Gestão & Produção
https://gestaoeproducao.com/article/doi/10.1590/0104-530x-3565-19
Gestão & Produção
Artigo Original

Proposta de um modelo de avaliação e de seleção de fornecedores de manutenção industrial utilizando Fuzzy-TOPSIS

Supplier selection and evaluation model proposal for industrial maintenance based on Fuzzy-TOPSIS

Lucas Daniel Del Rosso Calache; Carolina Belotti Pedroso; Francisco Rodrigues Lima Junior; Luiz César Ribeiro Carpinetti

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Resumo

Resumo: A concorrência acirrada entre as cadeias de suprimento tem promovido a necessidade de melhores práticas de desenvolvimento e gestão de fornecedores por parte das empresas. O presente artigo busca propor um modelo de avaliação e seleção de fornecedores de manutenção industrial, através da aplicação de uma técnica de tomada de decisão multicritério a fim de categorizar as alternativas de fornecedores. A técnica Fuzzy-TOPSIS foi aplicada para avaliar os critérios referentes às dimensões de custos e confiabilidade dentro de uma matriz de categorização proposta. Realizou-se um estudo de caso em uma indústria sucroenergética, na qual o modelo de avaliação e seleção proposto foi aplicado para verificar as alternativas de manutenção para máquinas agrícolas. O resultado obtido culminou em uma ferramenta para auxiliar o processo de tomada de decisão considerando fontes internas e externas de manutenção. O modelo proposto pôde contribuir para a seleção dos fornecedores de manutenção industrial, uma vez que a avaliação realizada fornece subsídios para uma melhor tomada de decisão.

Palavras-chave

Avaliação de fornecedores, Seleção de fornecedores, Fuzzy-TOPSIS, Manutenção, Tomada de decisão multicritério

Abstract

Abstract: The stiff competition among supply chains has created the necessity of better supplier management and development practices. This paper purposes a model to evaluate and to select suppliers for industrial maintenance by applying a multi-criteria decision-making technique to categorize alternative suppliers. Fuzzy TOPSIS technique was applied to evaluate the criteria related to costs and reliability belonging to a proposed categorization matrix. A case study was carried out in a sugar-energy company, in which the proposed evaluation and selection model was applied to check the existing agricultural machinery maintenance alternatives. The results culminated in a tool to support the decision-making process, helping companies to decide whether to make their own maintenance or to outsource them. The proposed model can contribute to the selection of industrial maintenance suppliers since it provides background for better decision making.

Keywords

Supplier evaluation, Supplier selection, Fuzzy-TOPSIS, Maintenance, Multi-criteria decision making

Referências

Abdullah L. Fuzzy multi criteria decision making and its applications: a brief review of category. Procedia: Social and Behavioral Sciences. 2013;97:131-6.

Almeida A. T. Repair contract decision model through additive utility function. Journal of Quality in Maintenance Engineering. 2001;7(1):42-8.

Almeida A. T., Ferreira R. J. P., Cavalcante C. A. V. A review of the use of multicriteria and multi-objective models in maintenance and reliability. IMA Journal of Management Mathematics. 2015;26(3):249-71.

Arabzad S. M., Ghorbani M., Razmi J., Shirouyehzad H. Employing fuzzy TOPSIS and SWOT for supplier selection and order allocation problem. International Journal of Advanced Manufacturing Technology. 2015;76(5-8):803-18.

Bertolini M., Bevilacqua M., Braglia M., Frosolini M. An analytical method for maintenance outsourcing service selection. International Journal of Quality & Reliability Management. 2004;21(7):772-88.

Brito A. J., Almeida A. T., Mota C. M. A multicriteria model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating Utility Theory. European Journal of Operational Research. 2010;200(3):812-21.

Büyüközkan G., Arsenyan J. Supplier selection in an agile supply chain environment using fuzzy axiomatic design approach. IFAC Proceedings Volumes. 2009;42(4):840-5.

Çakır S. Selecting appropriate ERP software using integrated fuzzy linguistic preference relations-fuzzy TOPSIS method. International Journal of Computational Intelligence Systems. 2016;9(3):433-49.

Carnero M. C., Gómez A. A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations. BMC Medical Informatics and Decision Making. 2016;16(1):47.

Cavalcante C. A. V., Almeida A. T. D. Modelo multicritério de apoio a decisão para o planejamento de manutenção preventiva utilizando PROMETHEE II em situações de incerteza. Pesquisa Operacional. 2005;25(2):279-96.

Cavalcante V., Alexandre C., Pires Ferreira R. J., Almeida A. T. A preventive maintenance decision model based on multicriteria method PROMETHEE II integrated with Bayesian approach. IMA Journal of Management Mathematics. 2010;21(4):333-48.

Chen C. T. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems. 2000;114(1):1-9.

Chen C. T., Lin C. T., Huang S. F. A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics. 2006;102(2):289-301.

Dyer J. H., Nobeoka K. Creating and managing a high-performance knowledge-sharing network: the Toyota case. Strategic Management Journal. 2000;21(3):345-67.

Dyer J. H., Cho D. S., Cgu W. Strategic supplier segmentation: the next “best practice” in supply chain management. California Management Review. 1998;40(2):57-77.

Hayes R. H., Upton D., Pisano G. Produção, estratégia e tecnologia: em busca da vantagem competitiva. 2008.

He Y. H., Wang L. B., He Z. Z., Xie M. A fuzzy TOPSIS and rough set based approach for mechanism analysis of product infant failure. Engineering Applications of Artificial Intelligence. 2016;47:25-37.

Krause D. R., Handfield R. B., Scannell T. V. An empirical investigation of supplier development: reactive and strategic processes. Journal of Operations Management. 1998;17(1):39-58.

Kumar A., Agrawal V. P. Attribute based specification, comparison and selection of electroplating system using MADM approach. Expert Systems with Applications. 2009;36(8):10815-27.

Kuo R. J., Hsu C. W., Chen Y. L. Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers. International Journal of Environmental Science and Technology. 2015;12(12):3863-76.

Liker J. K., Choi T. Y. Building deep supplier relationships. Harvard Business Review. 2004;82(12):104-13.

Lima Jr. F. R., Carpinetti L. C. R. Uma comparação entre os métodos TOPSIS e Fuzzy-TOPSIS no apoio à tomada de decisão multicritério para seleção de fornecedores. Gestão & Produção. 2015;22(1):17-34.

Lima Jr. F. R., Carpinetti L. C. R. Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management. International Journal of Production Economics. 2016;174:128-41.

Lima Jr. F. R., Osiro L., Carpinetti L. C. R. A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules. Applied Soft Computing. 2013;13(10):4133-47.

Lima Jr. F. R., Osiro L., Carpinetti L. C. R. A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing. 2014;21:194-209.

Luxhøj J. T., Riis J. O., Thorsteinsson U. Trends and perspectives in industrial maintenance management. Journal of Manufacturing Systems. 1997;16(6):437-53.

Medjoudj R., Aissani D., Haim K. D. Power customer satisfaction and profitability analysis using multi-criteria decision making methods. International Journal of Electrical Power & Energy Systems. 2013;45(1):331-9.

Monte M. B., Almeida Fo A. T. A multicriteria approach using MAUT to assist the maintenance of a water supply system located in a low-income community. Water Resources Management. 2016;30(9):3093-106.

Osiro L., Lima Jr. F. R., Carpinetti L. C. R. A fuzzy logic approach to supplier evaluation for development. International Journal of Production Economics. 2014;153:95-112.

Pardha Saradhi B., Shankar N. R., Suryanarayana C. Novel distance measure in fuzzy TOPSIS for supply chain strategy based supplier selection. Mathematical Problems in Engineering. 2016;2016:1-17.

Picanto A. R. S., Risso L. A., Silva A., Simões V. H. F. Balanced Scorecard para o controle e gestão de indicadores de manutenção industrial. 2014.

Sangaiah A. K., Subramaniam P. R., Zheng X. A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors. Neural Computing & Applications. 2015;26(5):1025-40.

Sellitto M. A. Formulação estratégica da manutenção industrial com base na confiabilidade dos equipamentos. Revista Produção. 2005;15(1):44-59.

Shafiee M. Maintenance strategy selection problem: an MCDM overview. Journal of Quality in Maintenance Engineering. 2015;21(4):378-402.

Shyjith K., Ilangkumaran M., Kumanan S. Multi-criteria decision-making approach to evaluate optimum maintenance strategy in textile industry. Journal of Quality in Maintenance Engineering. 2008;14(4):375-86.

Srivastava P. W., Mittal N. Optimum multi-objective ramp-stress accelerated life test with stress upper bound for Burr type-XII distribution. IEEE Transactions on Reliability. 2012;61(4):1030-8.

Tanaka H., Tsukao S., Yamashita D., Niimura T., Yokoyama R. Multiple criteria assessment of substation conditions by pair-wise comparison of analytic hierarchy process. IEEE Transactions on Power Delivery. 2010;25(4):3017-23.

Tsang A. H. Strategic dimensions of maintenance management. Journal of Quality in Maintenance Engineering. 2002;8(1):7-39.

Uysal F., Tosun Ö. Fuzzy TOPSIS-based computerized maintenance management system selection. Journal of Manufacturing Technology Management. 2012;23(2):212-28.

Wang Q., Lv H. Supplier selection group decision making in logistics service value cocreation based on intuitionistic fuzzy sets. Discrete Dynamics in Nature and Society. 2015;2015:1-10.

Wood D. A. Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting. Journal of Natural Gas Science and Engineering. 2016;28:594-612.

Zadeh L. Communication Fuzzy algorithms. Information and Control. 1968;12(2):94-102.

Zadeh L. A. Fuzzy sets. Fuzzy sets, fuzzy logic, and fuzzy systems. 1996:394-432.

Zimmermann H. J. Fuzzy set theory. Wiley Interdisciplinary Reviews: Computational Statistics. 2010;2(3):317-32.

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