Supply chain analytics : an uncertainty modelling approach

Author(s)

    • Biçer, Işık

Bibliographic Information

Supply chain analytics : an uncertainty modelling approach

Işık Biçer

(Springer texts in business and economics)

Springer, c2023

Available at  / 3 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This textbook offers a detailed account of analytical models used to solve complex supply chain problems. It introduces a unique risk analysis framework that helps the reader understand the sources of uncertainties and use appropriate models to improve decisions in supply chains. This framework illustrates the complete supply chain for a product and demonstrates the supply chain's exposure to demand, supply, inventory, and financial risks. Step by step, this book provides a detailed examination of analytical methods that optimize operational decisions under different types of uncertainty. It discusses stochastic inventory models, introduces uncertainty modeling methods, and explains methods for managing uncertainty. To help readers deepen their understanding, it includes access to various supplementary material including an online interactive tool in Python. This book is intended for undergraduate and graduate students of supply chain management with a focus on supply chain analytics. It also prepares practitioners to make better decisions in this field.

by "Nielsen BookData"

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Details

  • NCID
    BD07100869
  • ISBN
    • 9783031303463
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham, Switzerland
  • Pages/Volumes
    xiv, 314 p.
  • Size
    25 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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