应用于经济和可持续发展目标的数学方法

T. E. Olaosebikan, Friday Ogoigbe Egbon, K. S. Olayemi
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引用次数: 0

摘要

数学是实现可持续发展目标的关键因素,因为它适用于实际情况。为了实现可持续发展目标中的既定目标,本文提出了一些数学方法,这些方法在数学建模时将有助于解决与联合国批准的可持续发展目标2和12相关的实际情况。研究了西北角法(NWCM)、最小成本法(LCM)和Vogel近似法(VAM)这三种初始求解方法,确定了从生产设施到需求目的地运输商品的理想路线,并详细定义了最优解方法,即垫石法(SSM)和修正配送法(MDM),给出了提高运输成本的可行解。后续的研究将重点放在与其他现有方法的比较中,研究这些方法在SDGs问题上的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Methods Applied to Economy and Sustainable Development Goals
Mathematics is a key factor in achieving the Sustainable Development Goals (SDGs), because of its applicability to real situations. To achieve the set goals in SDG, this paper suggests some mathematical methods that will be useful for solving real situations in relation to goals 2 and 12 of SDGs approved by UN when modeled mathematically. The Northwest Corner Method (NWCM), Least Cost Method (LCM), and Vogel Approximation Method (VAM), which are the initial solution methods were examined to ascertain the ideal route of transporting commodities from production facilities to requirement destination while the optimal solution methods involve Stepping Stone Method (SSM), and Modified Distribution Method (MDM), that give the feasible solution which will enhance minimum transportation cost were also thoroughly defined. Subsequent research shall focus on application of the methods in relation to SDGs problems in comparison with other existing methods.
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