Logistic Optimization Technology

This paper includes eight chapters, including introduction, logistics demand forecasting, linear programming, transportation optimization, inventory optimization, logistics network optimization, dynamic programming, logistics decision and countermeasure. In the process of writing, the author highlights the following characteristics: integrating theory with practice, focusing on the use of logistics optimization technology to solve practical problems, focusing on problem-solving examples, adopting multi-faceted, multi-angle examples to solve problems, and using extensive charts. Such features can help students to understand and stimulate their proactive learning.