我们用逻辑方法来说明，在配送系统中选址的重要性。
We used Logic Net Plus to illustrate the proper system of distribution hub expansion and site selecting for Metal Works Corporation. After studying various options, we modeled on and improved each scenario with a linear equation. The findings conclude that the optimal course of action would be to set up a maker in Juarez, Mexico and distribution hubs in Des Moines, Dover, Chattanooga, Orlando, Sacramento, Phoenix, Houston, and Los Angeles.
METHODOLOGY 方法论
我们开始设计金属替代品的生产方法。这些方案可以在一个工厂进行生产。在墨西哥或其他地方建立，并采用完善的网络进行传输。
We started by designing models for all of MetalWorks' likely production substitutes. These included enlarged capacity of products at the Des Moines factory (file cabinets, safe boxes, or both) and a choice to found a new factory in Juarez, Mexico. After these models were finished, the LogicNetPlus software was adopted to perfect the network from 2010-2012 based on presumed demand. We compared the total cost through the three years to each of those scenarios. (Exhibit A)
随后，我们还要设计完善的生产方案，确定理想的仓库系统。确定仓库的数量和种类，选址最好的方案，不好的方案将会被淘汰，我们确定了仓库的数量是八，我们用最大和最小的数量进行模拟，从而选出最佳的数量。
After we decided on the perfect production scenario we used LogicNetPlus to determine the ideal warehouse system. To achieve that we firstly set our maximum number of warehouses at ten to make sure the optimal option is not eliminated by unrealistic limitations. After copying the three given years, we ascertained the optimal number of warehouses to be eight. We then adopted a minimum and maximum limit of eight for all future simulations.
之后，我们还要进行敏感性分析，为上市确定好最好的位置和选择最好的仓库，从哪个时候开始，我们就要把不切合实际的都要淘汰掉，用最好的最优秀的方案。来节约我们最大的成本，从而确定出最优秀的方案。
After that, we carried out sensitivity analysis into all warehouses listed as options spanning the three years in order to determine which occupied the best locations. While doing this we discovered that some warehouses were consistently present. From that time, we determined these warehouse sites in all future simulations. For the other storehouses, we eliminated one possible location in Portland because of the trivial cost resulting from closure. (Exhibit B) The remaining locations were paired up on the basis of geographic proximity in accordance with that one warehouse is expected to serve all the customers in that region. We invented all possible combinations of these warehouses, and compared the total cost. With these results (Exhibit C) we identified the ideal warehouse system.
FINDINDS
Based on the findings of simulating all possibilities, building a new production plant in Juarez proved to be the least expensive option with a total cost of $205,212,869, which represented a decrease of 4% cost from the original baseline model created—larger than any of the other simulated alternatives. (Exhibit A) In the process outlined in the methodology section we can find that the optimal number of warehouses was eight. Warehouses existed in Chattanooga, Des Moines, Dover, Orlando, and Sacramento throughout three years. Possible locations for the other three warehouses were Dallas, Houston, Phoenix, Tucson, Los Angeles, and San Diego. The best system took advantage of the locations in Houston, Phoenix, and Los Angeles. (Exhibits C & D) We also studied the sensitivity of
