulation and optimization applications in the areas of medical care systems, genetics, business, ethics and linguistics, applying very sophisticated methods. Algorithms, 3-D modeling, virtual reality, multi objective optimization, finite element methods, multi agent model simulation, system dynamics simulation, hierarchical Petri Net model and two level formalism modeling are tools and methods employed in these papers.
Simulation Modeling and Analysis
Author: Averill M. Law
Publisher: McGraw-Hill Companies
Published: 1991
Total Pages: 800
ISBN-13:
DOWNLOAD EBOOKDesigned for courses at advanced undergraduate or graduate level in industrial engineering and business, this text provides a review of various aspects of simulation study, including modelling, simulation software, validation, and output data analysis.
Modeling, Simulation and Optimization for Science and Technology
Author: William Fitzgibbon
Publisher: Springer
Published: 2014-06-18
Total Pages: 252
ISBN-13: 940179054X
DOWNLOAD EBOOKThis volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problems with multiple criteria; four articles are on numerical methods for applied problems modeled with nonlinear PDEs; two contributions are on abstract estimates for error analysis; finally one paper deals with rare events in the context of uncertainty quantification. Applications include aerospace, glaciology and nonlinear elasticity. Herein is a selection of contributions from speakers at two conferences on applied mathematics held in June 2012 at the University of Jyväskylä, Finland. The first conference, “Optimization and PDEs with Industrial Applications” celebrated the seventieth birthday of Professor Jacques Périaux of the University of Jyväskylä and Polytechnic University of Catalonia (Barcelona Tech) and the second conference, “Optimization and PDEs with Applications” celebrated the seventy-fifth birthday of Professor Roland Glowinski of the University of Houston. This work should be of interest to researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics.
Performance Evaluation of Industrial Systems
Author: David Elizandro
Publisher: CRC Press
Published: 2012-04-11
Total Pages: 507
ISBN-13: 1439871345
DOWNLOAD EBOOKBasic approaches to discrete simulation have been process simulation languages (e.g., GPSS) and event-scheduling type (e.g., SIMSCRIPT). The trade-offs are that event-scheduling languages offer more modeling flexibility and process-oriented languages are more intuitive to the user. With these considerations in mind, authors David Elizandro and Hamdy Taha embarked on the development of a new discrete simulation environment that is easy to use, yet flexible enough to model complex production systems. They introduced this environment, Design Environment for Event Driven Simulation (DEEDS), in Simulation of Industrial Systems: Discrete Event Simulation in Using Excel/VBA. The DEEDS environment is itself an Excel/VBA add-in. Based on this foundation, the second edition, now titled Performance Evaluation of Industrial Systems: Discrete Event Simulation in Using Excel/VBA incorporates the use of discrete simulation to statistically analyze a system and render the most efficient time sequences, designs, upgrades, and operations. This updated edition includes new visualization graphics for DEEDS software, improvements in the optimization of the simulation algorithms, a new chapter on queuing models, and an Excel 2007 version of the DEEDS software. Organized into three parts, the book presents concepts of discrete simulation, covers DEEDS, and discusses a variety of applications using DEEDS. The flexibility of DEEDS makes it a great tool for students or novices to learn concepts of discrete simulation and this book can form the basis of an introductory undergraduate course on simulation. The expanded depth of coverage in the second edition gives it a richness other introductory texts do not have and provides practitioners a reference for their simulation projects. It may also be used as a research tool by faculty and graduate students who are interested in "optimizing" production systems.
Modeling and Simulation in the Systems Engineering Life Cycle
Author: Margaret L. Loper
Publisher: Springer
Published: 2015-04-30
Total Pages: 405
ISBN-13: 144715634X
DOWNLOAD EBOOKThis easy to read text provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Features: reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field; presents contributions from specialists in each topic covered; introduces the foundational elements and processes that serve as the groundwork for understanding M&S; explores common methods and methodologies used in M&S; discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling and distributed simulation; explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes; provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains.
