Introduction to Logistics Systems Management: With Microsoft Excel and Python Examples

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, 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 creation of course material, additional LaTeX source data  containing the formulae, optimization 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.