|
Digital
Library of the European Council for Modelling
and Simulation |
Title: |
Using Multi Criteria
Decision-Making (MCMD) For Green Supplier Selection |
Authors: |
Walailak
Atthirawong |
Published in: |
(2019). ECMS 2019
Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo,
Massimo Ficco, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2019 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 33rd International ECMS Conference on
Modelling and Simulation,
Caserta, Italy, June 11th – June 14th, 2019 |
Citation
format: |
Walailak Atthirawong (2019). Using Multi Criteria Decision-Making (MCMD) For Green Supplier Selection, ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco European Council for Modeling and Simulation. doi: 10.7148/2019-0330 |
DOI: |
https://doi.org/10.7148/2019-0330 |
Abstract: |
At present,
the level of consciousness and awareness about environmental problems are
increasingly internationally concerned from society businesses and
governments globally. A number of organizations have begun paying greater
attention to diminish the harmful impact of business activities in terms of
production, consumption and purchasing behavior which
may affect the environment.
Despite environmental concern, numerous consumers are willing to pay
more for environmental benefits. Supplier selection process is a key role which helps the business to be success in a global
arena. The appropriate supplier selection is one of the most important issues
for any organization which affecting the total supply chain performance and
the quality of final product. Thus, this paper proposes an approach for
evaluation and ranking suppliers. In particular, the main focus of this study
is to incorporate environmental responsibility requirements into supplier
selection. An illustrate example in a cosmetic and beauty community
enterprise was conducted to implement how to select the most suitable
supplier using TOPSIS method. A set of criteria and sub-criteria were
identified from a real case company. The decision was made on the basis of
observation of three suppliers with four criteria and ten sub-criteria. The
main contribution of this study provides a noteworthy tool to help decision
makers in the selection process and reduce the subjective bias to some
extent. |
Full
text: |