基于资源整合的连锁超市混搭配送优化研究

发布时间：2018-03-16 13:05

本文选题：混搭配送　切入点：优化　出处：《管理评论》2017年08期 　论文类型：期刊论文

【摘要】：如何合理地将低温商品和常温商品进行混搭配送,从而以最低的成本,最高的效率,最优的服务,将多品种货物及时完好地送达各门店是连锁超市配送面临的主要问题。本文在物流资源整合的基础上,综合考虑物流配送的库存成本、运输成本、能耗成本和惩罚成本等,建立了利润最大化的混搭配送物流优化的数学模型,利用模拟退火算法求解,并进行了实证研究分析。研究表明,基于资源整合的混搭配送可以提高服务水平和利润,这说明,混搭配送可有效地解决中小超市物流配送的高成本和低效率问题。
[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.
【作者单位】：北京交通大学经济管理学院;
【基金】：国家社科基金重大项目(15ZDA022) 北京交通大学基本科研业务费(2015jbzd01) 中宣部“四个一批”人才项目
【分类号】：F252;F721

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