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 language | English |
---|---|
Pages (from-to) | 3115-3122 |
Number of pages | 8 |
Journal | Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C |
Volume | 73 |
Issue number | 11 |
DOIs | |
Publication status | Published - 2007 Nov |
Externally published | Yes |
Keywords
- Ant Colony Optimization (ACO)
- CVS
- Charm degree
- Customer
- Service facility location problem
ASJC Scopus subject areas
- Mechanics of Materials
- Mechanical Engineering
- Industrial and Manufacturing Engineering