Publisher's Synopsis
This book provides techniques to solve large business problems such as vehicle routing, scheduling, inventory planning, demand forecasting, etc. This book gives a unique blend of machine learning techniques with traditional OR methods. All languages commonly used in the OR industry, namely C#, Julia, Python, and R are included in this book along with several examples. The book provides computer code in C# to implement several decomposition techniques with IBM, ILOG, and CPLEX Concert. The book includes real-life examples and their implementation techniques, it offers questionnaires, several mathematical models, forecasting methods, ample illustration, and a detailed discussion on Demand Driven Material Requirements Planning (DDMRP). The book is an ideal reference for professionals, and students in Industrial Engineering, Operations Research, Computer Science, and Information Technology to help their careers as Engineers, Analysists, and Scientists.
