Stochastic Analysis in Production Process and Ecology Under Uncertainty
The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random var
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Bogusław Bieda
Stochastic Analysis in Production Process and Ecology Under Uncertainty
Bogusław Bieda AGH University of Science and Technology Faculty of Management Al. Mickiewicza 30 30–059 Krako´w Poland
ISBN 978-3-642-28055-9 ISBN 978-3-642-28056-6 (eBook) DOI 10.1007/978-3-642-28056-6 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012938447 # Springer-Verlag Berlin Heidelberg 2012 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Summary
The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter 2 deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time of contaminants modelling, using MC simulation, has been worked out as well. The third chapter describes the risk analysis of the waste to energy facility proposal for the city of Konin, including its financial aspects. Environmental impact assessment of the Mittal Steel Poland (MSP) S.A. Power Plant, in Krako´w is given in the fourth chapter. Thus, four scenarios of the energy mix
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