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Supply Chain Analytics and Modelling: Quantitative Tools and Applications

Supply Chain Analytics and Modelling: Quantitative Tools and Applications

Supply Chain Analytics and Modelling: Quantitative Tools and Applications Paperback / softback - 2021

by Nicoleta Tipi

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Paperback / softback. New. Harness data within the supply chain using this accessible guide on how to examine, evaluate and apply business analytics models.
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Details

  • Title Supply Chain Analytics and Modelling: Quantitative Tools and Applications
  • Author Nicoleta Tipi
  • Binding Paperback
  • Condition New
  • Pages 328
  • Volumes 1
  • Language ENG
  • Publisher Kogan Page
  • Publication date 2021-04-27
  • Features Bibliography, Index
  • Bookseller's Inventory # A9780749498603
  • ISBN 9780749498603 / 0749498609
  • Weight 1.09 lbs (0.49 kg)
  • Dimensions 9.25 x 6.22 x 0.79 in (23.50 x 15.80 x 2.01 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Industrial management - Mathematical models, Business logistics - Data processing
  • Library of Congress Catalogue Number 2021003077
  • Dewey Decimal Code 658.702
  • Quantity available 10

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From the publisher

An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models.

However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues.

Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.

About the author

Nicoleta Tipi is Senior Lecturer in Operations and Supply Chain at the Open University, UK. She was previously Senior Lecturer at the University of Huddersfield where she gained experience lecturing in the area of supply chain modelling and logistics operations. Nicoleta Tipi has considerable industry experience, having worked in different roles involving modelling and analytics for Unilever.

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