| Paper Abstract and Keywords |
| Presentation |
2018-07-02 13:25
Influence on price and inventory strategy of competing retailers by distance between stores Naoya Ogata, Toshiharu Sugawara (Waseda Univ.) AI2018-6 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this research, genetic algorithm and multi agent simulation are integrated to learn pricing strategy and inventory strategy in order to maximize the profit of each retailer on the premise of a market where multiple retailers compete. In particular, by considering the distance between retailers and the distance between consumers and retail stores, we analyze the influence of distance on price and inventory of products at each retail store. Experimental results showed that considering distance, regional nature occurs in price strategy and inventory strategy. Especially, in areas where many retail stores are gathering, it was found that low price and low the number of inventory are good. And, lowering the number of inventory of products with high unit price is good. Also, in areas where retailers are not gathering, we found that higher prices can be tolerated. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
multi agent / retailer / genetic algorithm / distance / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 118, no. 116, AI2018-6, pp. 29-34, July 2018. |
| Paper # |
AI2018-6 |
| Date of Issue |
2018-06-25 (AI) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
AI2018-6 |
| Conference Information |
| Committee |
AI |
| Conference Date |
2018-07-02 - 2018-07-02 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
AI |
| Conference Code |
2018-07-AI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Influence on price and inventory strategy of competing retailers by distance between stores |
| Sub Title (in English) |
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| Keyword(1) |
multi agent |
| Keyword(2) |
retailer |
| Keyword(3) |
genetic algorithm |
| Keyword(4) |
distance |
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| 1st Author's Name |
Naoya Ogata |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.) |
| 2nd Author's Name |
Toshiharu Sugawara |
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Waseda University (Waseda Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2018-07-02 13:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
AI |
| Paper # |
AI2018-6 |
| Volume (vol) |
vol.118 |
| Number (no) |
no.116 |
| Page |
pp.29-34 |
| #Pages |
6 |
| Date of Issue |
2018-06-25 (AI) |