| Paper Abstract and Keywords |
| Presentation |
2023-03-16 16:05
Online Optimization of Pickup and Delivery Problem Considering Demand Forecasting Ryo Matsuoka, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2022-91 NLP2022-136 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we consider an online pickup and delivery problem. Online optimization is to solve the pickup and delivery problem at a certain sampling time and update the route. The delivery area is modeled as an undirected graph. We consider the problem in which demand forecasting is taken into account under the constraints on the delivery of goods. This problem is reduced to a mixed integer linear programming (MILP) problem. By solving the MILP problem at a time-varying interval, we can realize optimal delivery when the number of orders changes rapidly with time. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Online pickup and delivery problem / Mixed integer linear programming problem / Fuel constraints / Demand forecasting / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 435, MSS2022-91, pp. 136-139, March 2023. |
| Paper # |
MSS2022-91 |
| Date of Issue |
2023-03-08 (MSS, NLP) |
| 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 |
MSS2022-91 NLP2022-136 |
| Conference Information |
| Committee |
NLP MSS |
| Conference Date |
2023-03-15 - 2023-03-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MSS |
| Conference Code |
2023-03-NLP-MSS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Online Optimization of Pickup and Delivery Problem Considering Demand Forecasting |
| Sub Title (in English) |
|
| Keyword(1) |
Online pickup and delivery problem |
| Keyword(2) |
Mixed integer linear programming problem |
| Keyword(3) |
Fuel constraints |
| Keyword(4) |
Demand forecasting |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Ryo Matsuoka |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Koichi Kobayashi |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Yuh Yamashita |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-16 16:05:00 |
| Presentation Time |
20 minutes |
| Registration for |
MSS |
| Paper # |
MSS2022-91, NLP2022-136 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.435(MSS), no.436(NLP) |
| Page |
pp.136-139 |
| #Pages |
4 |
| Date of Issue |
2023-03-08 (MSS, NLP) |