Study on the Mixed Distribution Optimization for Convenience Supermarket Based on Resource Integration

Abstract

Abstract:

This paper aims to find out how to mix the low temperature goods in such a manner as to ensure they can be timely delivered to the supermarket at the lowest cost and the highest efficiency as well as with the best service. Based on the integration of logistics resources and taking the inventory cost, transportation cost, energy cost and penalty cost of logistics distribution into consideration, we set up a mixed logistics optimization mathematical model and make an empirical analysis. This provides a new feasible solution for the convenience of supermarket distribution stowage, and can effectively solve the problem of high cost and low efficiency in the logistics distribution of small supermarket.

Key words: mix distribution, optimization, resource integration, chain supermarket, simulated annealing

Zhang Mingyu, Yin Chao, Wang Shuxiang, Wu Wenbing. Study on the Mixed Distribution Optimization for Convenience Supermarket Based on Resource Integration[J]. , 2017, 29(8): 223-233.

References

[1] 刘凯. 现代物流技术基础[M]. 北京:清华大学出版社;北京交通大学出版社, 2008
[2] 高亦诚. 连锁便利店在配送中存在的问题及对策[J]. 物流工程与管理, 2015,37(10):76-77
[3] East A. R, Smale N. J. Combining a Hybrid Genetic Algorithm and Heat Transfer Model to Optimize an Insulated Box for Use in The Transport of Perishables[J]. Food Science, 2008,26(10):1322-1334
[4] Vanek F., Sun Y. Transportation versus Perishability in Life Cycle Energy Consumption:A Case Study of the Temperature-Controlled[J]. Food Product Supply Chain, 2008,13(6):383-391
[5] Kuo J. C., Chen M. C. Developing an Advanced Multi-Temperature Joint Distribution System for the Food Cold Chain[J]. Food Control, 2010,21(4):559-566
[6] Hsu C. I., Liu K. P. A Model for Facilities Planning for Multi-Temperature Joint Distribution System[J]. Food Control, 2011,22(12):1873-1882
[7] 卓裕仁,李长骇. 多温共配系统之车辆路线问题研究[C]. 第二届流通全球运筹研讨会,台北技术书院, 2004
[8] Nguyen C., Dessouky M., Toriello A. Consolidation Strategies for the Delivery of Perishable Products[J]. Transportation Research Part E Logistics & Transportation Review, 2014,69(3):108-121
[9] 张潜. 基于共同配送的城市物流优化方案研究[J]. 中国软科学, 2009,229(1):290-295
[10] 温卫娟,乔忠. 基于动态协同理论的城市共同配送机理及特性研究[J]. 山西财经大学学报, 2012,34(1):83-85
[11] Palomero S., Chalmeta R. A Guide for Supply Chain Integration in SMEs[J]. Production Planning & Control, 2014,25(5):372-400
[12] 戴君,谢琍,王强. 第三方物流整合对物流服务质量、伙伴关系及企业运营绩效的影响研究[J]. 管理评论, 2015,27(5):188-197
[13] 王淑云,孙虹. 随机需求下冷链品多温共配路径优化研究[J]. 工业工程与管理, 2016,21(2):49-58
[14] Nazif H., Lee L. S. Optimized Crossover Genetic Algorithm for Vehicle Routing Problem with Time Windows[J]. American Journal of Applied Sciences, 2010,7(1):95-101
[15] 郭儒家,钟震麒. 蓄冷式低温宅配系统[R]. 台湾工业技术研究院, 2004
[16] Chen H. K., Hsueh C. F., Chang M. S. Production Scheduling and Vehicle Routing with Time Windows for Perishable Food Products[J]. Computers & Operations Research, 2009,36(7):2311-2319
[17] 王淑云,孙虹,牟进进,等. 冷链品多温共配优化及效益:基于蓄冷式和机械式的比较研究[J]. 公路交通科技, 2016,33(3):146-153