A Storage Assignment Method Based on Genetic Algorithm for Electric Power Warehousing System

被引：0
|
作者：
Feng Shuming [1 ]
Yang Yongcheng [1 ]
Pan Liuxing [1 ]
机构：
[1] Jiangsu Elect Power Informat Technol, Nanjing, Jiangsu, Peoples R China
来源：
2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2018年
关键词：
storage assignment; automated high-rise warehouse; genetic algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
An order storage assignment problem (SAP) is to find an effective way to locate products in a warehouse in order to improve the operational efficiency of warehousing system. Since SAP is an NP-hard problem, many heuristic algorithms have been proposed. We analyzed the influence of product weight on the stability of the shelf, as well as the influence of the frequency of products entering the warehouse and the time required to arrive at the warehouse on the efficiency of the warehousing operation. An optimization model based on shelf stability along with inbound and outbound efficiency was proposed and genetic algorithm is used to solve the model. The validity of the model and its solution method is verified by experiment. The results show that the model can effectively reduce the storage time and increase stability of the shelf.
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页数：5
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