Research Article
Research on the Standardized Reusable Delivery Box Business Plan Based on MATLAB
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326794, author={Yunfei Zhao and Hangdong Ye and Zipei Sun}, title={Research on the Standardized Reusable Delivery Box Business Plan Based on MATLAB}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={standardized; reusable; delivery box; potential market; design; material}, doi={10.4108/eai.18-11-2022.2326794} }
- Yunfei Zhao
Hangdong Ye
Zipei Sun
Year: 2023
Research on the Standardized Reusable Delivery Box Business Plan Based on MATLAB
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326794
Abstract
China has the largest business volume in express industry across the world, but it also leads to a serious environment problem on account of surplus delivery boxes. This paper attempts to address the social environment problem by starting up a new business model which focuses on designing a new type of standardized and recyclable boxes and building both non-monetary and monetary incentive systems to include the general public in the recycling process. First, this investigation took the pick-up station on the international campus of Zhejiang University as the sampling and used its stored data as the sample data. MATLAB was utilized to build models by grouping and presenting sets of data in scatter diagram and carrying out linear fitting. This fitting curve then was used to analyze the number and the growth of delivery boxes in the past as well as the recycling situation of delivery boxes, and lastly the derivative of the data curve was used to predict the future development. Secondly, Creo was applied to the design of standardized boxes and aided to estimate the cost. In addition, online surveys were distributed to the general public in order to investigate their willingness to recycle our standardized boxes. More than 100 responses were received, and these collected data were organized in Excel.