Senin, 20 Mei 2019

Free PDF Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin

Free PDF Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin

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Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin

Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin


Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin


Free PDF Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin

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Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin

A Proven 10-Step Solution Process to Identify and Solve Supply Chain Problems Using the Latest Lean Methods

Fully revised to cover recent dramatic developments in supply chain improvement methodologies, this strategic guide brings together the Six Sigma and Lean manufacturing tools and techniques required to eliminate supply chain issues and increase profitability. This updated edition offers new coverage of enterprise kaizen events, big data analytics, customer loyalty metrics, security, sustainability, and design for excellence.

The structured 10-Step Solution Process presented in the book ensures that clear goals are established and tactical objectives are consistently met through the deployment of aligned Lean Six Sigma projects. Written by a Master Black Belt and Lean Six Sigma consultant, this practical resource also provides an inventory model and Excel templates for download at www.mhprofessional.com/LSSSCM2.

Lean Six Sigma for Supply Chain Management, Second Edition, covers:

  • Lean Six Sigma applications for service, supply chain, and manufacturing systems
  • Deploying Lean Six Sigma projects using Lean tools and models
  • Demand management impact on Lean Six Sigma projects
  • Lead time impact on Lean Six Sigma projects
  • Root-cause analysis using Six Sigma Tools (with operations research methods)
  • Applications to Lean Six Sigma supply chains and third-party logistics
  • Big data analytics, security, and sustainability applications
  • Voice of the Customer, Kano, and loyalty metrics
  • Supply chain design for excellence methods
  • Lean Six Sigma maturity model

  • Sales Rank: #1234168 in eBooks
  • Published on: 2014-05-13
  • Released on: 2014-05-13
  • Format: Kindle eBook

About the Author

James William Martin (Rehoboth, MA), a Lean Six Sigma consultant and Master Black Belt, is president of Six Sigma Integration, Inc. He is the author of several books and articles on quality and process improvement.

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Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin PDF

Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin PDF

Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin PDF
Lean Six Sigma for Supply Chain Management, Second Edition: The 10-Step Solution ProcessBy James Martin PDF

Kamis, 16 Mei 2019

Ebook Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk

Ebook Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk

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Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk

Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk


Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk


Ebook Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk

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Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk

Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective.

Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts.

This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

  • Sales Rank: #1807978 in Books
  • Published on: 2010-04-04
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.20" h x 1.30" w x 6.20" l, 1.45 pounds
  • Binding: Hardcover
  • 400 pages

From the Back Cover

"Thorough and well-cited, this is a comprehensive treatment of techniques for portfolio risk management. It provides a unique perspective, from the fundamentals to practical applications. There are few books that cover this material in this particular way."--Christopher L. Culp, author of Structured Finance and Insurance

"The range of topics is wide and the coverage is deep. An impressive book."--Peter Christoffersen, McGill University

"The conceptual framework of this book is presented in a lucid and clear manner. The treatment is mathematically rigorous where it matters, without ever becoming pedantic and without cutting corners."--Riccardo Rebonato, Royal Bank of Scotland

"This book takes major steps forward in the crucially important area of portfolio risk measurement, making significant strides toward incorporating industry and country risk, as well as macroeconomic, FX, credit, transactions cost, and liquidity risks. It will be an essential reference text for academics, central bankers, and others in the financial services industry."--Francis X. Diebold, University of Pennsylvania

About the Author
Gregory Connor is professor of finance at the National University of Ireland, Maynooth, and senior research associate at the London School of Economics and Political Science. Lisa R. Goldberg is executive director of analytic initiatives at MSCI Barra and adjunct professor of statistics at the University of California, Berkeley. Robert A. Korajczyk is professor of finance at Northwestern University.

Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk PDF
Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk EPub
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Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk iBooks
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Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk Mobipocket
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Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk PDF

Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk PDF

Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk PDF
Portfolio Risk AnalysisBy Gregory Connor, Lisa R. Goldberg, Robert A. Korajczyk PDF