Agricultural products are easy to deteriorate in long-distance transportation. Excessive circulation loss not only increases the cost of fresh agri-product supply chain, but also damages the safety and quantity of fresh agri-products. The value loss of fresh agriproducts under different transportation modes was studied. This paper analyzes the conditions for the supplier to choose normal temperature transportation and cold chain transportation, and the influence of different transportation modes on the retailer's decision. The value loss of fresh agri-products under different transportation modes was studied. The conditions of choosing normal temperature transportation or cold chain transportation and the influence of different transportation modes on the retailer's decision are analyzed. It is found that when the supplier chooses cold chain transportation, the retailer and the whole supply chain can get more profits. The retailer is encouraged to make appropriate supply chain contracts with the supplier, such as the improved revenue-sharing contract or the cost-sharing contract, and the supplier is encouraged to adopt cold chain transportation mode to improve the utilization rate of cold chain transportation of fresh agri-products. Consumers' sensitivity to freshness has a great impact on the strategies of supply chain members. The contribution of this work also includes reducing the circulation loss of agri-products and providing guidance for the operation and management of agri-products enterprises.
A cross-chain inventory emergency replenishment model that comprises the enterprises of manufacturers, wholesalers, and retailers at the same level and at different levels based on a co-opetition relationship in cluster supply chains is constructed in this work. The model is built by studying two three-level supply chains that each comprises manufacturers, wholesalers, and retailers using the system dynamics method. Subsequently, the proposed cross-chain inventory collaboration model is compared with currently available models and then simulated using the system dynamics simulation software Vensim. Simulation results show that the proposed model further improves existing theoretical research achievements in the field both locally and abroad, thereby advancing theoretical research on cross-chain inventory collaboration. This study also provides decision-making references for the practice of inventory collaboration among enterprises in industrial clusters.
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