Research on the Delivery plan in Suzhou in Jiangsu Province in China
Zhuang, Yiwen Jr (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023052915307
https://urn.fi/URN:NBN:fi:amk-2023052915307
Tiivistelmä
For enterprises, sudden social changes are an opportunity to seize, but failure to seize will become a challenge for the future. Suzhou Xuantong Precision Tools Co., Ltd. saw this opportunity and wanted to seize, so the delivery plan was proposed as a research project.
The research method is case and quantitative research, and the task is to improve the delivery plan of the case company and obtain the optimal delivery routes based on time cost. What was done was to define the type of problem in order to choose the processing tools, compare the availability of each tool to determine the final used one, which is ArcGIS Network Analyst, and then collect the required data and apply it to the tool after processing to obtain the optimal delivery routes. More importantly, actual trial operation was conducted to verify its rationality. The final result is a delivery plan, including delivery time, delivery personnel, and delivery vehicles.
The research found that the optimization calculated by ArcGIS Network Analyst not only optimized the delivery routes and reduced the delivery costs, but also provided a structure for delivery personnel management, and even benefited the improvement of the urban environment. Of course, considering the cohesion of the company, the method of reducing the personnel needs to be taken as a nonnegligible point when implementing the plan. The research described the entire research process of the generation of an efficient delivery plan, helped improve the efficiency and competitiveness of the case company, and even will bring more business opportunities and benefits to the case company. The research also provided a feasible optimization method of delivery plan for other logistics companies in Suzhou.
The research method is case and quantitative research, and the task is to improve the delivery plan of the case company and obtain the optimal delivery routes based on time cost. What was done was to define the type of problem in order to choose the processing tools, compare the availability of each tool to determine the final used one, which is ArcGIS Network Analyst, and then collect the required data and apply it to the tool after processing to obtain the optimal delivery routes. More importantly, actual trial operation was conducted to verify its rationality. The final result is a delivery plan, including delivery time, delivery personnel, and delivery vehicles.
The research found that the optimization calculated by ArcGIS Network Analyst not only optimized the delivery routes and reduced the delivery costs, but also provided a structure for delivery personnel management, and even benefited the improvement of the urban environment. Of course, considering the cohesion of the company, the method of reducing the personnel needs to be taken as a nonnegligible point when implementing the plan. The research described the entire research process of the generation of an efficient delivery plan, helped improve the efficiency and competitiveness of the case company, and even will bring more business opportunities and benefits to the case company. The research also provided a feasible optimization method of delivery plan for other logistics companies in Suzhou.