Presentation 2023-03-16
Online Optimization of Pickup and Delivery Problem Considering Demand Forecasting
Ryo Matsuoka, Koichi Kobayashi, Yuh Yamashita,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Online pickup and delivery problem / Mixed integer linear programming problem / Fuel constraints / Demand forecasting
Paper # MSS2022-91,NLP2022-136
Date of Issue 2023-03-08 (MSS, NLP)

Conference Information
Committee NLP / MSS
Conference Date 2023/3/15(3days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akio Tsuneda(Kumamoto Univ.) / Atsuo Ozaki(Osaka Inst. of Tech.)
Vice Chair Hiroyuki Torikai(Hosei Univ.) / Shingo Yamaguchi(Yamaguchi Univ.)
Secretary Hiroyuki Torikai(Sojo Univ.) / Shingo Yamaguchi(Gifu Univ.)
Assistant Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) / Masato Shirai(Shimane Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Mathematical Systems Science and its Applications
Language JPN
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
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.)
Date 2023-03-16
Paper # MSS2022-91,NLP2022-136
Volume (vol) vol.122
Number (no) MSS-435,NLP-436
Page pp.pp.136-139(MSS), pp.136-139(NLP),
#Pages 4
Date of Issue 2023-03-08 (MSS, NLP)