Supply chain management: a modular Fuzzy Inference System approach in supplier selection for new product development
By Diego A. Carrera, R. Mayorga. 2008
115 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management
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In Management Information Systems
In Management Science and Operations Research
In Strategy and Management
Citations in the corpus
- (Preprint) (2018, background): “Fuzzy rules base: fuzzy ‘if–then’ (also called ‘antecedent-consequence’) rules are generated from the concept of the dominant rule of a data sample (Carrera and Mayorga, 2008).”
- Artificial intelligence in supply chain management: theory and applications (2010, background): “…SCM include: supplier performance evaluation (Lau et al. 2002); inventory cost control (Wang and Shu 2005); measurement of the bullwhip effect (Balan et al. 2007); agro-industry SC planning (Yandra et al. 2007); supplier selection (Carrera and Mayorga 2008); and order fulfillment (Amer et al. 2008).”
- A combined methodology for supplier selection and performance evaluation (2011, background): “Carrera and Mayorga (2008) proposed a Fuzzy Inference System (FIS) approach in supplier selection for new product development.”