A sectoral perspective on distribution structure design

Journal Article (2020)
Author(s)

A.T.C. Onstein (Hogeschool van Amsterdam, TU Delft - Transport and Logistics)

Lóránt Tavasszy (TU Delft - Transport and Planning, TU Delft - Transport and Logistics)

J Rezaei (TU Delft - Transport and Logistics)

Dick A. van Damme (Hogeschool van Amsterdam)

Adeline Heitz (Consevatoire National des Arts et métiers)

Research Group
Transport and Logistics
Copyright
© 2020 A.T.C. Onstein, Lorant Tavasszy, J. Rezaei, Dick A. van Damme, Adeline Heitz
DOI related publication
https://doi.org/10.1080/13675567.2020.1849074
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 A.T.C. Onstein, Lorant Tavasszy, J. Rezaei, Dick A. van Damme, Adeline Heitz
Research Group
Transport and Logistics
Issue number
6
Volume number
25
Pages (from-to)
1011-1039
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper studies the factors that drive distribution structure design (DSD), which includes the spatial layout of distribution channels and location choice of logistics facilities. We build on a generic framework from existing literature, which we validate and elaborate using interviews among industry practitioners. Empirical evidence was collected from 18 logistics experts and 33 decision-makers affiliated to shippers and logistics service providers from the fashion, consumer electronics and online retail sectors. It turns out that interviewees share similar rankings of main factors across industries, and even confirm factor weights from earlier research established using multi-criteria decision analysis, which would indicate that the framework is sector-neutral at the highest level. The importance attached to subfactors varies between sectors according to our expectations. We were able to identify 20 possible new influencing subfactors. The results may support managers in their decision-making process, and regional policy-makers with regard to spatial planning and regional marketing. The framework is a basis for researchers to help improve further quantitative DSD support models.