Name
Title | ||
|---|---|---|
An adaptive network-based fuzzy inference system to supply chain performance evaluation based on SCOR® metrics |
Abstract | ||
|---|---|---|
•It proposes a performance evaluation system based on ANFIS and SCOR® metrics.•The ANFIS tunes the topological parameters using historical performance data.•It helps managers to identify gaps between expected and achieved performance.•It is appropriate to deal with imprecise values and uncertain variables. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cie.2019.106191 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Supply chain performance evaluation,SCOR® model,ANFIS,Neuro-fuzzy systems,Supply chain management | Interpretability,Mathematical optimization,Mean squared error,Network topology,Supply chain,Artificial intelligence,Adaptive neuro fuzzy inference system,Engineering,Artificial neural network,Statistical hypothesis testing,Machine learning,Supply-chain operations reference | Journal |
Volume | ISSN | Citations |
139 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Rodrigues Lima Junior | 1 | 98 | 4.09 |
| Luiz Cesar Ribeiro Carpinetti | 2 | 0 | 0.34 |