A study on commercial facility location problem by ant colony optimization (consideration of a customer characteristic and classifying by stratum of a customer)

Tsuyoshi Baba, Takako Sorimachi, Koichi Murakami, Kazuho Yoshimoto

Research output: Contribution to journalArticle

Abstract

CVS (Convenience Store) is increasing. And the number of the closing shops is increasing. Therefore I have to decide a better geographical convenience point to open a store newly. In a conventional research, It didn't treat all the customers. In this research, I treat all of customer, regular customer, general flow customer, a special flow customer. I consider that a general flow customer is affected by other customers. Therefore I use improved ACO. ACO is effective in TSP etc. Furthermore, I improve ACO to take the action that matched a customer characteristic ( = the charm degree that conventional ACO didn't treat). In this research, I suggest technique about a new branch of CVS with consideration of not only a regular customer but also two kinds of flow visitors and take in influence between customers and charm degree in ACO.

Original languageEnglish
Pages (from-to)3115-3122
Number of pages8
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume73
Issue number11
Publication statusPublished - 2007 Nov
Externally publishedYes

Fingerprint

Ant colony optimization

Keywords

  • Ant Colony Optimization (ACO)
  • Charm degree
  • Customer
  • CVS
  • Service facility location problem

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

@article{bf01f9ab3c064a959ee787428041bc25,
title = "A study on commercial facility location problem by ant colony optimization (consideration of a customer characteristic and classifying by stratum of a customer)",
abstract = "CVS (Convenience Store) is increasing. And the number of the closing shops is increasing. Therefore I have to decide a better geographical convenience point to open a store newly. In a conventional research, It didn't treat all the customers. In this research, I treat all of customer, regular customer, general flow customer, a special flow customer. I consider that a general flow customer is affected by other customers. Therefore I use improved ACO. ACO is effective in TSP etc. Furthermore, I improve ACO to take the action that matched a customer characteristic ( = the charm degree that conventional ACO didn't treat). In this research, I suggest technique about a new branch of CVS with consideration of not only a regular customer but also two kinds of flow visitors and take in influence between customers and charm degree in ACO.",
keywords = "Ant Colony Optimization (ACO), Charm degree, Customer, CVS, Service facility location problem",
author = "Tsuyoshi Baba and Takako Sorimachi and Koichi Murakami and Kazuho Yoshimoto",
year = "2007",
month = "11",
language = "English",
volume = "73",
pages = "3115--3122",
journal = "Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C",
issn = "0387-5024",
publisher = "Japan Society of Mechanical Engineers",
number = "11",

}

TY - JOUR

T1 - A study on commercial facility location problem by ant colony optimization (consideration of a customer characteristic and classifying by stratum of a customer)

AU - Baba, Tsuyoshi

AU - Sorimachi, Takako

AU - Murakami, Koichi

AU - Yoshimoto, Kazuho

PY - 2007/11

Y1 - 2007/11

N2 - CVS (Convenience Store) is increasing. And the number of the closing shops is increasing. Therefore I have to decide a better geographical convenience point to open a store newly. In a conventional research, It didn't treat all the customers. In this research, I treat all of customer, regular customer, general flow customer, a special flow customer. I consider that a general flow customer is affected by other customers. Therefore I use improved ACO. ACO is effective in TSP etc. Furthermore, I improve ACO to take the action that matched a customer characteristic ( = the charm degree that conventional ACO didn't treat). In this research, I suggest technique about a new branch of CVS with consideration of not only a regular customer but also two kinds of flow visitors and take in influence between customers and charm degree in ACO.

AB - CVS (Convenience Store) is increasing. And the number of the closing shops is increasing. Therefore I have to decide a better geographical convenience point to open a store newly. In a conventional research, It didn't treat all the customers. In this research, I treat all of customer, regular customer, general flow customer, a special flow customer. I consider that a general flow customer is affected by other customers. Therefore I use improved ACO. ACO is effective in TSP etc. Furthermore, I improve ACO to take the action that matched a customer characteristic ( = the charm degree that conventional ACO didn't treat). In this research, I suggest technique about a new branch of CVS with consideration of not only a regular customer but also two kinds of flow visitors and take in influence between customers and charm degree in ACO.

KW - Ant Colony Optimization (ACO)

KW - Charm degree

KW - Customer

KW - CVS

KW - Service facility location problem

UR - http://www.scopus.com/inward/record.url?scp=39149115989&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=39149115989&partnerID=8YFLogxK

M3 - Article

VL - 73

SP - 3115

EP - 3122

JO - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

JF - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

SN - 0387-5024

IS - 11

ER -