The express delivery industry plays a pivotal role in fostering social and economic advancements. Promoting its development requires two key strategies: improving its infrastructure and revolutionizing its management approach. For this innovative research , the authors conduct a comprehensive examination of the express delivery industry's network optimization policies, the intricacies and complexity of its operational mechanism and the reform path for its innovation model. The goal is to build a theory of operations for this industry that can facilitate management reform by improving standardization, optimizing overall functionality, and increasing efficiency

Autorentext

Pengfei Li (Ph.D), Professor, School of Economics and Management, Xi'an University of Posts and Telecommunications.

Awards:

A Youth Talent of the Ministry of Transport in China Leader of A Youth Innovation Team from Shaanxi Universities Second Prize Winner of

Shaanxi Science and Technology Award Third Prize Winner of Shaanxi Philosophy and Social Science Award First Prize and Second Prize Winner of Outstanding Achievement Award for Science and Technologies in Universities of Shaanxi Province

Important Positions:

Peer Review Expert of National Social Science Foundation of China Member of the Youth Work Committee of the Chinese Society of Systems Engineering Member of the Expert Advisory Committee of the Post Industry Science and Technology Alliance Deputy Director of Expert Committee of Xi'an Federation of Logistics and Purchasing.

Research Interests: Business Big Data Processing, E-Commerce and Logistics

Jianhong Wu, Associate Professor, School of Economics and Management, Xi'an University of Posts and Telecommunications.

Awards:

Second Prize Winner of Shaanxi Science and Technology Award Third Prize Winner of Shaanxi Philosophy and Social Science Award First Prize Winner of Outstanding Achievement Award for Humanities and Social Sciences Research in Universities of Shaanxi Province Owner of a patent and 6 copyrights.

Research Interests: Informatization of Logistics Management, Optimization and Management of Express Delivery Network, E-commerce Big Data Processing