Last mile delivery in a city without cars, alternatives of transport and challenges for a last mile delivery in congested cities: analysis the case of proximus
Shahbazi, Darien
Promotor(s) : Bay, Maud
Date of defense : 19-Jun-2020/23-Jun-2020 • Permalink : http://hdl.handle.net/2268.2/8973
Details
Title : | Last mile delivery in a city without cars, alternatives of transport and challenges for a last mile delivery in congested cities: analysis the case of proximus |
Translated title : | [fr] Last Mile Delivery dans une ville sans voitures, alternatives de transport et challenges pour une livraison du dernier kilomètre dans les villes congestionnées: Analyse du cas de Proximus. |
Author : | Shahbazi, Darien |
Date of defense : | 19-Jun-2020/23-Jun-2020 |
Advisor(s) : | Bay, Maud |
Committee's member(s) : | Arda, Yasemin
Lietard, Laurent |
Language : | English |
Number of pages : | 116 |
Keywords : | [en] Bike Delivery [en] City Logistics [en] Congestion [en] Green Logistics [en] Last Mile Delivery [en] Delivery opitons [en] Multi-objectives Vehicle Rooting Problem [en] Reverse Logistics |
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] Last Mile delivery represents a particularly complex part of the process of the Supply Chain for a company. It can be described as a multi-objectives problem dealing with environment, cost, congestion, implementation and social impact. All of them should be considered on the process of delivery of a company. Especially in urban city-centres, with the growth of e- commerce, the concept of delivery must change in order to fit the needs of tomorrow. In collaboration with Proximus, this thesis aims to find alternatives of the current delivery method.
File(s)
Document(s)
S150957Shahbazi2020.pdf
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Size: 4.99 MB
Format: Adobe PDF
Description:
Size: 4.99 MB
Format: Adobe PDF
Annexe(s)
SolverBruxelles.xlsm
Description:
Size: 456.62 kB
Format: Microsoft Excel
Description:
Size: 456.62 kB
Format: Microsoft Excel
SolverLiege.xlsm
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Size: 390.9 kB
Format: Microsoft Excel
Description:
Size: 390.9 kB
Format: Microsoft Excel
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