【摘要】：實踐表明自提點類型和自提點覆蓋距離影響消費者對自提服務的滿意度。為解決消費者滿意度選址問題,基于逐漸覆蓋理論,用凹凸函數(shù)刻畫消費者的滿意度,構建了基于逐漸覆蓋的自提點選址模型;根據(jù)模型的特點,設計了相應的拉格朗日松弛算法;最后,運用大量的隨機算例進行計算,并與傳統(tǒng)覆蓋模型的選址結果進行了比較。算例分析結果揭示了所構建的模型和算法在自提點選址決策中的有效性。
[Abstract]:The practice shows that the type of self-elevating point and the distance of self-raising point coverage affect the satisfaction of consumers to self-service. In order to solve the problem of customer satisfaction location, based on the theory of gradual coverage, the paper describes consumer satisfaction with concavity and convex function, and constructs a self-lifting point location model based on gradual coverage, which is based on the characteristics of the model. A corresponding Lagrangian relaxation algorithm is designed. Finally, a large number of random examples are used to calculate the results, and the results are compared with those of the traditional overlay model. The results of example analysis show the validity of the proposed model and algorithm in the decision of self-elevating point location.
【作者單位】： 西南交通大學交通運輸與物流學院;
【基金】：四川省軟科學研究計劃資助項目(2014ZR0065,2014ZR0032)
【分類號】：TP301.6
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本文編號：2267377