2016 HiMCM B题特等奖学生论文下载7211

2016 HiMCM B题特等奖学生论文下载7211

 

下载方式见文末

 

论文摘要如下：

Summary A small business, whose main profits are online brick-and-mortar sales, is looking to start its shipping operations. It wishes to provide the continental United States with one-day transit by ground shipping with the United Parcel Service. Our task was to find the optimal warehouse placement to cover the continental United States with one-day transit while minimizing the number of warehouses. After finding the optimal placement, we considered state taxes as well as the tax cuts from the addition of clothing to the company’s inventory.

 

Using transit day maps from the UPS website, we created a genetic algorithm to optimize the coverage of the United States using a certain number of warehouses. We found that it took 32 warehouses to cover 100% of the continental United States with one-day transit. However, this was highly inefficient because it unnecessarily added warehouses in order to provide one-day transit to unpopulated areas like forest preserves. We found that with 23 warehouses, it was possible to cover 95.89% of the continental United States and provide one-day transit to 99.6% of the population, allowing us to cut down on nine warehouses while only losing one-day transit to 0.4% of the population.

 

We then altered our program to take state tax rates into consideration when optimizing the warehouse placement. The new program produced sets containing mostly ZIP codes corresponding to places with low tax rates. However, this greatly reduced the total one-day transit coverage produced by the set of ZIP codes.

2016 HiMCM特等奖论文完整版 下载链接

以上就是关于【2016 HiMCM B题特等奖学生论文下载7211】的解答，如需了解学校/赛事/课程动态，可至翰林教育官网获取更多信息。

往期文章阅读推荐：

2026 HiMCM数模竞赛组队！新赛季AI工具使用红线已划！

2026 HiMCM美国高中数模新赛季启动！翰林团队斩获O奖，速抢学霸队友席位！