Stochastic Modelling In Process Technology

Author : Herold G. Dehling,Timo Gottschalk,Alex C. Hoffmann
Publisher : Elsevier
Page : 290 pages
File Size : 42,9 Mb
Release : 2007-07-03
Category : Mathematics
ISBN : 0080548970

Get Book

Stochastic Modelling in Process Technology by Herold G. Dehling,Timo Gottschalk,Alex C. Hoffmann Pdf

There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computing the probability distribution for a single particle's position in the process vessel, and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation and solution of differential conservation equations. Using this technique can greatly simplify the formulation of a model, and even make modelling possible for processes so complex that the traditional method is impracticable. Stochastic modelling has sporadically been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques. The book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may be formulated for a case, which cannot be described by formulating and solving differential balance equations. Introduction to stochastic process modelling as an alternative modelling technique Shows how stochastic modelling may be succesful where the traditional technique fails Overview of stochastic modelling in process technology in the research literature Illustration of the principle by a wide range of practical examples In-depth and self-contained discussions Points the way to both mathematical and technological research in a new, rewarding field

Author : Howard M. Taylor,Samuel Karlin
Publisher : Academic Press
Page : 410 pages
File Size : 54,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483269276

Get Book

An Introduction to Stochastic Modeling by Howard M. Taylor,Samuel Karlin Pdf

An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.

Author : Shunji Osaki
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 52,7 Mb
Release : 2012-11-02
Category : Mathematics
ISBN : 9783540248088

Get Book

Stochastic Models in Reliability and Maintenance by Shunji Osaki Pdf

Our daily lives can be maintained by the high-technology systems. Computer systems are typical examples of such systems. We can enjoy our modern lives by using many computer systems. Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. A stochastic process is a set of outcomes of a random experiment indexed by time, and is one of the key tools needed to analyze the future behavior quantitatively. Reliability and maintainability technologies are of great interest and importance to the maintenance of such systems. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes. The theme of this book is "Stochastic Models in Reliability and Main tainability. " This book consists of 12 chapters on the theme above from the different viewpoints of stochastic modeling. Chapter 1 is devoted to "Renewal Processes," under which classical renewal theory is surveyed and computa tional methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and ag ing properties can be characterized by stochastic orders. Chapter 3 is devoted to "Classical Maintenance Models," under which the so-called age, block and other replacement models are surveyed. Chapter 4 discusses "Modeling Plant Maintenance," describing how maintenance practice can be carried out for plant maintenance.

Author : Anbazhagan, Neelamegam
Publisher : IGI Global
Page : 338 pages
File Size : 44,6 Mb
Release : 2016-03-24
Category : Business & Economics
ISBN : 9781522500452

Get Book

Stochastic Processes and Models in Operations Research by Anbazhagan, Neelamegam Pdf

Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.

Author : Shunji Osaki,D N Pra Murthy
Publisher : World Scientific
Page : 628 pages
File Size : 54,7 Mb
Release : 1993-04-27
Category : Electronic
ISBN : 9789814552875

Get Book

Stochastic Models In Engineering, Technology And Management - Proceedings Of The Australia-japan Workshop by Shunji Osaki,D N Pra Murthy Pdf

The proceedings contain a range of papers dealing with different issues relating to the theme of the workshop. The majority of them deal with model formulation and model analysis. A few deal with mathematical techniques that are needed to carry out model analysis. Some of the papers are theoretical whilst others are applied. As a result, the topics covered in these papers highlight the multifaceted nature of stochastic modelling and diversity of the applications of stochastic models.

Author : Andreas Diekmann,Peter Mitter
Publisher : Academic Press
Page : 352 pages
File Size : 42,8 Mb
Release : 2014-05-10
Category : Social Science
ISBN : 9781483266565

Get Book

Stochastic Modelling of Social Processes by Andreas Diekmann,Peter Mitter Pdf

Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences. This book demonstrates that stochastic models can fulfill the goals of explanation and prediction. Organized into nine chapters, this book begins with an overview of stochastic models that fulfill normative, predictive, and structural–analytic roles with the aid of the theory of probability. This text then examines the study of labor market structures using analysis of job and career mobility, which is one of the approaches taken by sociologists in research on the labor market. Other chapters consider the characteristic trends and patterns from data on divorces. This book discusses as well the two approaches of stochastic modeling of social processes, namely competing risk models and semi-Markov processes. The final chapter deals with the practical application of regression models of survival data. This book is a valuable resource for social scientists and statisticians.

Author : Howard M. Taylor,Samuel Karlin
Publisher : Unknown
Page : 71 pages
File Size : 40,8 Mb
Release : 1998
Category : Electronic
ISBN : 0126848882

Get Book

Solutions to Problems in An Introduction to Stochastic Modeling by Howard M. Taylor,Samuel Karlin Pdf

Author : Hossein Bonakdari,Mohammad Zeynoddin
Publisher : Elsevier
Page : 372 pages
File Size : 52,8 Mb
Release : 2022-04-13
Category : Business & Economics
ISBN : 9780323972758

Get Book

Stochastic Modeling by Hossein Bonakdari,Mohammad Zeynoddin Pdf

Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new avenues in time series analysis and predictive modeling which summarize more than ten years of experience in the application of stochastic models in environmental problems. The book introduces a variety of different topics in time series in the modeling and prediction of complex environmental systems. Most importantly, all codes are user-friendly and readers will be able to use them for their cases. Users who may not be familiar with MATLAB software can also refer to the appendix. This book also guides the reader step-by-step to learn developed codes for time series modeling, provides required toolboxes, explains concepts, and applies different tools for different types of environmental time series problems. Provides video tutorials on the use of codes Includes a companion site with 3,000 lines of programming, 70 principal codes and 100 pseudo codes Highlights multiple methods to Illustrate each problem

Author : Paola Lecca,Ian Laurenzi,Ferenc Jordan
Publisher : Elsevier
Page : 411 pages
File Size : 48,7 Mb
Release : 2013-04-09
Category : Mathematics
ISBN : 9781908818218

Get Book

Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology by Paola Lecca,Ian Laurenzi,Ferenc Jordan Pdf

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics. Introduces mathematical concepts and formalisms of deterministic and stochastic modelling through clear and simple examples Presents recently developed discrete stochastic formalisms for modelling biological systems and processes Describes and applies stochastic simulation algorithms to implement a stochastic formulation of biochemical and biological kinetics

Author : John A. Buzacott,J. George Shanthikumar
Publisher : Englewood Cliffs, N.J. : Prentice Hall
Page : 586 pages
File Size : 51,5 Mb
Release : 1993
Category : Business & Economics
ISBN : UOM:39015047294023

Get Book

Stochastic Models of Manufacturing Systems by John A. Buzacott,J. George Shanthikumar Pdf

Outlining the major issues that have to be addressed in the design and operation of each type of system, this new text explores the stochastic models of a wide range of manufacturing systems. It covers flow lines, job shops, transfer lines, flexible manufacturing systems, flexible assembly systems, cellular systems, and more. For professionals working in the area of manufacturing system modelling.

Author : Kazimierz Sobczyk,David J. Kirkner
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 52,5 Mb
Release : 2001-09-21
Category : Computers
ISBN : 0817642331

Get Book

Stochastic Modeling of Microstructures by Kazimierz Sobczyk,David J. Kirkner Pdf

This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling of microstructures. It is a reference for professionals in material modeling, mechanical engineering, materials science, chemical, civil, environmental engineering and applied mathematics.

Author : J. George Shanthikumar,David D. Yao,W.H.M. Zijm
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461503736

Get Book

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains by J. George Shanthikumar,David D. Yao,W.H.M. Zijm Pdf

This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.

Author : Paolo Ballarini,Hind Castel,Ioannis Dimitriou,Mauro Iacono,Tuan Phung-Duc,Joris Walraevens
Publisher : Springer Nature
Page : 499 pages
File Size : 44,7 Mb
Release : 2021-11-26
Category : Computers
ISBN : 9783030918255

Get Book

Performance Engineering and Stochastic Modeling by Paolo Ballarini,Hind Castel,Ioannis Dimitriou,Mauro Iacono,Tuan Phung-Duc,Joris Walraevens Pdf

This book constitutes the refereed proceedings of the 17th European Workshop on Computer Performance Engineering, EPEW 2021, and the 26th International Conference, on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021, held in December 2021. The conference was held virtually due to COVID 19 pandemic. The 29 papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers presented at the workshop reflect the diversity of modern performance evaluation, with topics ranging from modeling and analysis of network/control protocols and high performance/big data information systems, analysis of scheduling, blockchain technology, analytical modeling and simulation of computer and network systems.

Author : Oliver Ibe
Publisher : Newnes
Page : 515 pages
File Size : 46,6 Mb
Release : 2013-05-22
Category : Mathematics
ISBN : 9780124078390

Get Book

Markov Processes for Stochastic Modeling by Oliver Ibe Pdf

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader. Presents both the theory and applications of the different aspects of Markov processes Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.

Author : P.A. Pilavachi
Publisher : Springer Science & Business Media
Page : 1266 pages
File Size : 49,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401114547

Get Book

Energy Efficiency in Process Technology by P.A. Pilavachi Pdf

Since 1975 the Commission has been stimulating R & D work aimed at energy saving. The conference objective was to provide an international forum for the presentation and discussion of recent R & D relevant to energy efficiency, taking into account environmental aspects, in the energy intensive process industries.