Title :
The Study of Minimum Time Algorithm in Intensive Goods Storage Planning
Author :
Zang, Jiyuan ; Yun, Chao ; Zhang, Zhiqiang
Author_Institution :
Robot. Inst., Beihang Univ., Beijing, China
Abstract :
Based on a minimum time algorithm the planning of dense storage with complicated storage objects and numerous storage positions was studied. For the operating space constraints of storage equipment, a pre-solution of minimum storage was given, which was obtained by artificial arrangement. Then, the optimum solution was solved by the Minimum Time Algorithm. The model was built, and it was proved that this planning has been considered to be accurate enough and helpful in practical applications. Especially, the planning has been already used in practical medicine storage.
Keywords :
minimisation; pharmaceutical industry; production planning; storage; artificial arrangement; intensive goods storage planning; medicine storage; minimum time algorithm; space constraints; storage equipment; storage position; Biological system modeling; Conferences; Europe; Hospitals; Logistics; Partitioning algorithms; Planning; automatic pharmacy system; intensive goods storage planning; minimum time algorithm;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.605