本文選題：混搭配送　切入點：優(yōu)化　出處：《管理評論》2017年08期 　論文類型：期刊論文

【摘要】：如何合理地將低溫商品和常溫商品進行混搭配送,從而以最低的成本,最高的效率,最優(yōu)的服務(wù),將多品種貨物及時完好地送達各門店是連鎖超市配送面臨的主要問題。本文在物流資源整合的基礎(chǔ)上,綜合考慮物流配送的庫存成本、運輸成本、能耗成本和懲罰成本等,建立了利潤最大化的混搭配送物流優(yōu)化的數(shù)學模型,利用模擬退火算法求解,并進行了實證研究分析。研究表明,基于資源整合的混搭配送可以提高服務(wù)水平和利潤,這說明,混搭配送可有效地解決中小超市物流配送的高成本和低效率問題。
[Abstract]:How to reasonably mix low temperature goods with normal temperature goods, so as to achieve the lowest cost, the highest efficiency, and the best service, The main problem of chain supermarket distribution is to deliver various kinds of goods to stores in good time. Based on the integration of logistics resources, this paper comprehensively considers the inventory cost, transportation cost, energy consumption cost and penalty cost of logistics distribution, etc. In this paper, the mathematical model of the optimization of mixed collocation logistics with maximum profit is established, and the simulated annealing algorithm is used to solve it, and the empirical analysis is carried out. The research shows that the mixed collocation based on the integration of resources can improve the service level and profit, which shows that, Mixed delivery can effectively solve the problem of high cost and low efficiency of logistics distribution in small and medium supermarkets.
【作者單位】： 北京交通大學經(jīng)濟管理學院;
【基金】：國家社科基金重大項目(15ZDA022) 北京交通大學基本科研業(yè)務(wù)費(2015jbzd01) 中宣部“四個一批”人才項目
【分類號】：F252;F721

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本文編號：1620041