A fuzzy AHP approach to select suppliers in the Brazilian food supply chain
| Autor: | Eliciane Maria da Silva, Francisco Rodrigues Lima-Júnior, Mayra Oliveira Ramos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Food security
Operations research Multicriteria decision-making method Computer science Process (engineering) media_common.quotation_subject 05 social sciences Manufactures 02 engineering and technology Food company Industrial and Manufacturing Engineering TS1-2301 Food chain Chain (algebraic topology) Originality Food supply 0502 economics and business 0202 electrical engineering electronic engineering information engineering Hybrid method 020201 artificial intelligence & image processing Supplier selection 050203 business & management Fuzzy ahp media_common |
| Zdroj: | Production, Volume: 30, Article number: e20200013, Published: 30 NOV 2020 Production v.30 2020 Production Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO Redalyc Production, Vol 30 (2020) |
| Popis: | Paper aims This research proposes to apply the Fuzzy Analytical Hierarchy Process method for the supplier’s selection in a Brazilian food company. Originality It is the first time that food security has been incorporated as a first-level criterion in a process of selecting suppliers in a Brazilian food chain. Research method Practical application was carried out in a food company located in Brazil. Main findings Safety is the most important criteria when selecting a supplier, which ended up reflecting the placement of Supplier 3 as the best rated. Implications for theory and practice This research provides the first practical application of a hybrid mathematical technique in the process of selecting suppliers in a Brazilian food chain, evaluating the Food Security criterion on an equal basis with the others, and not as a sub criterion. The model can help managers better understand their suppliers' capabilities and performance. |
| Databáze: | OpenAIRE |
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