Smart logistics is a new direction for the development of the current logistics industry. This paper mainly analyzes and summarizes the main development status of China's smart logistics and related policies. It f...Smart logistics is a new direction for the development of the current logistics industry. This paper mainly analyzes and summarizes the main development status of China's smart logistics and related policies. It finds that China's current investment in innovation and the application of smart systems in the smart logistics industry are gradually increasing, indicating that China's entire logistics system is also in constant transition towards smart direction. However, there is still a certain gap between the related technology application level and the international developed countries, and these problems should be solved in a timely manner. At the same time, this paper also puts forward specific suggestions on relevant issues, hoping to provide certain reference value for the development of China's smart logistics business platform model and innovation mechanism.展开更多
Motivated by the business model called“community group buying”(CGB),which has emerged in China and some countries in Southeast Asia,such as Singapore and Indonesia,we develop algorithms that could help CGB platforms...Motivated by the business model called“community group buying”(CGB),which has emerged in China and some countries in Southeast Asia,such as Singapore and Indonesia,we develop algorithms that could help CGB platforms match consumers with stage-stations(the picking up center under the CGB mode).By altering the fundamental design of the existing hierarchy algorithms,improvements are achieved.It is proven that our method has a faster running speed and greater space efficiency.Our algorithms avoid traversal and compress the time complexities of matching a consumer with a stage-station and updating the storage information to O(logM)and O(MlogG),where M is the number of stage-stations and G is that of the platform’s stock-keeping units.Simulation comparisons of our algorithms with the current methods of CGB platforms show that our approaches can effectively reduce delivery costs.An interesting observation of the simula-tions is worthy of note:Increasing G may incur higher costs since it makes inventories more dispersed and delivery prob-lems more complicated.展开更多
文摘Smart logistics is a new direction for the development of the current logistics industry. This paper mainly analyzes and summarizes the main development status of China's smart logistics and related policies. It finds that China's current investment in innovation and the application of smart systems in the smart logistics industry are gradually increasing, indicating that China's entire logistics system is also in constant transition towards smart direction. However, there is still a certain gap between the related technology application level and the international developed countries, and these problems should be solved in a timely manner. At the same time, this paper also puts forward specific suggestions on relevant issues, hoping to provide certain reference value for the development of China's smart logistics business platform model and innovation mechanism.
基金supported by the National Natural Science Foundation of China(71991464,71921001)Fundamental Research Funds for the Central Universities,General Program(WK2040000053)Key Program(YD2040002027)。
文摘Motivated by the business model called“community group buying”(CGB),which has emerged in China and some countries in Southeast Asia,such as Singapore and Indonesia,we develop algorithms that could help CGB platforms match consumers with stage-stations(the picking up center under the CGB mode).By altering the fundamental design of the existing hierarchy algorithms,improvements are achieved.It is proven that our method has a faster running speed and greater space efficiency.Our algorithms avoid traversal and compress the time complexities of matching a consumer with a stage-station and updating the storage information to O(logM)and O(MlogG),where M is the number of stage-stations and G is that of the platform’s stock-keeping units.Simulation comparisons of our algorithms with the current methods of CGB platforms show that our approaches can effectively reduce delivery costs.An interesting observation of the simula-tions is worthy of note:Increasing G may incur higher costs since it makes inventories more dispersed and delivery prob-lems more complicated.
