Stochastic Modelling in Process Technology

• Author : Herold G. Dehling,Timo Gottschalk,Alex C. Hoffmann
• Publisher : Elsevier
• Release : 03 July 2007

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

• Author : P.A. Pilavachi
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

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.

• Author : Anthony H. Christer,Shunji Osaki,Lyn C. Thomas
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

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

• Author : Shunji Osaki
• Publisher : Springer Science & Business Media
• Release : 02 November 2012

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

• Author : George Liberopoulos,Chrissoleon T. Papadopoulos,Barış Tan,James MacGregor Smith,Stanley B. Gershwin
• Publisher : Springer Science & Business Media
• Release : 12 December 2005

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

• Author : Anonim
• Publisher : Unknown
• Release : 07 June 1995

• Author : Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Shcherbakov
• Publisher : Springer Nature
• Release : 25 November 2019

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

• Author : Wilhelm Schäfer
• Publisher : Lecture Notes in Computer Science
• Release : 22 March 1995

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

• Author : Igor Ilin,Carlos Jahn,Andrea Tick
• Publisher : Springer Nature
• Release : 25 January 2023

This book is a collection of best selected research papers from the “Digital Technologies in Logistics and Infrastructure” conference (ICDT-2021). The topics of the presented papers are related to various aspects, problems, and solutions in maritime, transport, warehouse logistics, digital transformation, and information technologies in logistics, as well as digital transformation of infrastructure industries from theoretical and practical points of view. The authors of the conference are representatives of major companies, researchers, and scientists from Russia, Hungary, Armenia, Kazakhstan, Thailand,

• Author : Christos H Skiadas
• Publisher : World Scientific
• Release : 16 November 2007

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

• Author : Jose Rolim
• Publisher : Springer Science & Business Media
• Release : 19 April 2000

This volume contains the proceedings from the workshops held in conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000, on 1-5 May 2000 in Cancun, Mexico. The workshopsprovidea forum for bringing together researchers,practiti- ers, and designers from various backgrounds to discuss the state of the art in parallelism.Theyfocusondi erentaspectsofparallelism,fromruntimesystems to formal methods, from optics to irregular problems, from biology to networks of personal computers, from embedded systems to programming environments; the following workshops are represented in

• Author : Vincenzo Capasso,David Bakstein
• Publisher : Springer Science & Business Media
• Release : 03 January 2008

This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. Balancing theory and applications, the authors use stochastic methods and concrete examples to model real-world problems from engineering, biomathematics, biotechnology, and finance. Suitable as a textbook for graduate or advanced undergraduate courses, the work may also be used for self-study or as a reference. The book will be of interest to students, pure and applied mathematicians, and researchers or practitioners in mathematical finance,

• Author : Nallan C. Suresh,John M. Kay
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

Group Technology and Cellular Manufacturing (GT/CM) have been widely-researched areas in the past 15 years and much progress has been made in all branches of GT/CM. Resulting from this research activity has been a proliferation of techniques for part-machine grouping, engineering data bases, expert system-based design methods for identifying part families, new analytical and simulation tools for evaluating performance of cells, new types of cell incorporating robotics and flexible automation, team-based approaches for organizing the work force and much

• Author : Shan Ling Li
• Publisher : Routledge
• Release : 27 July 2018

Originally published in 1994 this book examines problems related to investment planning, capacity additions, and choice of technology in dynamic manufacturing systems characterized by multiple products, dynamic demand growth, uncertainty in demand and availability of alternative technologies. A model-based methodology is developed that focuses on trade-offs between flexible and conventional technology. The research conducted for this book is directed to the development of tools to support investment decisions in production capacity over medium and long-term planning horizons.

• Author : Anatoli Torokhti,Phil Howlett
• Publisher : Elsevier
• Release : 11 April 2007

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods