title
  

Rich vehicle routing: A data-driven heuristic application for a logistics company

Warning The system is temporarily closed to updates for reporting purpose.

Çavuş, Mustafa Salih (2019) Rich vehicle routing: A data-driven heuristic application for a logistics company. [Thesis]

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2242Kb

Official URL: http://risc01.sabanciuniv.edu/record=b2297007 (Table of contents)

Abstract

Changing online shopping behaviors have resulted in the emergence of different product and services that aim high customer satisfaction. In this thesis, we develop an alternative approach to solve problem of a logistics company, which operates solely for e-commerce transactions, using an Adaptive Large Neighborhood Search (ALNS) heuristic. To understand the nature of the distribution system and for the development of the solution procedure, we create, preprocess and analyze a dataset constructed from company’s database that is used for daily operations. The proposed solution provides a prioritization mechanism for the deliveries based on certain specifications related to deliveries. To evaluate the performance of the proposed ALNS, we perform computational experiments using scenarios with real-life instances extracted from the dataset. Our results show that, the proposed ALNS can produce solutions with high quality regarding customer satisfaction

Item Type:Thesis
Uncontrolled Keywords:E-Commerce logistics -- Customer satisfaction. -- routing. -- ALNS heuristic. -- GIS. -- E-Ticaret lojistiği. -- Müşteri memnuniyeti. -- Rotalama. -- ALNS Sezgisel Yöntemi.
Subjects:H Social Sciences > HD Industries. Land use. Labor
ID Code:39115
Deposited By:IC-Cataloging
Deposited On:26 Aug 2019 13:21
Last Modified:26 Aug 2019 13:21

Repository Staff Only: item control page