...THIRD EDITI ----- --·-- --·-- - - -- - O N -- SU PP LY CH AI N MA NA GE ME NT Stra tegy , Plan ning , and Ope ratio n Sunil Chopra Kellogg Schoo l of Manag ement Northwestern University Peter Meindl Stanfo rd University --------Prentice I-I all Uppe r Saddl e River , New Jersey ·--· PEAR SON -- · - · - - - "ibrary of Congress Cataloging-in-Publication Data :::hopra, Sunil Supply chain management: strategy, planning, and operation I Sunil Chopra, >eter Meind!.-3rd ed. p. em. Includes bibliographical references and index. ISBN: 0-13-208608-5 1. Marketing channels-Managemen t. 2. Delivery of goods-Management. i. Physical distribution of goods-Management. 4. Customer servicesvfanagement. 5. Industrial procurement. 6. Materials management. I. vfeindl, Peter II. Title. HF5415.13.C533 2007 658.7-dc22 2006004948 \VP/Executive Editor: Mark Pfaltzgraff ii:ditorial Director: Jeff Shelstad ;enior Project Manager: Alana Bradley E:ditorial Assistant: Barbara Witmer Vledia Product Development Manager: Nancy Welcher \VP/Executive Marketing Manager: Debbie Clare Vlarketing Assistant: Joanna Sabella ;enior Managing Editor (Production): Cynthia Regan flroduction Editor: Melissa Feimer flermissions Supervisor: Charles Morris Vlanufacturing Buyer: Michelle Klein Vlanager, Print Production: Christy Mahon Composition/Full-Service Project Management: Karen Ettinger, TechBooks, Inc. flrinter/Binder: Hamilton Printing Company Inc. fypeface: 10/12 Times Ten Roman :::redits...
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...THIRD EDITI ----- --·-- --·-- - - -- - O N -- SU PP LY CH AI N MA NA GE ME NT Stra tegy , Plan ning , and Ope ratio n Sunil Chopra Kellogg Schoo l of Manag ement Northwestern University Peter Meindl Stanfo rd University PEAR SON --------Prentice I-I all Uppe r Saddl e River , New Jersey ·--· -- · - · - - - "ibrary of Congress Cataloging-in-Publication Data :::hopra, Sunil Supply chain management: strategy, planning, and operation I Sunil Chopra, >eter Meind!.-3rd ed. p. em. Includes bibliographical references and index. ISBN: 0-13-208608-5 1. Marketing channels-Managemen t. 2. Delivery of goods-Management. i. Physical distribution of goods-Management. 4. Customer servicesvfanagement. 5. Industrial procurement. 6. Materials management. I. vfeindl, Peter II. Title. HF5415.13.C533 2007 658.7-dc22 2006004948 \VP/Executive Editor: Mark Pfaltzgraff ii:ditorial Director: Jeff Shelstad ;enior Project Manager: Alana Bradley E:ditorial Assistant: Barbara Witmer Vledia Product Development Manager: Nancy Welcher \VP/Executive Marketing Manager: Debbie Clare Vlarketing Assistant: Joanna Sabella ;enior Managing Editor (Production): Cynthia Regan flroduction Editor: Melissa Feimer flermissions Supervisor: Charles Morris Vlanufacturing Buyer: Michelle Klein Vlanager, Print Production: Christy Mahon Composition/Full-Service Project Management: Karen Ettinger, TechBooks, Inc. flrinter/Binder: Hamilton Printing Company Inc. fypeface:...
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...INT1Task 3 An Investigation of Averaged Radiation and the Properties of CO2 Abstract The methodology used when calculating the effective temperature of rotating planetary bodies treats the average input over an entire rotation as a valid approximation of the overall energy received. The resulting temperature calculations are assumed to be accurate enough to be used as working inputs for climatological models or the theories they are derived from. Research and examination of radiation laws raises doubts about the viability of such averaged inputs, and this reasoning is used to inform and test a hypothesis. Background The purpose of this paper is not to go into a full derivation of the physics behind the absorption and emission of electromagnetic radiation. Planck, Stefan, Boltzmann, Einstein, and Wien were all better suited to such an examination, and the experimental apparatus needed to plumb the realms of quantum physics further is not easily acquired. The work of Stefan and Boltzmann is accepted herein as a valid description of the ideal case where emissivity is equal to unity, also known as a black body. The discovery in 1905 by Einstein[1] that emission spectra are quantized is not his most famous finding, of course, however it is the one for which he received a Nobel Prize. While his work with other scientists in Brussels is not as well known, one of his fellow Nobel Laureates Max Planck initially rejected, but was later convinced by Einstein who had expanded...
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...QUALIFICATION HANDBOOK Level 5 Diploma in Leadership for Health and Social Care and Children and Young People’s Services (England) (3978-51/52/53/54/55/56) December 2011 Version 3.1 (February 2012) Qualification at a glance Subject area City & Guilds number Age group approved Entry requirements Assessment Fast track Level 5 Diploma in Leadership for Health and Social Care and Children and Young People’s Services (England) 3978 19+ There are no entry requirements Portfolio of Evidence, Practical Demonstration/Assignment. Automatic approval is available for centres offering the 3172 Level 4 NVQ in Health and Social Care – Adults 100/4794/3 and the 3078 Level 4 NVQ in Leadership and Management for Care Services 500/4105/8 Learner logbook and Smartscreen Consult the Walled Garden/Online Catalogue for last dates City & Guilds number 3978-51 Accreditation number 600/0573/7 Support materials Registration and certification Title and level Level 5 Diploma in Leadership for Health and Social Care and Children and Young People’s Services (Children and Young People’s Residential Management) Level 5 Diploma in Leadership for Health and Social Care and Children and Young People’s Services (Children and Young People’s Management) Level 5 Diploma in Leadership for Health and Social Care and Children and Young People’s Services (Children and Young People’s Advanced Practice) Level 5 Diploma in Leadership for Health and Social Care and Children and Young People’s Services (Adults’...
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...IMPORTANT VOTER INFORMATION VOTER REGISTRATION • WHEN TO RE-REGISTER: If you have moved since you last registered to vote, wish to change your party registration, or have changed your name, you need to re-register as soon as possible. You must register by October 22, 2012 to be able to vote in the November 6, 2012 Presidential General Election. WHERE TO OBTAIN A VOTER REGISTRATION FORM: Anyone who is eligible to register to vote in California can use the new California Online Voter Registration system. You can find the online process at the Registrar of Voters website at www.sdvote.com. Click on Register to Vote and follow the instructions. Voter registration cards are also available and can be found at Post Offices, Department of Motor Vehicles offices, Library buildings, various City Clerk offices, and the Registrar of Voters office. NOTE: You can check the status of your registration by visiting www.sdvote.com. Follow the prompts to verify your voter registration. VOTE BY MAIL BALLOT • • PERMANENT VOTE BY MAIL VOTER: If you are currently a vote by mail voter, you will automatically receive your mail ballot. To confirm your voting status and see your polling location, review the colored mailing label on the back cover of this pamphlet. If the label indicates you are a permanent mail ballot voter, please do not reapply --- we begin mailing the vote by mail ballots on October 9, 2012. If you do not receive th your ballot by October 18 , please call the Registrar...
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...Strategies for Tuberculosis Control from Experiences in Manila: The Role of Public-Private Collaboration and of Intermittent Therapy INAUGURALDISSERTATION zur Erlangung der Würde eines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Fakultät der Universität Basel von Christian Auer aus Bottmingen (BL) Basel, Mai 2003 Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakultät der Universität Basel auf Antrag von Herrn Prof. Dr. Marcel Tanner und Herrn Professor Dr. Klaus M. Leisinger Basel, den 6. Mai 2003 Prof. Dr. Marcel Tanner Dekan DEDICATION In memory of Aling Tess and Mang Tony, former neighbours of mine, victims of tuberculosis, the unrestrained killer that terminates daily the lives of 5000 people. With the sincere hope and plea that some findings and thoughts of this dissertation will contribute to reducing tuberculosis and poverty. “The appalling global burden of tuberculosis at the turn of the millennium, despite the availability of effective control measures, is a blot on the conscience of humankind. For developing countries, the situation has become desperate and the "cursed duet" of tuberculosis and AIDS is having a devastating impact on large sections of the global community. The vital question is, can despair be turned to hope early in the next millennium?” John Grange and Almuddin Zumla, 1999 TABLE OF CONTENTS Acknowledgements Summary Zusammenfassung Abbreviations i iii vii...
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...analysis – Variance analysis Research Techniques II 2 Multivariant analysis techniques DESCRIPTIVE TECHNIQUES Factor Analysis Correspondence Factor analysis Cluster Analysis Output Association / Reducing dimensions Typology EXPLANATORY TECHNIQUES Varian Analysis Regression Analysis Discriminant Analysis CHAID AID Conjoint Analysis Multidimensional Analysis Research Techniques II Output Experiment results Prediction / Classification Segmentation Ideal Product Image / Positioning 3 VARIANCE ANALYSIS ONE FACTOR A random design is that where random simples are selected for each treatment. Yij = µi + εij where Yij: it is the answer of observation j who has received the treatment i µi: it is the mean of the treatment i, and εij: it is a specific random part for each observation Hypotheses: H0 : µ1 = µ2 = . . . = µp Ha: At least two treatments have different means. Assumptions: 1. The probability distributions of the p populations follow a normal distribution. 2. The variances of the p populations are equal. 3. Samples are selected randomly and independently from the populations. This model could be also expressed as the following: Yij = µ + τi + εij Where µ: it is the general mean, and τi: it is the differential effect of the treatment i. H 0 : τ 1 = τ2 = . . . = τp Ha: At least two treatments have differential effect. The difference between one observation and the general mean is divided into an explained part (distance between the mean of the treatment and the general mean) and a...
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...Finance International) Owned by 25 managing partners 2 Examples of innovations at Helbling Extract out of some thousand innovation projects in more than 50 countries Innovation leaders collaborating with Helbling: Nestlé, Roche, ABB, Airbus, Siemens, Medtronic, Schindler, Pfizer, Novartis, Sonova, Google, BSH, Geberit, Sika, V-Zug, Source: Helbling Qiagen, Tecan and many others 3 Strategic innovation management – selected Helbling references Companies Why Helbling? We measure ourselves - e.g. on the increase of the value of your innovation pipeline We are senior experts with over 15 years consulting experience and a focus on the topics "Increasing innovation success and increasing the power of innovation» We use self-developed tools and instruments We practice entrepreneurial thinking We have the "up to date" knowledge and high level of expertise through research, teaching and project management - We write books Source: Helbling 4 How to foster innovation in your business 1. What is innovation? 2. Innovation champions 3. Innovation as success factor 4. R&D and economic prosperity 5. Concept to foster...
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...reduction. The analysis considers long run steady state economic implications of adjusting the current mix of inventory investments and transportation expenses. The scope of the analysis is focused on a case study of Department of Defense (DoD) parts inventories within the US. The inventory scope is limited to high cost low priority, non-mission critical, replenishment parts (engines, electronics, assemblies and components, etc.). The study uses baseline data collected over 9 months from over 200 inventory sites on thousands of parts. Pipeline reductions are achieved by replacing the current 6 day transit time with a conservative 3 day commercial carrier (e.g., UPS, DHL, Emory Air, etc.). Warehouses in the case study automatically lower inventory levels in response to lowered transit times to prevent inventory buildup. These lower inventory levels will generate reductions in inventory investment and associated holding costs. The reductions in...
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...QualNet 5.0.2 User’s Guide March 2010 Scalable Network Technologies, Inc. 6100 Center Drive, Suite 1250 Los Angeles, CA 90045 Phone: 310-338-3318 Fax: 310-338-7213 http://www.scalable-networks.com http://www.qualnet.com Copyright Information © 2010 Scalable Network Technologies, Inc. All rights reserved. QualNet is a registered trademark of Scalable Network Technologies, Inc. All other trademarks and trade names used are property of their respective companies. Scalable Network Technologies, Inc. 6100 Center Drive, Suite 1250 Los Angeles, CA 90045 Phone: 310-338-3318 Fax: 310-338-7213 http://www.scalable-networks.com http://www.qualnet.com ii QualNet 5.0.2 User’s Guide Table of Contents Preface................................................................................. xiii Chapter 1 Introduction to QualNet .......................................................... 1 1.1 Overview .................................................................................................................. 1 1.2 QualNet Architecture .............................................................................................. 2 1.3 Scenario-based Network Simulation..................................................................... 4 1.3.1 General Approach .............................................................................................. 4 1.3.2 Creating Scenarios............................................................................................. 4 1.3.3 Files...
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...Forthcoming in: Ursula M. Staudinger and Ulman Lindenberger (eds.), Understanding Human Development: Lifespan Psychology in Exchange with Other Disciplines. Dordrecht: Kluwer Academic Publishers. 1 Karl Ulrich Mayer, 2002 The sociology of the life course and life span psychology - diverging or converging pathways? 1. Introduction In the last twenty to thirty years both life span psychology and the sociology of the life course have experienced a great and long take off with regard to theory building and conceptualization, methodological advances and empirical studies. Within sociology, but also partly in demography, economics and social policy studies, a cohort and life course perspective, event history analysis and microanalytic longitudinal data have become almost predominant (Mayer 1990, 2000; Riley et al. 1994). Baltes et al. (1999: 473) note, for instance, that life span psychology became more prominent due to, among other reasons, “... a concern with life span development in neighboring social science disciplines, especially sociology. Life course sociology took hold as a powerful intellectual force.” At the beginning of this development there were great expectations that the disciplines involved in this “life course turn” - especially life course sociology and life span psychology - would not only grow together in a parallel trajectory, but that there would be co-evolution in the direction of a truly interdisciplinary or even transdisciplinary paradigm...
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...Vijay V. Vazirani College of Computing Georgia Institute of Technology Copyright c 2001 Approximation Algorithms Springer Berlin Heidelberg NewYork Barcelona Hong Kong London Milan Paris Singapore Tokyo To my parents Preface Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872–1970) Most natural optimization problems, including those arising in important application areas, are NP-hard. Therefore, under the widely believed conjecture that P = NP, their exact solution is prohibitively time consuming. Charting the landscape of approximability of these problems, via polynomial time algorithms, therefore becomes a compelling subject of scientific inquiry in computer science and mathematics. This book presents the theory of approximation algorithms as it stands today. It is reasonable to expect the picture to change with time. The book is divided into three parts. In Part I we cover a combinatorial algorithms for a number of important problems, using a wide variety of algorithm design techniques. The latter may give Part I a non-cohesive appearance. However, this is to be expected – nature is very rich, and we cannot expect a few tricks to help solve the diverse collection of NP-hard problems. Indeed, in this part, we have purposely refrained from tightly categorizing algorithmic techniques so as not to trivialize matters. Instead, we have attempted to capture, as accurately as possible, the individual character...
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...Willy-Brandt-Platz 5 68161 Mannheim Germany christoph.kilger@jnm.de Cataloging-in-Publication Data Library of Congress Control Number: 2004110194 ISBN 3-540-22065-8 Springer Berlin Heidelberg New York ISBN 3-540-43450-X 2nd edition Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springeronline.com ° Springer Berlin ´ Heidelberg 2000, 2002, 2005 Printed in Germany The use of general descriptive names, registered names, trademarks, 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. Hardcover-Design: Erich Kirchner, Heidelberg SPIN 11010463 42/3130-5 4 3 2 1 0 ± Printed on acid-free paper...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. Key features: ● Thoroughly revised and updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods Thoroughly class-tested in leading finance schools Chris Brooks is Professor of Finance at the ICMA Centre, University...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. Key features: ● Thoroughly revised and updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods Thoroughly class-tested in leading finance schools Chris Brooks is Professor of Finance...
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