| 58222 |
Creator |
346e7c250ea1e999b0ae8be85c1ce8c6 |
| 58222 |
Creator |
ext-141c2689bde188c12544e3340bccddcb |
| 58222 |
Creator |
deeff5c2acde520c317c0ceaf72e59ad |
| 58222 |
Creator |
ext-7df98ef13d0921768f011fffbd91da06 |
| 58222 |
Date |
2019 |
| 58222 |
Date |
2019-01 |
| 58222 |
Is Part Of |
repository |
| 58222 |
Is Part Of |
p03608352 |
| 58222 |
abstract |
Sustainable supply chain management has received much attention from both academia
and industry due to various issues such as economic stability, environment conservation,
and social ethics. To improve the sustainable performance of a value chain, its members
need to carefully select their suppliers in relation to their own strategy. Thus,
an effective tool for sustainable supplier selection and evaluation is essential,
which considers the triple bottom line (TBL) of economic, environmental and social
aspects by means of criteria adapted to the situation analysed. This paper develops
a fuzzy decision tool to evaluate the sustainable performance of suppliers according
to TBL. Sustainability criteria are identified to take into account the real hotspots
in a food value chain. The proposed model integrates triangular fuzzy numbers (TFN),
AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity
to Ideal Solution) in a novel way to consider quantitative and qualitative criteria
as well as objective and subjective data. This is missing in most existing research
when building their fuzzy models for supplier selection, but critical in dealing with
the heterogeneous data available for TBL assessment. The application in a sustainable
agrifood value chain illustrates the effectiveness of the proposed tool. |
| 58222 |
authorList |
authors |
| 58222 |
status |
peerReviewed |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/724053 |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/724062 |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/724075 |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/724076 |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/724077 |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/724078 |
| 58222 |
uri |
http://data.open.ac.uk/oro/document/727671 |
| 58222 |
volume |
127 |
| 58222 |
type |
AcademicArticle |
| 58222 |
type |
Article |
| 58222 |
label |
Liu, Yan ; Eckert, Claudia ; Yannou-Le Bris, Gwenola and Petit, Gaëlle (2019).
A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood
value chain. Computers & Industrial Engineering (Early Access). |
| 58222 |
label |
Liu, Yan ; Eckert, Claudia ; Yannou-Le Bris, Gwenola and Petit, Gaëlle (2019).
A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood
value chain. Computers & Industrial Engineering, 127 pp. 196–212. |
| 58222 |
label |
Liu, Yan ; Eckert, Claudia ; Yannou-Le Bris, Gwenola and Petit, Gaëlle (2019). A
fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood
value chain. Computers & Industrial Engineering, 127 pp. 196–212. |
| 58222 |
Title |
A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood
value chain |
| 58222 |
in dataset |
oro |