Economic Design of Cross-Border Fresh Agricultural Product Delivery Chain Based on Multivariate Control Charts

To reduce product loss and decrease delivery chain costs in the cross-border fresh agricultural product delivery process, this paper utilizes the Variable Sample Size (VSS) T<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> control chart to monitor the delivery chain. Firstly, the VSS T<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> control chart scheme is introduced. Secondly, based on the VSS scheme and combined with the delivery chain, a T<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> control chart economic model is constructed. Finally, a case study is conducted, and genetic algorithms are used to obtain the optimal parameters of the control chart and delivery chain costs. The results demonstrate that compared to traditional T<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> control charts, the use of VSS T<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> control charts exhibits better economy. This validates the correctness and effectiveness of the proposed statistical design economic model, which has the potential to provide practical guidance for enterprises.