Production
https://prod.org.br/article/doi/10.1590/0103-6513.20200013
Production
Research Article

A fuzzy AHP approach to select suppliers in the Brazilian food supply chain

Mayra Oliveira Ramos; Eliciane Maria da Silva; Francisco Rodrigues Lima-Júnior

Downloads: 0
Views: 50

Abstract

Abstract: 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.

Keywords

Multicriteria decision-making method, Hybrid method, Food company, Supplier selection

References

Agência Nacional de Vigilância Sanitária – ANVISA. (2020). Boas práticas de fabricação: serviços de alimentos, regularização de empresas: alimentos. Retrieved in 2020, August 27, from http://portal.anvisa.gov.br/registros-e-autorizacoes/alimentos/empresas/boas-praticas-de-fabricacao

Ahumada, O., Rene Villalobos, J., & Nicholas Mason, A. (2012). Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural Systems, 112, 17-26. http://dx.doi.org/10.1016/j.agsy.2012.06.002.

Aissaoui, N., Haouari, M., & Hassini, E. (2007). Supplier selection and order lot sizing modeling: a review. Computers & Operations Research, 34(12), 3516-3540. http://dx.doi.org/10.1016/j.cor.2006.01.016.

Alexander, A., Kumar, M., & Walker, H. (2018). A decision theory perspective on complexity in performance measurement and management. International Journal of Operations & Production Management, 38(11), 2214-2244. http://dx.doi.org/10.1108/IJOPM-10-2016-0632.

Ali, M. H., Tan, K. H., & Ismail, M. D. (2017). A supply chain integrity framework for halal food. British Food Journal, 119(1), 20-38. http://dx.doi.org/10.1108/BFJ-07-2016-0345.

Almeida, N. M., Sousa, V., Dias, L. A., & Branco, F. (2015). Engineering risk management in performance-based building environments. Journal of Civil Engineering and Management, 21(2), 218-230. http://dx.doi.org/10.3846/13923730.2013.802740.

Amorim, P., Curcio, E., Almada-Lobo, B., Barbosa-Póvoa, A. P. F. D., & Grossmann, I. E. (2016). Supplier selection in the processed food industry under uncertainty. European Journal of Operational Research, 252(3), 801-814. http://dx.doi.org/10.1016/j.ejor.2016.02.005.

Araújo, M. C. B., & Alencar, L. H. (2015). Integrated model for supplier selection and performance evaluation. South African Journal of Industrial Engineering, 26(2), 41-55. http://dx.doi.org/10.7166/26-2-880.

Araújo, M. C. B., Alencar, L. H., & Viana, J. C. (2015). Structuring a model for supplier selection. Management Research Review, 38(11), 1-22. http://dx.doi.org/10.1108/MRR-04-2014-0076.

Arisseto-Bragotto, A. P., Feltes, M. M. C., & Block, J. M. (2017). Food quality and safety progress in the Brazilian food and beverage industry: chemical hazards. Food Quality and Safety, 1(2), 117-129. http://dx.doi.org/10.1093/fqsafe/fyx009.

Associação Brasileira da Indústria de Alimentos – ABIA. (2020) Relatório anual 2019. Retrieved in 2020, August 27, from https://www.abia.org.br/vsn/temp/z202055RelatorioAnual2019.pdf

Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117. http://dx.doi.org/10.1016/j.ijpe.2017.10.013.

Azadnia, A. H., Saman, M. Z. M., & Wong, K. Y. (2015). Sustainable supplier selection and order lot-sizing: An integrated multi-objective decision-making process. International Journal of Production Research, 53(2), 383-408. http://dx.doi.org/10.1080/00207543.2014.935827.

Bai, L., Li, Y., Du, Q., & Xu, Y. (2017). A fuzzy comprehensive evaluation model for sustainability risk evaluation of PPP projects. Sustainability, 9(10), 1890. http://dx.doi.org/10.3390/su9101890.

Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: a case study from the agri-food industry. Computers and Operations Research, 89, 337-347. http://dx.doi.org/10.1016/j.cor.2016.02.015.

Brasil, Agência Nacional de Vigilância Sanitária – ANVISA. (2004, September 15). Regulamento técnico de boas práticas para serviços de alimentação (Resolução RDC nº 216, de 15 de setembro de 2004). Diário Oficial da República Federativa do Brasil..

Bulut, E., Duru, O., Keçeci, T., & Yoshida, S. (2012). Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: a process model for shipping asset management. Expert Systems with Applications, 39(2), 1911-1923. http://dx.doi.org/10.1016/j.eswa.2011.08.056.

Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: a systematic review of literature. Expert Systems with Applications, 40(10), 3872-3885. http://dx.doi.org/10.1016/j.eswa.2012.12.040.

Chang, B., & Hung, H. F. (2010). A study of using RST to create the supplier selection model and decision-making rules. Expert Systems with Applications, 37(12), 8284-8295. http://dx.doi.org/10.1016/j.eswa.2010.05.056.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655. http://dx.doi.org/10.1016/0377-2217(95)00300-2.

Cobo, A., Rocha, E. R., & Villamizar, M. A. (2019). Innovative propensity with a fuzzy multicriteria approach: analysis of the Spanish industrial sector with data mining techniques. Management Decision, 57(11), 2940-2957. http://dx.doi.org/10.1108/MD-10-2017-0954.

Djekic, I., Skunca, D., Nastasijevic, I., Tomovic, V., & Tomasevic, I. (2015). Transformation of quality aspects throughout the chicken meat supply chain. British Food Journal, 120(5), 1132-1150. http://dx.doi.org/10.1108/BFJ-08-2017-0432.

Ekici, A. (2013). An improved model for supplier selection under capacity constraint and multiple criteria. International Journal of Production Economics, 141(2), 574-581. http://dx.doi.org/10.1016/j.ijpe.2012.09.013.

Font-i-Furnols, M., & Guerrero, L. (2014). Consumer preference, behavior and perception about meat and meat products: an overview. Meat Science, 98(3), 361-371. http://dx.doi.org/10.1016/j.meatsci.2014.06.025. PMid:25017317.

Freitas, A., Salgado, E. G., & Sousa Lira, J. M. (2020). Selection of suppliers in the green supply chain: case study with multi-criteria decision. International Journal of Qualitative Research, 14(1), 51-64. http://dx.doi.org/10.24874/IJQR14.01-04.

Frej, E. A., Roselli, L. R. P., Araújo de Almeida, J., & de Almeida, A. T. (2017). A multicriteria decision model for supplier selection in a food industry based on FITradeoff method. Mathematical Problems in Engineering, 2017, 1-9. http://dx.doi.org/10.1155/2017/4541914.

Galuchi, T. P. D., Rosales, F. P., & Batalha, M. O. (2019). Management of socioenvironmental factors of reputational risk in the beef supply chain in the Brazilian Amazon region. The International Food and Agribusiness Management Review, 22(2), 155-171. http://dx.doi.org/10.22434/IFAMR2018.0004.

Ganguly, K. K., & Guin, K. K. (2013). A fuzzy AHP approach for inbound supply risk assessment. Benchmarking, 20(1), 129-146. http://dx.doi.org/10.1108/14635771311299524.

Govindan, K., & Cheng, T. C. E. (2018). Advances in stochastic programming and robust optimization for supply chain planning. Computers & Operations Research, 100, 262-269. http://dx.doi.org/10.1016/j.cor.2018.07.027.

Govindan, K., Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2014). Impact of supply chain management practices on sustainability. Journal of Cleaner Production, 85, 212-225. http://dx.doi.org/10.1016/j.jclepro.2014.05.068.

Govindan, K., Kadziński, M., & Sivakumar, R. (2017). Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega, 71, 129-145. http://dx.doi.org/10.1016/j.omega.2016.10.004.

Govindan, K., Khodaverdi, R., & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345-354. http://dx.doi.org/10.1016/j.jclepro.2012.04.014.

Hashim, M., Nazam, M., Yao, L., Ahmad Baig, S., Abrar, M., & Zia-ur-Rehman, M. (2017). Application of multi-objective optimization based on genetic algorithm for sustainable strategic supplier selection under fuzzy environment. Journal of Industrial Engineering and Management, 10(2), 188-212. http://dx.doi.org/10.3926/jiem.2078.

Hatami-Marbini, A., Agrell, P. J., Tavana, M., & Khoshnevis, P. (2017). A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing. Journal of Cleaner Production, 142, 2761-2779. http://dx.doi.org/10.1016/j.jclepro.2016.10.192.

Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. European Journal of Operational Research, 202(1), 16-24. http://dx.doi.org/10.1016/j.ejor.2009.05.009.

Jafarzadeh Ghoushchi, S., Khazaeili, M., Amini, A., & Osgooei, E. (2019). Multi-criteria sustainable supplier selection using piecewise linear value function and fuzzy best-worst method. Journal of Intelligent & Fuzzy Systems, 37(2), 2309-2325. http://dx.doi.org/10.3233/JIFS-182609.

Jakhar, S. K. (2015). Performance evaluation and a flow allocation decision model for a sustainable supply chain of an apparel industry. Journal of Cleaner Production, 87(1), 391-413. http://dx.doi.org/10.1016/j.jclepro.2014.09.089.

Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy axiomatic design approach based green supplier selection: a case study from Singapore. Journal of Cleaner Production, 96, 194-208. http://dx.doi.org/10.1016/j.jclepro.2013.12.076.

Kannan, D., Jabbour, A. B. L. S., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: using Fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research, 233(2), 432-447. http://dx.doi.org/10.1016/j.ejor.2013.07.023.

Kaviani, M. A., Peykam, A., Khan, S. A., Brahimi, N., & Niknam, R. (2020). A new weighted fuzzy programming model for supplier selection and order allocation in the food industry. Journal of Modelling in Management, 15(2), 381-406. http://dx.doi.org/10.1108/JM2-11-2018-0191.

Keramydas, C., Papapanagiotou, K., Vlachos, D., & Iakovou, E. (2016). Risk management for agri-food supply chains. In E. Iakovou, D. Bochtis, D. Vlachos & D. Aidonis (Eds.), Supply chain management for sustainable food networks. Chichester: John Wiley & Sons. http://dx.doi.org/10.1002/9781118937495.ch10.

Khan, S., Khan, M. I., Haleem, A., & Jami, A. R. (2019). Prioritising the risks in Halal food supply chain: an MCDM approach. Journal of Islamic Marketing. In press. http://dx.doi.org/10.1108/JIMA-10-2018-0206.

Kilincci, O., & Onal, S. A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38(8), 9656-9664. http://dx.doi.org/10.1016/j.eswa.2011.01.159.

Liao, C.-N. (2012). Applying fuzzy-MSGP approach for supplier evaluation and selection in food industry. African Journal of Agricultural Research, 7(5). http://dx.doi.org/10.5897/ajarx11.088.

Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2013). Multicriteria decision methods for supplier selection: a literature review on the state of the art. Gestão & Produção, 20(4), 781-801. http://dx.doi.org/10.1590/S0104-530X2013005000005.

Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209. http://dx.doi.org/10.1016/j.asoc.2014.03.014.

Lima-Junior, F. R., & Carpinetti, L. C. R. (2016). Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management. International Journal of Production Economics, 174, 128-141. http://dx.doi.org/10.1016/j.ijpe.2016.01.023.

Lin, P. C., & Wu, L. S. (2011). How supermarket chains in Taiwan select suppliers of fresh fruit and vegetables via direct purchasing. Service Industries Journal, 31(8), 1237-1255. http://dx.doi.org/10.1080/02642060903437568.

Liu, H. C., Liu, L., Liu, N., & Mao, L.-X. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39(17), 12926-12934. http://dx.doi.org/10.1016/j.eswa.2012.05.031.

Liu, H., Wei, X., Wang, Z., Geng, L., & Li, C. (2017). Experimental investigation of performance effect of working parameters on bi-evaporator compression /ejection refrigeration system. New York: American Society of Mechanical Engineers. http://dx.doi.org/10.1115/POWER-ICOPE2017-3198.

Liu, Y., Eckert, C., Yannou-Le Bris, G., & Petit, G. (2019). A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain. Computers & Industrial Engineering, 127, 196-212. http://dx.doi.org/10.1016/j.cie.2018.12.022.

Lu, L. Y. Y., Wu, C. H., & Kuo, T. C. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45(18-19), 4317-4331. http://dx.doi.org/10.1080/00207540701472694.

Magdalena, R. (2012). Supplier selection for food industry: a combination of taguchi loss function and fuzzy analytical hierarchy process. The Asian Journal of Technology Management, 5(1), 13-22.

Magdalena, R., Dias, S. P., & Ginting, A. P. (2020). Allocation of maltodextrin raw material orders by Fuzzy Analytic Network Process (FANP) and Goal Programming Methods (Study Case: PT. Neopangan Selaras Indonesia). IOP Conference Series. Materials Science and Engineering, 847(1), 012016. http://dx.doi.org/10.1088/1757-899X/847/1/012016.

Marucheck, A., Greis, N., Mena, C., & Cai, L. (2011). Product safety and security in the global supply chain: Issues, challenges and research opportunities. Journal of Operations Management, 29(7-8), 707-720. http://dx.doi.org/10.1016/j.jom.2011.06.007.

Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). ‘Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. International Journal of Advanced Manufacturing Technology, 91(5–8), 2401-2418. http://dx.doi.org/10.1007/s00170-016-9880-x.

Nakandala, D., Lau, H., & Zhao, L. (2017). Development of a hybrid fresh food supply chain risk assessment model. International Journal of Production Research, 55(14), 4180-4195. http://dx.doi.org/10.1080/00207543.2016.1267413.

Oztaysi, B. (2014). ‘A decision model for information technology selection using AHP integrated TOPSIS-Grey: the case of content management systems. Knowledge-Based Systems, 70, 44-54. http://dx.doi.org/10.1016/j.knosys.2014.02.010.

Parthiban, P., Abdul Zubar, H., & Katakar, P. (2013). Vendor selection problem: a multi-criteria approach based on strategic decisions. International Journal of Production Research, 51(5), 1535-1548. http://dx.doi.org/10.1080/00207543.2012.709644.

Pasek, Z. J. (2011). Assessing inter-organizational dynamics of manufacturing service supply contracts. In S. Jain, R. Creasey & J. Himmelspach (Eds.), Proceedings of the 2011 Winter Simulation Conference (WSC) (pp. 659-670). New York: IEEE. http://dx.doi.org/10.1109/WSC.2011.6147794.

Pereira, S. C. F., Scarpin, M. R. S., & Ferreira Neto, J. (2020). Agri-food risks and mitigations: a case study of the Brazilian mango. Production Planning and Control. In press. http://dx.doi.org/10.1080/09537287.2020.1796134.

Prusak, A., Stefanów, P., Niewczas, M., & Sikora, T. (2013). Application of the AHP in evaluation and selection of suppliers Research motives and objectives. In Proceedings of the 57th EOQ Congress Quality Renaissance: Co-creating a Viable Future (pp. 1-8). Tallinn, Estonia.

Pungchompoo, S., & Sopadang, A. (2015). Confirmation and evaluation of performance measurement model for the Thai frozen shrimp chain. Business Process Management Journal, 21(4), 837-856. http://dx.doi.org/10.1108/BPMJ-06-2014-0053.

Rathore, R., Thakkar, J. J., & Jha, J. K. (2017). A quantitative risk assessment methodology and evaluation of food supply chain. International Journal of Logistics Management, 28(4), 1272-1293. http://dx.doi.org/10.1108/IJLM-08-2016-0198.

Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach. Journal of Cleaner Production, 175, 651-669. http://dx.doi.org/10.1016/j.jclepro.2017.12.071.

Ruoning, X., & Xiaoyan, Z. (1992). Extensions of the analytic hierarchy process in fuzzy environment. Fuzzy Sets and Systems, 52(3), 251-257. http://dx.doi.org/10.1016/0165-0114(92)90236-W.

Saaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161-176. http://dx.doi.org/10.1016/0270-0255(87)90473-8.

Sarkis, J., & Dhavale, D. G. (2015). Supplier selection for sustainable operations: a triple-bottom-line approach using a Bayesian framework. International Journal of Production Economics, 166, 177-191. http://dx.doi.org/10.1016/j.ijpe.2014.11.007.

Sen, D. K., Datta, S., & Mahapatra, S. S. (2016). A TODIM-based decision support framework for G-resilient supplier selection in fuzzy environment. Asia-Pacific Journal of Operational Research, 33(5), 1650033. http://dx.doi.org/10.1142/S0217595916500330.

Sepúlveda, W. S., Maza, M. T., & Pardos, L. (2011). Aspects of quality related to the consumption and production of lamb meat: consumers versus producers. Meat Science, 87(4), 366-372. http://dx.doi.org/10.1016/j.meatsci.2010.11.013. PMid:21167649.

Silva, E. M., Ramos, M. O., Alexander, A., & Jabbour, C. J. C. (2020). A systematic review of empirical and normative decision analysis of sustainability-related supplier risk management. Journal of Cleaner Production, 244, 118808. http://dx.doi.org/10.1016/j.jclepro.2019.118808.

Souliotis, A., Kotsalis, A., & Bosku, G. (2017). Benchmarking between vegetable suppliers in Greece. Benchmarking: An International Journal, 24(6), 1-31.

Spisso, B. F., Nóbrega, A. W., & Marques, M. A. (2009). Resíduos e contaminantes químicos em alimentos de origem animal no Brasil: histórico, legislação e atuação da vigilância sanitária e demais sistemas regulatórios. Ciencia & Saude Coletiva, 14(6), 2091-2106. http://dx.doi.org/10.1590/S1413-81232009000600016. PMid:20069177.

Voss, M. D., Closs, D. J., Calantone, R. J., Helferich, O. K., & Speier, C. (2009). The role of security in the food supplier selection decision. Journal of Business Logistics, 30(1), 127-155. http://dx.doi.org/10.1002/j.2158-1592.2009.tb00102.x.

Wang, C. N., Tsai, H.-T., Nguyen, V. T., Nguyen, V. T., & Huang, Y.-F. (2020). A hybrid fuzzy analytic hierarchy process and the technique for order of preference by similarity to ideal solution supplier evaluation and selection in the food processing industry. Symmetry, 12(2), 211. http://dx.doi.org/10.3390/sym12020211.

Wang, W. P. (2010). A fuzzy linguistic computing approach to supplier evaluation. Applied Mathematical Modelling, 34(10), 3130-3141. http://dx.doi.org/10.1016/j.apm.2010.02.002.

Xiao, Z., & Chen, W. (2010). A partner selection method based on risk evaluation using fuzzy soft set theory in supply chain. In D. Wu, M. Z. Xu, Z. J. Zhang & Y. Fang (Eds.), Proceedings of the 1st International Conference on Sustainable Construction & Risk Management (Vol. I-II, pp. 317-323). China: UAPRESS.

Zadeh, L.A. (1965). Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst. Man Cybernet, 3(1973), 28–44.

Zimmer, K., Fröhling, M., Breun, P., & Schultmann, F. (2017). Assessing social risks of global supply chains: a quantitative analytical approach and its application to supplier selection in the German automotive industry. Journal of Cleaner Production, 149, 96-109. http://dx.doi.org/10.1016/j.jclepro.2017.02.041.
 


Submitted date:
02/10/2020

Accepted date:
10/08/2020

5fc4e9e90e8825576c09966c production Articles
Links & Downloads

Production

Share this page
Page Sections