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Supplier performance management: study of multicriteria techniques and artificial intelligence for group decision

Grant number: 16/14618-4
Support type:Regular Research Grants
Duration: February 01, 2017 - July 31, 2019
Field of knowledge:Engineering - Production Engineering - Production Management
Principal researcher:Luiz Cesar Ribeiro Carpinetti
Grantee:Luiz Cesar Ribeiro Carpinetti
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Assoc. researchers: Luciana Hazin Alencar

Abstract

Managing suppliers in supply chains includes decision processes in which decisions should be taken by multiple decision makers who judge about criteria, suppliers, strategies, among other actions. Disagreement in judgments by the decision makers can lead to inconsistencies of the decision process and therefore needs to be dealt with. Group decision is a well stablished research stream operations research as well as in artificial intelligence. Although multicriteria techniques are well explored by countless studies, group decision techniques are much less applied to supplier selection and management. Therefore, the objective of this research project is the proposition of decision processes applied to supplier management and based on multicriteria and artificial intelligence techniques for group decision, criteria weight elicitation and classification. This main objective is deployed in several research targets, as detailed in section 1.3. This research project is related to the research project INCT - INSID - National Institute of Decision and Information System, specifically with the research line on "decision models applied to service systems". The focus of application of the proposed models will be the automotive and consumer goods industries due their characteristics. The research project development comprises conceptual and computational modelling and field research. It is aimed to contribute to increase research integrating operations management and decision support techniques; in the long run, it aims to contribute to improve the practices in the companies. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
OSIRO, LAURO; LIMA-JUNIOR, FRANCISCO RODRIGUES; RIBEIRO CARPINETTI, LUIZ CESAR. A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics. JOURNAL OF CLEANER PRODUCTION, v. 183, p. 964-978, . (16/14618-4)
GALO, NADYA REGINA; DEL ROSSO CALACHE, LUCAS DANIEL; RIBEIRO CARPINETTI, LUIZ CESAR. A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, v. 202, p. 182-196, . (16/14618-4)
LUCAS DANIEL DEL ROSSO CALACHE; CAROLINA BELOTTI PEDROSO; FRANCISCO RODRIGUES LIMA JUNIOR; LUIZ CÉSAR RIBEIRO CARPINETTI. Proposta de um modelo de avaliação e de seleção de fornecedores de manutenção industrial utilizando Fuzzy-TOPSIS. Gestão & Produção, v. 26, n. 2, . (16/18807-6, 16/14618-4)
LIMA-JUNIOR, FRANCISCO RODRIGUES; RIBEIRO CARPINETTI, LUIZ CESAR. Predicting supply chain performance based on SCOR (R) metrics and multilayer perceptron neural networks. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, v. 212, p. 19-38, . (16/14618-4)
LIMA-JUNIOR, FRANCISCO RODRIGUES; RIBEIRO CARPINETTI, LUIZ CESAR. An adaptive network-based fuzzy inference system to supply chain performance evaluation based on SCOR (R) metrics. COMPUTERS & INDUSTRIAL ENGINEERING, v. 139, . (16/14618-4)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.