Introduction to Logistics Systems Management: With Microsoft Excel and Python Examples Gianpaolo Ghiani, Gilbert Laporte, and Roberto Musmanno is an English-language textbook focused on logistics systems management. This book provides a thorough introduction to methods for planning, organizing, and controlling within logistics systems.
It addresses the development and application of quantitative techniques in logistics systems for organizations in various sectors. The third edition has been fully revised and emphasizes complex, flexible logistics systems in which data analysis, predictive models, and optimization techniques are central. With practical cases and examples in Microsoft Excel and Python, it illustrates how logistics processes can be efficiently designed and managed to reduce costs and improve service.
The contents include, among other things:
- Models and techniques for forecasting, logistics system design, procurement, warehouse management, and transportation management
- Exercises and programming code for decision support
- Access to additional learning materials via a companion website
This reference work connects with topics such as mechanical engineering, industrial quality control, and technology & engineering. It is a valuable resource for professionals and students working in systems management within logistics.