Selección y evaluación de proveedores de logística externa en la cadena de suministro: una revisión sistemática
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Publicado
10-12-2020
Rafael Granillo-Macías
Isidro J. González-Hernández
Resumen
A nivel mundial se estima que más del 85% de las principales empresas utilizan servicios logísticos externos, con tasas de crecimiento de este mercado de servicios proyectadas entre el 18 y 22% por año. Esta tendencia ha generado un creciente interés en los investigadores de la cadena de suministro por proponer diferentes enfoques para la selección y evaluación del desempeño de los proveedores de logística externa (3PL). En este artículo se propone una revisión sistemática analizando una muestra de artículos publicados en revistas indexadas con el objetivo de identificar las principales contribuciones sobre este tema. Este estudio muestra que la evaluación y selección de un 3PL es una decisión crítica y compleja, debido a la existencia de varios criterios de base imprecisa y subjetiva. Como resultado, se presentan características metodológicas, enfoques utilizados, modelos aplicados, atributos de las revistas e industrias que utilizan proveedores de logística externa. El costo, las tecnologías de la información implementadas por los proveedores de logística y la efectividad en los envíos y entregas a tiempo, son los criterios más valorados por las empresas para la evaluación y selección de 3PL. Los resultados de este estudio sirven a apoyo a los investigadores, como referencia que permite identificar algunas posibilidades para futuras investigaciones en el campo de los proveedores que ofertan servicios de logística externa, impulsando la competitividad en la cadena de suministro.
Cómo citar
Granillo-Macías, R., & González-Hernández, I. J. (2020). Selección y evaluación de proveedores de logística externa en la cadena de suministro: una revisión sistemática. Cuadernos De Gestión, 21(2), 7–18. https://doi.org/10.5295/cdg.191141rg
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Keywords
logística, cadena de suministro, proveedores, selección, evaluación, 3PL
References
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Aguezzoul, A. and Pires, S., 2016. 3PL performance evaluation and selection: a MCDM method. Supply Chain Forum: An International
Journal, 17(2), 87-94. DOI: 10.1080/16258312.2016.1176302.
APICS, 2011. Operations Management Body of Knowledge Framework. APICS The Association for Operations Management. Third Edition. Chicago, USA.
Armstrong & Associates, Inc., 2017. Global logistics costs and third-party logistics revenues. Disponible en http://www.3plogistics.
com/3pl-market-info-resources/3pl-market-information/global-3pl-market-size-estimates/ [Acceso 10 abril 2019]
Azadi, M. y Saen, R.F., 2011. A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors. Expert systems with applications, 38(10), 12231-12236. DOI: 10.1016/j.eswa.2011.04.001.
Bramer, W, M., Rethlefsen, M,L., Kleijnen, J. and Franco, O.H., 2017. Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study. Systematic Reviews, 6, 1-12. DOI: 10.1186/s13643-017-0644-y.
Hwang, B.N., Chen, T.T. and Lin, J.T., 2016. 3PL selection criteria in integrated circuit manufacturing industry in Taiwan. Supply Chain
Management: An International Journal, 21(1), 103-124.
Bianchini, A., 2018. 3PL provider selection by AHP and TOPSIS methodology. Benchmarking: An International Journal, 25(1), 235-252.
DOI: 10.1108/BIJ-08-2016-0125.
Çelebi, D., Bayraktar, D. and Dingol, L., 2010. Analytical network process for logistics management: a case study in a small electronic
appliances manufacturer. Computers and industrial engineering, 58(3), 432-441. DOI: 10.1016/j.cie.2009.09.002.
Chen, C., Pai, P. and Hung, W., 2010. An integrated methodology using linguistic promethee and maximum deviation method for third-party logistics supplier selection. International journal of computational intelligence systems, 3(4), 438-451. DOI: 10.2991/ijcis.2010.3.4.4.
Dubey, R., Gunasekaran, A., Childe, S. J. and Papadopoulos, T., 2018. Skills needed in supply chain-human agency and social capital
analysis in third party logistics. Management Decision, 56 (1), 143-159. DOI:10.1108/MD-04-2017-0428.
Evangelista, P., Santoro, L. and Thomas, A., 2018. Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016. Sustainability, 10(5), 1627-1640. DOI: 10.3390/su10051627.
Falsini, D., Fondi, F. and Schiraldi, M., 2012. A logistics provider evaluation and selection methodology based on AHP, DEA and Linear
Programming integration. International journal of production research, 50(17), 4822-4829. DOI: 10.1080/00207543.2012.657969.
Ghorabaee, M., Amiri, M., Zavadskas, E. and Antuchevičienė, J., 2017. Assessment of third-party logistics providers using a CRITIC–
WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66–78. DOI:10.3846/16484142.2017.1282381.
Gong, F., Kung, D. and Zeng, T., 2018. The impact of different contract structures on IT investment in logistics outsourcing. International Journal of Production Economics, 195, 158–167. DOI: 10.1016/j.ijpe.2017.10.009.
Marchet, G., Melacini, M., Sassi, C. and Tappia, E., 2017. Assessing efficiency and innovation in the 3PL industry: an empirical analysis.
International Journal of Logistics Research and Applications, 20(1), 53-72. DOI: 10.1080/13675567.2016.1226789.
Marasco, A., 2008. Third-party logistics: A literature review. International journal of production economics, 113(1), 127-147. DOI:
10.1016/j.ijpe.2007.05.017.
Göl, H., and Çatay, B., 2007. Third party logistics provider selection: Insights from Turkish automobile company. Supply Chain
Management: An International Journal, 12(6), 379–384. DOI: 10.1108/13598540710826290.
Haldar, A., Qamaruddin, U., Raut, R., Kamble, S., Manoj, G. and Sheetal, J., 2017. 3PL evaluation and selection using integrated analytical modeling. Journal of Modelling in Management, 12(2), 224-242. DOI: 10.1108/JM2-04-2015-0016.
Ilgin, M. A., 2017. An integrated methodology for the used product selection problem faced by third-party reverse logistics providers. International Journal of Sustainable Engineering, 10(6), 399-410. DOI: 10.1080/19397038.2017.1317873.
Işikla, G., Alptekin, E. and Buyukozkan, G., 2007. Application of a hybrid intelligent decision support model in logistics outsourcing. Computers and operations research, 34(12), 3701-3714. DOI: 10.1016/j.cor.2006.01.011.
Jayaram, J., and Tan, K., 2010. Supply chain integration with third-party logistics providers. International Journal of production economics, 125(2), 262-271. DOI: 10.1016/j.ijpe.2010.02.014
Jung, H., 2017. Evaluation of Third Party Logistics Providers Considering Social Sustainability. Sustainability, 9, 777-788. DOI: 10.3390/
su9050777.
Govindan, K., Khodaverdi, R., and Vafadarnikjoo, A., 2016. A grey DEMATEL approach to develop third-party logistics provider selection criteria. Industrial Management and Data Systems, 116 (4), 690-722. DOI: 10.1108/IMDS-05-2015-0180.
Langley, J. and Capgemini, C., 2020. 2017 24st Annual Third-Party Logistics Study. Disponible en: https://www.infosysconsultinginsights. com/insights/3pl/ [Acceso 10 Febrero 2020]
Leuschner, R., Craig C., Thomas, G. and Zachary, R., 2014. Third-party logistics: a meta-analytic review and investigation of its impact
on performance. Journal of supply chain management, 50(1), 21-43. DOI: 10.1111/jscm.12046.
Li, F., Ling, L., Chenxia, J., Ruijiang, W., Hong, W and Yang, L., 2012., A 3pl supplier selection model based on fuzzy sets. Computers and Operations research, 39(8), 1879-1884. DOI: 10.1016/j.cor.2011.06.022.
Liu, H. and Wang, W., 2009. An integrated fuzzy approach for provider evaluation and selection in third-party logistics. Expert systems with applications, 36(3), 4387-4398. DOI: 10.1016/j.eswa.2008.05.030.
Momeni, E., Azadi, M. and Saen, R.F., 2015. Measuring the efficiency of third party reverse logistics provider in supply chain by multi objective additive network DEA model, International Journal of Shipping and Transport Logistics, 7(1), 21-41. DOI: 10.1504/IJSTL.2015.065893.
Perçin, S. and Min, H., 2013. A hybrid quality function deployment and fuzzy decision-making methodology for the optimal selection of third-party logistics service providers. International journal of logistics-research and applications, 16(5), 380-397. DOI: 10.1080/13675567.2013.815696.
Raut, R., Kharat, M., Kamble, S. and Kumar, C.S., 2018. Sustainable evaluation and selection of potential third-party logistics (3PL) providers: An integrated MCDM approach. Benchmarking: An International Journal, 25 (1), 76-97. DOI: 10.1108/BIJ-05-2016-0065
Ramírez-Flórez, G., Tabares-Urrea, N. and Osorio-Gómez, J.C., 2017. Fuzzy AHP for 3PL supplier’s performance evaluation considering
risk. Revista de la Facultad de Ingeniería, 26 (45), 165-172.
Sahu, N., Datta, S. and Mahapatra, S. S., 2015. Fuzzy based appraisement module for 3PL evaluation and selection. Benchmarking an international journal, 22(3), 354-392. DOI: 10.1108/BIJ-01-2013-0002.
Sen, D. K., Datta, S. and Mahapatra, S.S., 2017. Decision support framework for selection of 3PL service providers: dominance-based
approach in combination with grey set theory. International journal of information technology and decision making, 16(1), 25-57. DOI:
10.1142/S0219622016500474.
Singh, R.K., Gunasekaran, A. and Kumar, P., 2017. Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Annals of Operations Research, 267(1), 531-553. DOI: 10.1007/s10479-017-2591-3.
Soh, S., 2010. A decision model for evaluating third-party logistics providers using fuzzy analytic hierarchy process. African Journal of Business Management, 4(3), 339-349.
Tsamboulas, D. and Kapros, S., 2000. Decision-making process in intermodal transportation. Freight transportation research: freight
transportation (multimodal).
Wang, J., Wang, M., Liu F., and Chen, H., 2015. Multistakeholder strategic third-party logistics provider selection: a real case in china.
Transportation journal, 54(3), 312-338. DOI: 10.5325/transportationj.54.3.0312.
Wong, J., 2012. DSS for 3PL provider selection in global supply chain: combining the multi-objective optimization model with experts
opinions. Journal of intelligent manufacturing, 23(3), 599-614. DOI: 10.1007/s10845-010-0398-z.
Wolf, C. and Seuring, S., 2010. Environmental impacts as buying criteria for third party logistical services. International journal of physical distribution and logistics management, 40(1-2), 84-102. DOI: 10.1108/09600031011020377.
Yan, J., Chaudhry, P. and Chaudhry, S., 2003. A model of a decision support system based on case-based reasoning for third-party logistics evaluation. Expert systems, 20(4), 196-207. DOI: 10.1111/1468-0394.00244.
Yang, X., 2014. Status of Third Party Logistics – A Comprehensive Review. Journal of Logistics Management, 3(1), 17-20. DOI: 10.5923/j.
logistics.20140301.03.
Yayla, A. Y., Oztekin A., Gumus A. T. y Gunasekaran A., 2015. A hybrid data analytic methodology for 3PL transportation provider
evaluation using fuzzy multi-criteria decision making. International Journal of production research, 53(20), 6097-6113. DOI:
10.1080/00207543.2015.1022266.
Zhang, H., LI X., and Liu W., 2006. An AHP/DEA methodology for 3pl vendor selection in 4PL. Computer supported cooperative work in
design, 38, 646-655. DOI: 10.1007/11686699_65
Aguezzoul, A. and Pires, S., 2016. 3PL performance evaluation and selection: a MCDM method. Supply Chain Forum: An International
Journal, 17(2), 87-94. DOI: 10.1080/16258312.2016.1176302.
APICS, 2011. Operations Management Body of Knowledge Framework. APICS The Association for Operations Management. Third Edition. Chicago, USA.
Armstrong & Associates, Inc., 2017. Global logistics costs and third-party logistics revenues. Disponible en http://www.3plogistics.
com/3pl-market-info-resources/3pl-market-information/global-3pl-market-size-estimates/ [Acceso 10 abril 2019]
Azadi, M. y Saen, R.F., 2011. A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors. Expert systems with applications, 38(10), 12231-12236. DOI: 10.1016/j.eswa.2011.04.001.
Bramer, W, M., Rethlefsen, M,L., Kleijnen, J. and Franco, O.H., 2017. Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study. Systematic Reviews, 6, 1-12. DOI: 10.1186/s13643-017-0644-y.
Hwang, B.N., Chen, T.T. and Lin, J.T., 2016. 3PL selection criteria in integrated circuit manufacturing industry in Taiwan. Supply Chain
Management: An International Journal, 21(1), 103-124.
Bianchini, A., 2018. 3PL provider selection by AHP and TOPSIS methodology. Benchmarking: An International Journal, 25(1), 235-252.
DOI: 10.1108/BIJ-08-2016-0125.
Çelebi, D., Bayraktar, D. and Dingol, L., 2010. Analytical network process for logistics management: a case study in a small electronic
appliances manufacturer. Computers and industrial engineering, 58(3), 432-441. DOI: 10.1016/j.cie.2009.09.002.
Chen, C., Pai, P. and Hung, W., 2010. An integrated methodology using linguistic promethee and maximum deviation method for third-party logistics supplier selection. International journal of computational intelligence systems, 3(4), 438-451. DOI: 10.2991/ijcis.2010.3.4.4.
Dubey, R., Gunasekaran, A., Childe, S. J. and Papadopoulos, T., 2018. Skills needed in supply chain-human agency and social capital
analysis in third party logistics. Management Decision, 56 (1), 143-159. DOI:10.1108/MD-04-2017-0428.
Evangelista, P., Santoro, L. and Thomas, A., 2018. Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016. Sustainability, 10(5), 1627-1640. DOI: 10.3390/su10051627.
Falsini, D., Fondi, F. and Schiraldi, M., 2012. A logistics provider evaluation and selection methodology based on AHP, DEA and Linear
Programming integration. International journal of production research, 50(17), 4822-4829. DOI: 10.1080/00207543.2012.657969.
Ghorabaee, M., Amiri, M., Zavadskas, E. and Antuchevičienė, J., 2017. Assessment of third-party logistics providers using a CRITIC–
WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66–78. DOI:10.3846/16484142.2017.1282381.
Gong, F., Kung, D. and Zeng, T., 2018. The impact of different contract structures on IT investment in logistics outsourcing. International Journal of Production Economics, 195, 158–167. DOI: 10.1016/j.ijpe.2017.10.009.
Marchet, G., Melacini, M., Sassi, C. and Tappia, E., 2017. Assessing efficiency and innovation in the 3PL industry: an empirical analysis.
International Journal of Logistics Research and Applications, 20(1), 53-72. DOI: 10.1080/13675567.2016.1226789.
Marasco, A., 2008. Third-party logistics: A literature review. International journal of production economics, 113(1), 127-147. DOI:
10.1016/j.ijpe.2007.05.017.
Göl, H., and Çatay, B., 2007. Third party logistics provider selection: Insights from Turkish automobile company. Supply Chain
Management: An International Journal, 12(6), 379–384. DOI: 10.1108/13598540710826290.
Haldar, A., Qamaruddin, U., Raut, R., Kamble, S., Manoj, G. and Sheetal, J., 2017. 3PL evaluation and selection using integrated analytical modeling. Journal of Modelling in Management, 12(2), 224-242. DOI: 10.1108/JM2-04-2015-0016.
Ilgin, M. A., 2017. An integrated methodology for the used product selection problem faced by third-party reverse logistics providers. International Journal of Sustainable Engineering, 10(6), 399-410. DOI: 10.1080/19397038.2017.1317873.
Işikla, G., Alptekin, E. and Buyukozkan, G., 2007. Application of a hybrid intelligent decision support model in logistics outsourcing. Computers and operations research, 34(12), 3701-3714. DOI: 10.1016/j.cor.2006.01.011.
Jayaram, J., and Tan, K., 2010. Supply chain integration with third-party logistics providers. International Journal of production economics, 125(2), 262-271. DOI: 10.1016/j.ijpe.2010.02.014
Jung, H., 2017. Evaluation of Third Party Logistics Providers Considering Social Sustainability. Sustainability, 9, 777-788. DOI: 10.3390/
su9050777.
Govindan, K., Khodaverdi, R., and Vafadarnikjoo, A., 2016. A grey DEMATEL approach to develop third-party logistics provider selection criteria. Industrial Management and Data Systems, 116 (4), 690-722. DOI: 10.1108/IMDS-05-2015-0180.
Langley, J. and Capgemini, C., 2020. 2017 24st Annual Third-Party Logistics Study. Disponible en: https://www.infosysconsultinginsights. com/insights/3pl/ [Acceso 10 Febrero 2020]
Leuschner, R., Craig C., Thomas, G. and Zachary, R., 2014. Third-party logistics: a meta-analytic review and investigation of its impact
on performance. Journal of supply chain management, 50(1), 21-43. DOI: 10.1111/jscm.12046.
Li, F., Ling, L., Chenxia, J., Ruijiang, W., Hong, W and Yang, L., 2012., A 3pl supplier selection model based on fuzzy sets. Computers and Operations research, 39(8), 1879-1884. DOI: 10.1016/j.cor.2011.06.022.
Liu, H. and Wang, W., 2009. An integrated fuzzy approach for provider evaluation and selection in third-party logistics. Expert systems with applications, 36(3), 4387-4398. DOI: 10.1016/j.eswa.2008.05.030.
Momeni, E., Azadi, M. and Saen, R.F., 2015. Measuring the efficiency of third party reverse logistics provider in supply chain by multi objective additive network DEA model, International Journal of Shipping and Transport Logistics, 7(1), 21-41. DOI: 10.1504/IJSTL.2015.065893.
Perçin, S. and Min, H., 2013. A hybrid quality function deployment and fuzzy decision-making methodology for the optimal selection of third-party logistics service providers. International journal of logistics-research and applications, 16(5), 380-397. DOI: 10.1080/13675567.2013.815696.
Raut, R., Kharat, M., Kamble, S. and Kumar, C.S., 2018. Sustainable evaluation and selection of potential third-party logistics (3PL) providers: An integrated MCDM approach. Benchmarking: An International Journal, 25 (1), 76-97. DOI: 10.1108/BIJ-05-2016-0065
Ramírez-Flórez, G., Tabares-Urrea, N. and Osorio-Gómez, J.C., 2017. Fuzzy AHP for 3PL supplier’s performance evaluation considering
risk. Revista de la Facultad de Ingeniería, 26 (45), 165-172.
Sahu, N., Datta, S. and Mahapatra, S. S., 2015. Fuzzy based appraisement module for 3PL evaluation and selection. Benchmarking an international journal, 22(3), 354-392. DOI: 10.1108/BIJ-01-2013-0002.
Sen, D. K., Datta, S. and Mahapatra, S.S., 2017. Decision support framework for selection of 3PL service providers: dominance-based
approach in combination with grey set theory. International journal of information technology and decision making, 16(1), 25-57. DOI:
10.1142/S0219622016500474.
Singh, R.K., Gunasekaran, A. and Kumar, P., 2017. Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Annals of Operations Research, 267(1), 531-553. DOI: 10.1007/s10479-017-2591-3.
Soh, S., 2010. A decision model for evaluating third-party logistics providers using fuzzy analytic hierarchy process. African Journal of Business Management, 4(3), 339-349.
Tsamboulas, D. and Kapros, S., 2000. Decision-making process in intermodal transportation. Freight transportation research: freight
transportation (multimodal).
Wang, J., Wang, M., Liu F., and Chen, H., 2015. Multistakeholder strategic third-party logistics provider selection: a real case in china.
Transportation journal, 54(3), 312-338. DOI: 10.5325/transportationj.54.3.0312.
Wong, J., 2012. DSS for 3PL provider selection in global supply chain: combining the multi-objective optimization model with experts
opinions. Journal of intelligent manufacturing, 23(3), 599-614. DOI: 10.1007/s10845-010-0398-z.
Wolf, C. and Seuring, S., 2010. Environmental impacts as buying criteria for third party logistical services. International journal of physical distribution and logistics management, 40(1-2), 84-102. DOI: 10.1108/09600031011020377.
Yan, J., Chaudhry, P. and Chaudhry, S., 2003. A model of a decision support system based on case-based reasoning for third-party logistics evaluation. Expert systems, 20(4), 196-207. DOI: 10.1111/1468-0394.00244.
Yang, X., 2014. Status of Third Party Logistics – A Comprehensive Review. Journal of Logistics Management, 3(1), 17-20. DOI: 10.5923/j.
logistics.20140301.03.
Yayla, A. Y., Oztekin A., Gumus A. T. y Gunasekaran A., 2015. A hybrid data analytic methodology for 3PL transportation provider
evaluation using fuzzy multi-criteria decision making. International Journal of production research, 53(20), 6097-6113. DOI:
10.1080/00207543.2015.1022266.
Zhang, H., LI X., and Liu W., 2006. An AHP/DEA methodology for 3pl vendor selection in 4PL. Computer supported cooperative work in
design, 38, 646-655. DOI: 10.1007/11686699_65
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