TITLE:
Study of Optimization Assigned on Location Selection of an Automated Stereoscopic Warehouse Based on Genetic Algorithm
AUTHORS:
Tongjuan Liu, Xiaoxia Ma, Xiaohui Zhan
KEYWORDS:
Automated Stereoscopic Warehouse, Optimization Assigned on Location Selection, Genetic Algorithm, The MATLAB Simulation
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.4 No.7,
July
30,
2016
ABSTRACT: In
twenty-first century, automated stereoscopic warehouse has attracted many
attentions of the enterprises because it has high working efficiency. The
operation efficiency and management benefit of an automated stereoscopic
warehouse are affected directly by the order picking efficient, it is an
important symbol of service level about the automated stereoscopic warehouse.
This paper from the perspective of the warehouse management to discuss the
issue, the optimization assigned of location selection is regarded as the
ultimate goal. A multi-objective mathematical model is established by setting “job
efficiency” and “turnover rate” as objective functions, “warehouse space layout”
as the constraint condition, and the genetic algorithm is used for coding this
mathematical model which is applied to a pharmaceutical warehouse and solved by
using Matlab software, result shows that the picking efficiency of normal
temperature zone and the turnover of cargo area are have been greatly improved.