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博士後期課程の合同セミナーのお知らせ【H30-B-010】

Last Update : 2018-07-05 15:08

合同セミナー【H30-B-010】
Advanced Seminar of Specialization 【H30-B-010】

「 Stochastic last-mile delivery with crowdshipping 」

博士後期課程在学生 各位
To Doctoral Course Students

博士後期課程の合同セミナーのお知らせです。合同セミナー番号は次のとおりです。

Information of an Advanced Seminar of Specialization of doctoral course students, a seminar number is as follows,

合同セミナー番号【H30-B-010】

なお、品川地区は、学務部教務課大学院係(講義棟1階)のカウンター、越中島地区は、1号館事務室の掲示板前、の合同セミナーのバインダーに、それぞれ綴っております。
There is a file of the Advanced Seminar of Specialization as follows,
Shinagawa Campus: Graduate School Section
Etchujima Campus: Front of the bulletin board of the Administration Division

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「 Stochastic last-mile delivery with crowdshipping 」

日時:2018年8月24日 14:00 - 17:00
Date:24 August, 2018. PM 14:00 - 17:00

場所:越中島キャンパス 2号館5階 流通経営ゼミ室
Venue:Logistics Management seminar room, 5nd Floor, No. 2 Building in Etchujima Campus


題目Title:Stochastic last-mile delivery with crowdshipping

講演者speaker: ジョン・ペドロ・ペドロソ
João Pedro Pedroso. A.Professo
Faculdade de Ciências da Universidade do Porto.

内容 Abstract:
Sustainability concerns and the growth of e-commerce in recent years put pressure on companies dealing with last-mile delivery -- the last stage of the supply chain, where a parcel is delivered to the final consumer -- to develop new business models, for addressing issues in traffic congestion and pollution emission and still achieve fast, cheap and reliable delivery to customers.

One innovative proposal, associated to the "shared economy", puts its foundations in a new delivery model where a professional delivery fleet is supplemented partially or fully with crowdshipping. The main idea of crowdshipping is to involve in the delivery of packages people who are otherwise unrelated to the company. In return, these casual couriers are offered a small compensation. The concept has been discussed, with two main models emerging: Wal-Mart and AmazonFlex. These models differ in the following: in AmazonFlex drivers have to pick up packages from stations and deliver them to customers; while Wal-Mart's model uses in-store customers to drop off packages for online customers on their route back home. This latter policy is much more aligned with the objectives of reducing traffic congestion and emissions, and will be dealt with in this work.

Most research done in this area concerns same-day delivery, performed by casual couriers (CC) and a professional fleet (PF) in the following way: if some packages remain not assigned to CCs, they must be delivered by the PF. Hence, society benefits from reducing the number of freight vehicles, companies reduce their total delivery costs, and CCs receive a recompense. A company's objective is to minimize the total delivery cost, i.e., the cost associated with delivery using the PF added to the compensation paid to the CCs.

Current models for vehicle routing problem with casual couriers consider a compensation scheme for the couriers where a certain amount is offered for a given task, assuming that CCs will accept that amount and execute the job. A more realistic model must consider some randomness in this process. Several facts should be taken into account: (i) there are no guarantees that a CC will accept the task proposed; (ii) it is likely that the probability of accepting a task increases with the amount offered; (iii) the optimum amount to be offered for a given task depends on the costs incurred by the company, hence depending on the current vehicles' route.

The aim of this work is to tackle the vehicle routing problem with casual carriers with a stochastic approach. We informally describe the model, propose a heuristic method, and delineate a prototype implementation for a dynamic compensation scheme in a last-mile delivery system with crowdshipping.

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担当教員:(教授 流通情報工学部門)久保幹雄
問合せ:kubo@kaiyodai.ac.jp

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