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  • Supply Chain Analytics: Understanding the Business Context, Edition 1.1 by Nada R. Sanders book cover
  • Supply Chain Analytics: Understanding the Business Context, Edition 1.1 by Nada R. Sanders book cover
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Supply Chain Analytics: Understanding the Business Context, Edition 1.1

by Nada R. Sanders

Connecting analytics to supply chain decisions

$65.82 USD
$65.82 USD $65.82 USD

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AlbakiReads Editorial

Connecting analytics to supply chain decisions

Nada R. Sanders’s textbook concentrates on the business judgment that surrounds supply chain analytics: framing useful questions and deciding what to do with algorithmic outputs. Real-life business examples and mini-cases anchor its qualitative approach, while interdisciplinary coverage connects analytical problem-solving across business functions. Chapter-end highlights gather key terms and concepts, with endnotes offering material for further exploration. The emphasis is on applying analytics within its organizational context, complementing study of the mathematical methods themselves.

Good fit for readers who enjoy

  • Students studying supply chain management who want to develop the business context for analytics.
  • Readers interested in applying analytics outputs to decisions across connected business functions.
  • Instructors seeking a text with real-life examples, mini-cases, and chapter-end review features.

Themes

Supply chain analyticsDecision-makingSystems thinkingInterdisciplinary problem-solving

Based on publisher information and book metadata.

Book overview

*** An eTextbook version is available at VitalSource.com for $31.65. ISBN: 978-1-943153-60-2." ***

 

Supply Chain Analytics: Understanding the Business Context addresses an important gap in a thorough education in supply chain management. Unlike the many texts explicating the various mathematical aspects of supply chain management, this textbook illuminates the qualitative side of supply chain analytics. First, it teaches students to identify and ask relevant questions. Second, it helps students make decisions based on output from analytics algorithms. Through business examples and stories, it shows how to use systems thinking and interdisciplinary understanding to apply analytics-driven insights across the supply chain.

 

FEATURES:

Relevancy Through Real-Life Examples

Use compelling opening stories and original mini-cases dealing with real-life issues to make concepts tangible.

 

Interdisciplinary Coverage

Take advantage of interdisciplinary coverage in every chapter to show how multiple functions are linked through analytic problem-solving.

 

End-of-Chapter Features Confirm and Enhance Understanding

Review each chapter with an end-of-chapter highlight of key terms and concepts. Take deeper dives using the endnotes.

 

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