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.
引用
收藏
页数：5
相关论文
共 50 条
  • [31] An Improved Genetic Algorithm based Power System Stabilizer for power system stabilization
    Mustapha, Hamza
    Buhari, Muhammad
    Ahmad, Abubakar Sadiq
    2019 IEEE AFRICON, 2019,
  • [32] A study of storage assignment problem for an order picking line in a pick-and-pass warehousing system
    Pan, Jason Chao-Hsien
    Wu, Ming-Hung
    COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 57 (01) : 261 - 268
  • [33] A modeling of dynamic storage assignment for order picking in beverage warehousing with Drive-in Rack system
    Hadi, M. Z.
    Djatna, T.
    Sugiarto
    INTERNATIONAL CONFERENCE ON INDUSTRIAL AND SYSTEMS ENGINEERING (ICONISE) 2017, 2018, 337
  • [34] Warehouse Storage Assignment by Genetic Algorithm with Multi-objectives
    Cheng, Chi-Bin
    Weng, Yu-Chi
    INTELLIGENT HUMAN SYSTEMS INTEGRATION 2019, 2019, 903 : 300 - 305
  • [35] A Hybrid Genetic Algorithm Based Power System Stabilizer
    Sumathi, N.
    Selvan, M. P.
    Kumaresan, N.
    ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS, 2007, : 876 - 881
  • [36] Power Distribution System Reconfiguration based on Genetic Algorithm
    Zhang, Lei
    Zhang, Kaoshe
    Zhang, Gang
    PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 80 - 84
  • [37] A genetic based algorithm for measurement of power system disturbances
    El-Naggar, KM
    Al-Hasawi, WM
    ELECTRIC POWER SYSTEMS RESEARCH, 2006, 76 (9-10) : 808 - 814
  • [38] Genetic algorithm based design of power system stabilizers
    Hu, GQ
    Xu, DJ
    He, RM
    PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION, RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1 AND 2, 2004, : 167 - 171
  • [39] A job assignment method based on auction model and genetic algorithm for grid computing
    Wang, Xingwei
    Liu, Jinghong
    Ren, Wei
    Huang, Min
    Gao, Nan
    GCC 2006: FIFTH INTERNATIONAL CONFERENCE ON GRID AND COOPERATIVE COMPUTING WORKSHOPS, PROCEEDINGS, 2006, : 44 - +
  • [40] The Study of Warehousing Slotting Optimization Based on the Improved Adaptive Genetic Algorithm
    Yang, Lvqing
    Liu, Wei-wei
    Bai, Youjing
    2017 6TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE (ICAMCS 2017), 2017, : 106 - 113
12345