Issue |
MATEC Web Conf.
Volume 296, 2019
2019 7th International Conference on Traffic and Logistic Engineering (ICTLE 2019)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 5 | |
Section | Logistics Engineering | |
DOI | https://doi.org/10.1051/matecconf/201929602005 | |
Published online | 22 October 2019 |
An Approach to Develop the Sustainable Warehousing Assessment Model
University of Szczecin, Faculty of Management and Economics of Services, Cukrowa 8, 71-004 Szczecin, Poland
a Corresponding author: magdalena.malinowska1@usz.edu.pl
The aim of the art icle is to present an approach to define the set of criteria applied to create the sustainable warehousing assessment model. The criteria were ident ified on the basis of expert analysis and the literature review includin g the scient ific approach as well as standards applied for the purpose of assessing the level of sustainable bui ldin gs. It allowed to include in the proposed model the broad spect rum of factors, which affect the warehousing sustainabi lity in economic, social and environmental aspect . As a solut ion ut ilized for the purpose of sustainable warehousing assessment model creat ion the COMET method (characterist ic object method) was applied. This const itutes the basis for applying the fuzzy set theory to propose the characterist ic of each criteria used for the assessment.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.