Bulk logistics is an important part of the modern logistics system. The degree of digital transformation of bulk logistics has a significant gap compared with other logistics forms. Combined with the successful experience of digital transformation, value co-creation may become one of the key strategies to solve the problem of digital transformation of bulk logistics. This study formulates a four-party evolutionary game model to analyze the strategic choices and the stability of strategy combinations in value co-creation activities among bulk logistics enterprises and related entities and conducts numerical simulation analysis to explore the factors affecting the outcomes of the proposed game. The numerical results demonstrate that the bulk logistics enterprises and government departments are the key players in the game form that drive the success of value co-creation activities, and the additional costs required by various enterprises and the policies and financial support from government departments are key factors affecting strategic choices. Our findings can serve as a reference for bulk logistics enterprises.

Bad weather will affect the mileage of electric logistics vehicles. In this paper, the express delivery scenarios considering different electric logistics vehicle charging mode, build based on using public charging station charging EVRP model and at the same time using public charging stations and special charging pile charging EVRP model, design reasonable cost target function and constraints, and using small-scale test examples to verify the effectiveness of the model.

Origin warehouses, positioned at the critical “first mile” of the agri-food supply chain, profoundly influence supply chain power structures and profit allocation, as well as supply chain stability and sustainable development. To explore the role of origin warehouses in the agri-food supply chain, this study develops a three-level game model comprising a “planter–origin warehouse operator–seller” framework. Notably, this study conceptualizes the dual-functional “origin warehouse” as observed in practice, proposing two theoretical modes: the Logistics Center (LC) and the Supply Chain Center (SCC). By treating quality level, service level, and selling price decisions as endogenous variables, this study further reveals the interconnected decision-making mechanisms under different operational modes. Overall, the LC mode performs better in quality-driven markets, generating higher system profits and greater social welfare, whereas the SCC mode is superior when consumers are more price-sensitive or place greater value on service. Based on these findings, this study provides decision-making guidance for origin warehouse operators aiming to select the optimal mode under varying market conditions and proposes targeted coordination strategies to promote the high-quality development and economic sustainability of the agri-food supply chain.

In some market segments of e-commerce industry, a duopoly competition situation of platform-based e-commerce enterprises has been formed. Based on the theory of platform economy, this paper analyzes the bilateral characteristics of e-commerce market, and defines the composition of market members and market structure. Secondly, a duopoly e-commerce enterprise competition model is built by combining Hotelling model, and empirical analysis is made by collecting relevant data of B2C online retail market in China. Finally, based on the results of mathematical empirical analysis, the conclusion is summarized and the corresponding management enlightenment is given.

This paper proposes an improved two-stage model to determine the optimal location of regional cold chain logistics centers in agricultural product logistics networks. In the first stage, the multi-index is considered by improving the clustering algorithm to optimize the regional division of the origin warehouse. In the second stage, the improved center of gravity method is applied to determine the location of logistics center based on multi-region and multi-category factors. Taking Yunnan Province as an example, the preliminary location schemes of Kunming, Zhaotong, Lincang, Honghe and Dali are obtained. By comparing with the traditional methods, the validity of the model is confirmed, which provides decision support for the optimization of agricultural product supply chain.

Starting from the integrity of B2B cross-border e-commerce transportation and inventory links, this paper takes the minimum total logistics cost as the optimization goal, constructs a joint optimization model of transportation and inventory based on B2B crossborder e-commerce, and applies the decomposition and coordination algorithm and improved genetic algorithm to solve the model. Finally, an example is given to verify the effect of the model on the optimization of B2B cross-border e-commerce transportation inventory cost, which provides reference for other cross-border logistics cost optimization problems.