一个开发的移动应用程序的最佳设施位置使用重心方法

M. Gutierrez, Japeth Q. Naval, Elyza May S. Paulite, Roselia Morco, Risty Acerado, J. E. Mutuc
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引用次数: 0

摘要

本研究是关于单个设施最佳选址的移动应用程序的开发、测试和应用。方法是利用重心法定位设施的中心位置。这种平等将反映出平衡和最小的时间和成本。系统中要考虑的主要变量是客户的距离、客户的需求和运输费率。一般来说,应用技术的公司比不应用技术的公司表现要好得多。这导致了一个移动应用程序的开发,以确定一个单一的设施,将服务于几个需求中心的最佳位置。在移动应用程序开发完成后,将进行测试,包括验证移动应用程序是否会在理论计算中提供相同的结果。研究证实了移动应用程序与位置规划的理论计算是一致的。这个移动应用程序成为一个决策支持系统,表明他们可以访问这个移动应用程序来提高公司的决策绩效。这是一个更快、更有效的决策,因为计算将在几秒钟内完成,而不是需要时间的人工计算,而且你可以看到正在调查的地理区域。此外,移动应用程序是实用的,因为它是灵活的,易于使用。所需的数据很容易收集。移动应用程序可以生成多达100次迭代,以确保获得全局最大值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A developed mobile application for optimum facility location using center of gravity approach
This research is about the development, testing and application of mobile app for optimum location spot of a single facility. The approach is to use Center of Gravity Method to locate the central locations of the facility. This equality would reflect balance and minimum time and cost. The main variables to be considered in the systems are customer's distance, customer's demands and transportation rates. In general, firms which apply technologies will perform significantly better than those that do not. This leads to the development of a mobile app to identify best location for a single facility which will serve several demand centers. After the development of a mobile app, this undergoes testing which includes verification whether the mobile app will provide the same result in theoretical computations. The study confirms that the mobile app is consistent with the theoretical computations for location planning. This mobile app becomes a decision support system suggesting that they can access this mobile app to improve the firm's performance on decision making. A faster and effective decision making since instead of manual computation which will take time, the computation will be in a few seconds plus you could visualize the geographic areas being investigated. Moreover, the mobile app is practical to implement because it is flexible and easy to use. The data needed is easy to gather. The mobile app can generate up to 100 iterations to ensure that global maxima is obtained.
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