Optimizing New Chain Retail Store Area by Using Voronoi Diagram Technique

被引:0
|
作者
Lai, Wen-Hsiang [1 ]
Hung, Kei-Zhang [1 ]
机构
[1] Feng Chia Univ, Grad Inst Management Technol, Taichung 40724, Taiwan
关键词
LOCATION;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study probes into a large-scale retail chain store in the central business district (CBD) and discusses how chain stores avoid competitors and its own market fields to explore availabilities of commercial opportunity and economic development. This study adapts Voronoi diagram technique, which is applied as a new method in the field of technology management, in order to optimize the selection of new locations. In this study, the concept of center place theory (CPT) provides an important value of studying industrial market development of Voronoi technique using geographic information system (GIS). This study constructs an algorithm to optimize the decision-making in the selection of new chain store location. According to the literature reviews, three most important factors affecting the decision-making of selecting a new location for stores are transportation, population, and site. It is necessary to calculate the optimal service ranges and conduct the comprehensive analysis of weighted Voronoi diagram (WVD) for these three critical factors. The biggest weight in WVD is chosen in this study as the general goal area of a new chain location, and then using the concept of Cone of Influence to find a smaller area for the specific store location within the WVD areas. This optimized new store location should be the ideal selection for business development of large-scale retail chain stores.
引用
下载
收藏
页数:10
相关论文
共 50 条
  • [1] Segmentation of page images using the area Voronoi diagram
    Kise, K
    Sato, A
    Iwata, M
    COMPUTER VISION AND IMAGE UNDERSTANDING, 1998, 70 (03) : 370 - 382
  • [2] Segmentation of Handwritten Mathematical Matrices Using the Area Voronoi Diagram
    Cherneha, Anastasiia
    Zhelezniakov, Dmytro
    Tytarchuk, Pavlo
    Tereshchenko, Vasyl
    IEEE EUROCON 2021 - 19TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES, 2021, : 107 - 112
  • [3] Area Graph: Generation of Topological Maps using the Voronoi Diagram
    Hou, Jiawei
    Yuan, Yijun
    Schwertfeger, Soren
    2019 19TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS (ICAR), 2019, : 509 - 515
  • [4] Area Coverage for Clustered Directional Sensor Networks using Voronoi Diagram
    Sharmin, Selina
    Nur, Fernaz Narin
    Razzaque, Md. Abdur
    Rahman, Md. Mustafizur
    2015 IEEE INTERNATIONAL WIE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE), 2015, : 370 - 373
  • [5] Analysis of Trade Area for Retail Industry Store Using Consumer Purchase Record
    Iwasaki, Sachiko
    Hashimoto, Ko
    Otake, Kohei
    Namatame, Takashi
    SOCIAL COMPUTING AND SOCIAL MEDIA: HUMAN BEHAVIOR, PT I, 2017, 10282 : 177 - 189
  • [6] An improvement in MPS method using Voronoi diagram and a new kernel function
    Shobeyri, Gholamreza
    Madadi, HamidReza
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2018, 40 (04)
  • [7] An improvement in MPS method using Voronoi diagram and a new kernel function
    Gholamreza Shobeyri
    HamidReza Madadi
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2018, 40
  • [8] A new particle shifting technique for SPH methods based on Voronoi diagram and volume compensation
    Gao, Tianrun
    Fu, Lin
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 404
  • [9] Wireless Body Area Sensor Network Authentication Using Voronoi Diagram of Retinal Vascular Pattern
    M. Ghazanfar Ullah
    B. S. Chowdhary
    A. Q. Rajput
    A. K. Baloch
    Ahsan A. Ursani
    S. Latif
    Wireless Personal Communications, 2014, 76 : 579 - 589
  • [10] Wireless Body Area Sensor Network Authentication Using Voronoi Diagram of Retinal Vascular Pattern
    Ullah, M. Ghazanfar
    Chowdhary, B. S.
    Rajput, A. Q.
    Baloch, A. K.
    Ursani, Ahsan A.
    Latif, S.
    WIRELESS PERSONAL COMMUNICATIONS, 2014, 76 (03) : 579 - 589