Supply Chain Analytics: Concepts, Techniques and Applications
Color | Sd-gt23 |
Shipping Weight | 0.58 Kilograms |
Primary material | Polyester, Polyester Blend |
Capacity | 3.2' X 6.5' |
Item Shape | Rectangular |
Weight | 622 Grams |
Manufacturer | Springer Nature Switzerland AG |
M**
Excellent: Supply chain analytics with python code.
The combination of end-to-end supply chain math/analytics and python programming (actual working code), and pandas for data files, make this a great reference book and guide to help on actual projects (practical application). For example, in just a few pages I learned the nearest neighbor routing algorithm and had it running in my computer in a few hours. Others books I read tend to over complicate the problem, with too much theory or math, or practical but no python. As a bonus, I leaned some elegant ways to manipulate data frames for routing algorithms too. So far it’s the most used and useful work book. Highly recommended.
F**
Excellent textbook
This is one of the best books that outlined the management and operations of the supply chain. The concepts are elaborate very well with some very useful practical case studies. This book is an excellent textbook. I strongly recommend this book to all business and management undergraduates and MSc students, especially quantitative-orientated students.Overall, this is a five-start textbook: it’s easy to understand and very well structured with some excellent real-life case studies.
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