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Supply Chain Analytics - Isik Bicer - Bog

Bag om Supply Chain Analytics

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 managementwith a focus on supply chain analytics. It also prepares practitioners to make better decisions in this field.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031303494
  • Indbinding:
  • Paperback
  • Sideantal:
  • 314
  • Udgivet:
  • 29. juni 2024
  • Udgave:
  • 2023
  • Størrelse:
  • 235x155x23 mm.
  • Vægt:
  • 504 g.
  • Ukendt - mangler pt..

Normalpris

  • BLACK WEEK

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Supply Chain Analytics

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 managementwith a focus on supply chain analytics. It also prepares practitioners to make better decisions in this field.

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