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Introduction to Logistics Systems Management - With Microsoft (R) Excel (R) and Python examples 3e

Introduction to Logistics Systems Management - With Microsoft (R) Excel (R) and Python examples 3e

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  • More about Introduction to Logistics Systems Management - With Microsoft (R) Excel (R) and Python examples 3e


The third edition of Introduction to Logistics Systems Management is an award-winning textbook that provides an in-depth introduction to the methodological aspects of planning, organization, and control of logistics for organizations in the private, public, and non-profit sectors. It emphasizes the complexity and flexibility required by modern logistics systems and includes new models and techniques for logistics decision-making, forecasting, logistics system design, procurement, warehouse management, and freight transportation management. It also includes end-of-chapter exercises, Microsoft Excel files, and Python computer codes, and access to a companion website with additional exercises, links to video tutorials, and supplementary teaching material.

Format: Hardback
Length: 608 pages
Publication date: 01 December 2022
Publisher: John Wiley and Sons Ltd


The third edition of Introduction to Logistics Systems Management, an award-winning introductory textbook on logistics system management, provides an in-depth introduction to the methodological aspects of planning, organization, and control of logistics for organizations in the private, public, and non-profit sectors. Based on the authors' 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 optimization 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, Microsoft® Excel® files, and Python® 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 the creation of course material, additional LaTeX source data containing the formulae, optimization models, tables, and al.

Weight: 1312g
Dimension: 186 x 261 x 40 (mm)
ISBN-13: 9781119789390

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