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Title:

Models for Food Rescue and Delivery: Routing and Resource Allocation Problem
Cover of Models for Food Rescue and Delivery: Routing and Resource Allocation Problem

Accession Number:

01590742

Record Type:

Component

Abstract:

Food rescue and delivery program helps to alleviate hunger by rescuing the unspoiled surplus food that would have otherwise found its way to landfill, and distributing it to people in need. This is a large scale collection, distribution and inventory management problem and is challenged by numerous operational issues. The gap between the food recovered (supply) and the delivery request (demand) have increased the attention on the effective and the equitable allocation of rescued food. The rescue and the delivery of food surplus should meet several criteria such as minimising routing costs and waste as well as ensuring an equitable distribution of the resources collected among welfare agencies. Specifically, the traditional cost minimising approach in pickup and delivery operations focuses mainly on efficient routing, and may lead to an inequitable distribution of the rescued food. In this paper, the authors propose two additional objective functions designed to promote their social interest, fair and equitable resource allocation within the food rescue program: maximize the total satisfaction of delivery customers (welfare agencies) and maximize the satisfaction of the least satisfied delivery customer. Both objectives are combined with the traditional transportation cost minimization to provide balanced solutions. They explore the behaviour and the performance of the proposed models as well as the satisfaction of the welfare agencies and the structure of the obtained routes. They compare the ability of the proposed models to enhance the equitable distribution of rescued food without losing sight of the transportation costs.

Supplemental Notes:

This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-2584

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Nair, Divya J
Rey, David
Dixit, Vinayak
Valenta, Troy

Pagination:

16p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-2584

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:08PM