Stochastic Modelling in Process Technology Book

Stochastic Modelling in Process Technology


  • Author : Herold G. Dehling
  • Publisher : Elsevier
  • Release Date : 2007-07-03
  • Genre: Mathematics
  • Pages : 290
  • ISBN 10 : 0080548970

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Stochastic Modelling in Process Technology Excerpt :

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 techn

Stochastic Modeling of Microstructures Book

Stochastic Modeling of Microstructures


  • Author : Kazimierz Sobczyk
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Mathematics
  • Pages : 270
  • ISBN 10 : 9781461201212

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Stochastic Modeling of Microstructures Excerpt :

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.

Stochastic Processes and Models in Operations Research Book

Stochastic Processes and Models in Operations Research


  • Author : Anbazhagan, Neelamegam
  • Publisher : IGI Global
  • Release Date : 2016-03-24
  • Genre: Business & Economics
  • Pages : 338
  • ISBN 10 : 9781522500452

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Stochastic Processes and Models in Operations Research Excerpt :

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.

Stochastic Modelling in Innovative Manufacturing Book

Stochastic Modelling in Innovative Manufacturing


  • Author : Anthony H. Christer
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Technology & Engineering
  • Pages : 361
  • ISBN 10 : 9783642591051

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Stochastic Modelling in Innovative Manufacturing Excerpt :

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.

Energy Efficiency in Process Technology Book

Energy Efficiency in Process Technology


  • Author : P.A. Pilavachi
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Science
  • Pages : 1280
  • ISBN 10 : 9789401114547

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Energy Efficiency in Process Technology Excerpt :

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.

Advances in Stochastic Modelling and Data Analysis Book

Advances in Stochastic Modelling and Data Analysis


  • Author : Jacques Janssen
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-04-17
  • Genre: Mathematics
  • Pages : 428
  • ISBN 10 : 9789401706636

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Advances in Stochastic Modelling and Data Analysis Excerpt :

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.

NBS Special Publication Book

NBS Special Publication


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1970
  • Genre: Weights and measures
  • Pages : null
  • ISBN 10 : UOM:39015023124111

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NBS Special Publication Excerpt :

Stochastic Modeling of Manufacturing Systems Book

Stochastic Modeling of Manufacturing Systems


  • Author : George Liberopoulos
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-12-12
  • Genre: Business & Economics
  • Pages : 363
  • ISBN 10 : 9783540290575

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Stochastic Modeling of Manufacturing Systems Excerpt :

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.

Stochastic Models in Reliability and Maintenance Book

Stochastic Models in Reliability and Maintenance


  • Author : Shunji Osaki
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-11-02
  • Genre: Mathematics
  • Pages : 338
  • ISBN 10 : 9783540248088

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Stochastic Models in Reliability and Maintenance Excerpt :

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.

Cyber Physical Systems  Advances in Design   Modelling Book

Cyber Physical Systems Advances in Design Modelling


  • Author : Alla G. Kravets
  • Publisher : Springer Nature
  • Release Date : 2019-11-25
  • Genre: Technology & Engineering
  • Pages : 347
  • ISBN 10 : 9783030325794

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Cyber Physical Systems Advances in Design Modelling Excerpt :

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.

Stochastic Models in Reliability Engineering Book

Stochastic Models in Reliability Engineering


  • Author : Lirong Cui
  • Publisher : CRC Press
  • Release Date : 2020-09-01
  • Genre: Mathematics
  • Pages : 464
  • ISBN 10 : 9781000094619

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Stochastic Models in Reliability Engineering Excerpt :

This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, and dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, and experiments and applied probability and statistics.

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

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


  • Author : Osaki Shunji
  • Publisher : World Scientific
  • Release Date : 1993-04-27
  • Genre: Uncategoriezed
  • Pages : 628
  • ISBN 10 : 9789814552875

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Stochastic Models In Engineering Technology And Management Proceedings Of The Australia japan Workshop Excerpt :

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.

An Introduction to Stochastic Modeling Book

An Introduction to Stochastic Modeling


  • Author : Howard M. Taylor
  • Publisher : Academic Press
  • Release Date : 2014-05-10
  • Genre: Mathematics
  • Pages : 410
  • ISBN 10 : 9781483269276

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An Introduction to Stochastic Modeling Excerpt :

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.

Recent Advances In Stochastic Modeling And Data Analysis Book

Recent Advances In Stochastic Modeling And Data Analysis


  • Author : Christos H Skiadas
  • Publisher : World Scientific
  • Release Date : 2007-11-16
  • Genre: Mathematics
  • Pages : 668
  • ISBN 10 : 9789814474474

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Recent Advances In Stochastic Modeling And Data Analysis Excerpt :

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.