A Threshold‐Satisfying Competitive Location Model
研究在需求不确定下，如何选择新店位置以最小化收入低于给定阈值的概率，适用于企业生存依赖最低收入门槛的场景。
In this paper we consider a location model based on the threshold concept. We find the best location such that the probability of revenue falling short of the threshold is minimized. This objective is appropriate when a firm will not survive if its revenue falls below a known threshold. A new store is to be located. Demand is not deterministic but rather has a statistical distribution. We seek the location at which the probability that the revenue (expressed as market share attracted by the new store) is below a given threshold is minimized. The model is formulated and solved, and computational results are given.