As a part of stock, safety stock reduces the possibility of stock shortage and the cost of stock shortage, but the unreasonable setting of safety stock will increase the cost. This paper takes safety stock as the research object, introduces the financial field MI-TVP-SV-VAR model to construct safety stock index, and verifies the feasibility and effectiveness of the index through an example. The research results show that the construction of safety stock index can scientifically guide enterprises to set up safety stock, product production and resource allocation and investment, and help enterprises to make rapid response to market changes.
Based on big data computing, this paper deeply studies the work of the transportation capacity planning part of the smart logistics platform. As the core management object of the intelligent logistics platform, transportation capacity needs to be predicted, monitored and optimized from multiple dimensions such as waybill release, real-time vehicle supervision, and vehicle and cargo matching. Through the analysis of relevant needs and practical difficulties in the previous investigation and investigation of Nanchang regional logistics enterprise A, and combined with the development trend of new technologies, this paper proposes a solution of " transportation capacity collaborative intelligent logistics platform" based on big data. The construction of the platform depends to a certain extent on the final data format and usage scenarios. Therefore, this paper focuses on the establishment of relevant statistical data and portrait models for the data entities often used in the logistics process to provide support for the construction of the smart logistics platform.
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