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HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège
MASTER THESIS
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A food restribution model for "la bourse aux dons"

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Lopez Ballen, Jimmy Alexander ULiège
Promotor(s) : Limbourg, Sabine ULiège
Date of defense : 4-Sep-2017/11-Sep-2017 • Permalink : http://hdl.handle.net/2268.2/3454
Details
Title : A food restribution model for "la bourse aux dons"
Author : Lopez Ballen, Jimmy Alexander ULiège
Date of defense  : 4-Sep-2017/11-Sep-2017
Advisor(s) : Limbourg, Sabine ULiège
Committee's member(s) : Pironet, Thierry ULiège
Mostert, Martine ULiège
Language : English
Number of pages : 98
Discipline(s) : Business & economic sciences > Production, distribution & supply chain management
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur de gestion, à finalité spécialisée en Supply Chain Management and Business Analytics
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] This master thesis addresses “La bourse aux dons” problematic about determining the minimum number of vehicles that it would need to acquire in order to satisfy the entire daily “potential donations”. Additionally “La bourse aux dons” wants to measures the environmental and social impact of the delivered surplus food (i.e., potential donations). In the view of the above, it was necessary to determine the transport model that reduces the total cost (fleet and transport cost) satisfying the entire daily potential donations. Therefore, a review on Vehicle Routing Problems (VRPs) and Pickup and Delivery Problems (PDPs) was carried out. The VRPPD was the model that suits best the problem. Then, a review of the VRP’s solution methods in the light of the requirements of “la bourse aux dons” was carried out. Hence, a Grouping genetic algorithm (GGA) was adapted to solve “La bourse aux dons” VRPPD. Furthermore a methodology to find the best GGA’s parameters was performed.

To determine the minimum vehicle fleet size that minimizes the total cost satisfying the entire daily potential donations, a methodology was established based on the solution of multiple random generated samples of the considered sets (20, 30, 50, 100 and 200 potential donations) by using the proposed GGA.

To determine the environmental impact of delivering a considered set, some the water and ecological footprint conversion factors available in the literature were used.

To determine the social impact of delivering a considered set, the number of daily-recommended portions using the considered sets, based on nutritional studies for Belgium.

Based on the discussions and some assumptions, the expected values of the minimum fleet size, economical, environmental and social impact of satisfying the entire daily potential donations were determined.


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Access MasterThesis_JimmyLopez.pdf
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Size: 13.65 MB
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Access GGA_VRPP_LaBourseAuxDons_JimmyLopez.ipynb
Description: Genetic Algorithm Heuristic programmed in Julia Language
Size: 161.87 kB
Format: Unknown

Author

  • Lopez Ballen, Jimmy Alexander ULiège Université de Liège > Master ingé. gest., à fin.

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  • Total number of views 8
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