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Stochastic Modelling in Process Technology

Stochastic Modelling in Process Technology
A Book

by Herold G. Dehling,Timo Gottschalk,Alex C. Hoffmann

  • Publisher : Elsevier
  • Release : 2007-07-03
  • Pages : 290
  • ISBN : 9780080548975
  • Language : En, Es, Fr & De
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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

Stochastic Models of Manufacturing Systems

Stochastic Models of Manufacturing Systems
A Book

by John A. Buzacott,J. George Shanthikumar

  • Publisher : Pearson College Division
  • Release : 1993
  • Pages : 553
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Develops stochastic models to evaluate the performance, design, control, and operation of manufacturing systems, and discusses workload allocation and assembly systems

Stochastic Models in Reliability and Maintenance

Stochastic Models in Reliability and Maintenance
A Book

by Shunji Osaki

  • Publisher : Springer Science & Business Media
  • Release : 2012-11-02
  • Pages : 338
  • ISBN : 3540248080
  • Language : En, Es, Fr & De
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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.

Stochastic Models In Engineering, Technology And Management - Proceedings Of The Australia-japan Workshop

Stochastic Models In Engineering, Technology And Management - Proceedings Of The Australia-japan Workshop
A Book

by Osaki Shunji,Murthy D N Pra

  • Publisher : World Scientific
  • Release : 1993-04-27
  • Pages : 628
  • ISBN : 9814552879
  • Language : En, Es, Fr & De
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Chinese Remainder Theorem, CRT, is one of the jewels of mathematics. It is a perfect combination of beauty and utility or, in the words of Horace, omne tulit punctum qui miscuit utile dulci. Known already for ages, CRT continues to present itself in new contexts and open vistas for new types of applications. So far, its usefulness has been obvious within the realm of “three C's”. Computing was its original field of application, and continues to be important as regards various aspects of algorithmics and modular computations. Theory of codes and cryptography are two more recent fields of application.This book tells about CRT, its background and philosophy, history, generalizations and, most importantly, its applications. The book is self-contained. This means that no factual knowledge is assumed on the part of the reader. We even provide brief tutorials on relevant subjects, algebra and information theory. However, some mathematical maturity is surely a prerequisite, as our presentation is at an advanced undergraduate or beginning graduate level. We have tried to make the exposition innovative, many of the individual results being new. We will return to this matter, as well as to the interdependence of the various parts of the book, at the end of the Introduction.A special course about CRT can be based on the book. The individual chapters are largely independent and, consequently, the book can be used as supplementary material for courses in algorithmics, coding theory, cryptography or theory of computing. Of course, the book is also a reference for matters dealing with CRT.

Stochastic Modelling for Systems Biology, Third Edition

Stochastic Modelling for Systems Biology, Third Edition
A Book

by Darren J. Wilkinson

  • Publisher : CRC Press
  • Release : 2018-12-07
  • Pages : 384
  • ISBN : 135100090X
  • Language : En, Es, Fr & De
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Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling
A Book

by Howard M. Taylor,Samuel Karlin

  • Publisher : Gulf Professional Publishing
  • Release : 1998-02-20
  • Pages : 631
  • ISBN : 9780126848878
  • Language : En, Es, Fr & De
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Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, Third Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems. Realistic applications from a variety of disciplines integrated throughout the text Plentiful, updated and more rigorous problems, including computer "challenges" Revised end-of-chapter exercises sets-in all, 250 exercises with answers New chapter on Brownian motion and related processes Additional sections on Matingales and Poisson process

A First Course in Stochastic Models

A First Course in Stochastic Models
A Book

by Henk C. Tijms

  • Publisher : John Wiley & Sons
  • Release : 2003-04-18
  • Pages : 488
  • ISBN : 9780471498803
  • Language : En, Es, Fr & De
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The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications. Incorporates recent developments in computational probability. Includes a wide range of examples that illustrate the models and make the methods of solution clear. Features an abundance of motivating exercises that help the student learn how to apply the theory. Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications.

Proceedings of the Australia-Japan Workshop on Stochastic Models in Engineering, Technology and Management

Proceedings of the Australia-Japan Workshop on Stochastic Models in Engineering, Technology and Management
Gold Coast, Australia, 14-16 July 1993

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1993
  • Pages : 612
  • ISBN : 9789814535588
  • Language : En, Es, Fr & De
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Energy Efficiency in Process Technology

Energy Efficiency in Process Technology
A Book

by P.A. Pilavachi

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 1280
  • ISBN : 9401114544
  • Language : En, Es, Fr & De
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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.

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains
A Book

by J. George Shanthikumar,David D. Yao,W.H.M. Zijm

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 411
  • ISBN : 1461503736
  • Language : En, Es, Fr & De
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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.

An Introduction to Continuous-Time Stochastic Processes

An Introduction to Continuous-Time Stochastic Processes
Theory, Models, and Applications to Finance, Biology, and Medicine

by Vincenzo Capasso,David Bakstein

  • Publisher : Springer Science & Business Media
  • Release : 2012-07-27
  • Pages : 434
  • ISBN : 0817683461
  • Language : En, Es, Fr & De
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Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required.

Stochastic Modelling in Innovative Manufacturing

Stochastic Modelling in Innovative Manufacturing
Proceedings, Cambridge, U.K., July 21–22, 1995

by Anthony H. Christer,Shunji Osaki,Lyn C. Thomas

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 361
  • ISBN : 3642591051
  • Language : En, Es, Fr & De
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This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems.

Advances in Stochastic Modelling and Data Analysis

Advances in Stochastic Modelling and Data Analysis
A Book

by Jacques Janssen,Christos H. Skiadas,Constantin Zopounidis

  • Publisher : Springer Science & Business Media
  • Release : 2013-04-17
  • Pages : 428
  • ISBN : 9401706638
  • Language : En, Es, Fr & De
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Advances in Stochastic Modelling and Data Analysis presents the most recent developments in the field, together with their applications, mainly in the areas of insurance, finance, forecasting and marketing. In addition, the possible interactions between data analysis, artificial intelligence, decision support systems and multicriteria analysis are examined by top researchers. Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.

Cyber-Physical Systems: Advances in Design & Modelling

Cyber-Physical Systems: Advances in Design & Modelling
A Book

by Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Shcherbakov

  • Publisher : Springer Nature
  • Release : 2019-11-25
  • Pages : 347
  • ISBN : 3030325792
  • Language : En, Es, Fr & De
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This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master’s students interested in the research and applications of cyber-physical systems in different domains.

Software Process Technology

Software Process Technology
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1995
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling
A Book

by Oliver Ibe

  • Publisher : Newnes
  • Release : 2013-05-22
  • Pages : 514
  • ISBN : 0124078397
  • Language : En, Es, Fr & De
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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.

Stochastic Modeling of Manufacturing Systems

Stochastic Modeling of Manufacturing Systems
Advances in Design, Performance Evaluation, and Control Issues

by George Liberopoulos,Chrissoleon T. Papadopoulos,Barış Tan,James MacGregor Smith,Stanley B. Gershwin

  • Publisher : Springer Science & Business Media
  • Release : 2005-12-12
  • Pages : 363
  • ISBN : 3540290575
  • Language : En, Es, Fr & De
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Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.

Stable Non-Gaussian Random Processes

Stable Non-Gaussian Random Processes
Stochastic Models with Infinite Variance

by Gennady Samorodnitsky,M.S. Taqqu

  • Publisher : CRC Press
  • Release : 1994-06-01
  • Pages : 632
  • ISBN : 9780412051715
  • Language : En, Es, Fr & De
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Both an introduction and a basic reference text on non-Gaussian stable models, for graduate students and practitioners. Assuming only a first-year graduate course in probability, it includes material which has only recently appeared in journals and unpublished materials. Each chapter begins with a brief overview and concludes with a range of exercises at varying levels of difficulty. Proofs are spelled out in detail. The volume includes a discussion of self-similar processes, ARMA, and fractional ARIMA time series with stable innovations. Annotation copyright by Book News, Inc., Portland, OR

Software Process Technology

Software Process Technology
4th European Workshop, EWSPT '95, Noordwijkerhout, The Netherlands, April 3 - 5, 1995. Proceedings

by Wilhelm Schäfer

  • Publisher : Springer-Verlag New York Incorporated
  • Release : 1995-03-22
  • Pages : 259
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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This volume presents the proceedings of the Fourth European Workshop on Software Process Technology, EWSPT '95, held in Noordwijkerhout, The Netherlands in April 1995. The book contains 28 revised full research papers selected from a total of 50 submissions; in addition, the session chairpersons contributed 7 short surveys on the topics treated. Among the issues addressed are analysis and metrics, application experiments, language experiments, models for distributions, mechanisms for cooperation, and change and meta-processes. This book documents that software process technology has become a key technology to cope with the challenges of team-oriented production of large and high-quality software systems.

Recent Advances In Stochastic Modeling And Data Analysis

Recent Advances In Stochastic Modeling And Data Analysis
A Book

by Christos H Skiadas

  • Publisher : World Scientific
  • Release : 2007-11-16
  • Pages : 668
  • ISBN : 9814474479
  • Language : En, Es, Fr & De
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This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics.