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高密度敏捷配送系统货位分配模型
Distribution Model of High Density Agile Delivery System

DOI: 10.12677/IaE.2015.33011, PP. 77-83

Keywords: 高密度敏捷配送系统,货位分配,分配模型
High Density Agile Delivery System
, Storage Location Assignment, Distribution Model

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Abstract:

由于传统的自动化立体仓库本身结构的特点,使其在出入库频率和空间利用率方面具有一定的限制。因此,研究设计一种实现敏捷配送的仓储配送系统,实现货物的自动前移和敏捷连续配送可以解决这样的问题。为了提高系统的出库效率,提出了一种针对高密度敏捷配送系统货位分配的改进方式,设置备货货道。论文主要分析高密度敏捷配送系统的货位分配问题,根据系统的特点建立货位分配的数学分配模型。结果表明,该模型极大地缩减了系统的出库操作时间,也缓解了出库高峰期的工作,使得客户的等待时间最小化。
There are certain limitations on the frequency of warehouse and space utilization rate because of the structure characteristics of traditional warehouse. Researching and designing a storage and distribution system which has high storage density, can forward the goods automatically and can move goods from storage continuously and briskly will solve such problem. In order to further improve the outbound efficiency of the system and save the total time, an improved method for storage location assignment of high density agile delivery system has been proposed to set stocking cargo passage. Storage location assignment of high density agile delivery system was analyzed, the principle of storage location assignment was determined, and the mathematical model for the storage location assignment was established. The result shows that such model greatly reduces operation time of warehouse system, and eases the peak of assignments work, and consequently the waiting time of the customer is minimised.

References

[1]  Atmaca, E. and Ozturk, A. (2013) Defining order picking policy: A storage assignment model and a simulated annealing solution in AS/RS systems. Applied Mathematical Modelling, 37, 5069-5079.
http://dx.doi.org/10.1016/j.apm.2012.09.057
[2]  Mansuri, M. (1997) Cycle time computation, and dedicated storage assignment, for AS/RS systems. European Journal of Operational Research, 33, 307-310.
[3]  Malmborg, C. and Al-Tassan, K. (2000) An integrated model for order picking systems with randomized storage. Applied Mathematical Modelling, 24, 95-111.
http://dx.doi.org/10.1016/S0307-904X(99)00009-8
[4]  Berg, J.P. and Zijm, W.H.M. (1999) Models for warehouse management: Classification and examples. International Journal of Production Economics, 59, 519-528.
http://dx.doi.org/10.1016/S0925-5273(98)00114-5
[5]  Lee, Y.H., Lee, M.H. and Hur, S. (2005) Optimal design of rack structure with modular cell in AS/RS. International Journal of Production Economics, 98, 172-178.
[6]  Tun?, S., Kutlu, B., Zincidi, A. and Atmaca, E. (2008) Improvement of order picking process in warehouse system. Journal of the Faculty of Engineering and Architecture of Gazi University, 23, 357-364.
[7]  Moccia, L., et al. (2009) A column generation heuristic for a dynamic generalized assignment problem. Computers & Operations Research, 36, 2670-2681.
http://dx.doi.org/10.1016/j.cor.2008.11.022
[8]  Azzi, A., Battini, D., Faccio, M., Persona, A. and Sgarbossa, F. (2011) Innovative travel time model for dual-shuttle automated storage/retrieval systems. Computers & Industrial Engineering, 61, 600-607.
http://dx.doi.org/10.1016/j.cie.2011.04.015
[9]  Petersen, C.G. and Aase, G. (2004) A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92, 11-19.
http://dx.doi.org/10.1016/j.ijpe.2003.09.006
[10]  Potrc, I., Lerher, T., Sraml, M. and Tollazi, T. (2010) Travel time models for automated warehouses with aisle transferring storage and retrieval machine. European Journal of Operational Research, 205, 571-583.
http://dx.doi.org/10.1016/j.ejor.2010.01.025
[11]  石梦竹 (2013) 基于动力贯通式货架的自动化立体仓库的入库调度优化研究. 硕士论文, 山东大学, 济南.
[12]  Manzini, R., Gamberi, M., Persona, A. and Regattieri, A. (2007) (2007) Design of a class based storage picker to product order picking system. International Journal of Advanced Manufacturing Technology, 32, 811-821.
http://dx.doi.org/10.1007/s00170-005-0377-2

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