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Introduction to Logistics Systems Management

With Microsoft Excel and Python Examples
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Introduction to Logistics Systems Management provides an insightful overview of the principles and operations of logistics and supply chain management. It covers key topics such as transport and warehousing, inventory management, and distribution systems design, blending theoretical foundations with practical solutions. The book is ideal for understanding how to effectively manage logistics systems within various engineering and technological contexts.
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Format: Hardback
$14299
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're interested in gaining a comprehensive understanding of logistics systems and their management, especially within the fields of engineering and technology. It provides in-depth insights and methodologies that are crucial for tackling real-world logistical challenges, making it a valuable resource for both students and professionals.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

The updated new edition of the award-winning introductory textbook on logistics system management

Introduction to Logistics Systems Management provides an in-depth introduction to the methodological aspects of planning, organisation, and control of logistics for organisations in the private, public, and non-profit sectors. Based on the authorsโ€™ extensive teaching, research, and industrial consulting experience, this classic textbook is used in universities worldwide to teach students the use of quantitative methods for solving complex logistics problems.

Fully updated and revised, the third edition places increased emphasis on the complexity and flexibility required by modern logistics systems. In this context, the extensive use of data, descriptive analytics, predictive models, and optimisation techniques will be invaluable to support the decisions and actions of logistics and supply chain managers. Throughout the book, brand-new case studies and numerical examples illustrate how various methods can be used in industrial and service logistics to reduce costs and improve service levels. The book:

  • includes new models and techniques that have emerged over the past decade;
  • describes methodologies for logistics decision making, forecasting, logistics system design, procurement, warehouse management, and freight transportation management;
  • includes end-of-chapter exercises, Microsoftยฎ Excelยฎ files and Pythonยฎ computer codes for each algorithm covered;
  • includes access to a companion website with additional exercises, links to video tutorials, and supplementary teaching material.

To facilitate creation of course material, additional LaTeX source data containing the formulae, optimisation models, tables and algorithms described in the book is available to instructors.

Introduction to Logistics Systems Management, Third Edition remains an essential textbook for senior undergraduate and graduate students in engineering, computer science, and management science courses. It is also a highly useful reference for academic researchers and industry practitioners alike.

Series: Wiley Series in Operations Research and Management Science

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Book Details

INFORMATION

ISBN: 9781119789390

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 01 December 2022

Country: United States

Imprint: John Wiley & Sons Inc

Edition: 3rd edition

Audience: Professional and scholarly

DIMENSIONS

Spine width: 41.0mm

Width: 170.0mm

Height: 244.0mm

Weight: 1304g

Pages: 608

About the Author

Gianpaolo Ghiani, Professor of Operations Research, University of Salento, Lecce, Italy.

Gilbert Laporte, Professor Emeritus, Department of Decision Sciences, HEC, Montrรฉal, Canada and University of Bath, United Kingdom.

Roberto Musmanno, Professor of Operations Research, University of Calabria, Italy.

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