Green Supplier Selection in Supply Chains: Application of the MEREC Method in the Maquiladora Industry

Authors

DOI:

https://doi.org/10.20983/culcyt.2026.1.2e.8

Keywords:

green suppliers, MCDM, corporate sustainability, supply chain

Abstract

In the current context, where corporate sustainability has become a critical factor for business competitiveness, the selection of green suppliers plays a pivotal role in the efficient and responsible management of supply chains. This research proposes a model based on multicriteria methods, such as MEREC, to evaluate and prioritize suppliers according to environmental, economic, and social criteria, thereby contributing to the strengthening of sustainable practices within the maquiladora industry. The primary objective of this study is to develop a decision-support model for green supplier selection in supply chains. The methodology includes an extensive review of the literature and the identification of relevant environmental criteria to prioritize suppliers that demonstrate greater environmental commitment, without compromising costs or delivery times. Preliminary results, obtained from a pilot study in the industrial sector of Ciudad Juárez, Chihuahua, Mexico, show that the model facilitates a pragmatic classification between sustainable and traditional suppliers, allowing for decisions aligned with corporate social responsibility and sustainability strategies.

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Author Biographies

Alejandra Holguín Avila, Universidad Autónoma de Ciudad Juárez

PhD student in Technology, Departamento de Ingeniería Industrial y Manufactura, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, México

Luis Asunción Pérez Domínguez, Universidad Autónoma de Ciudad Juárez

Professor-researcher, Departamento de Ingeniería Industrial y Manufactura, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, México

Roberto Romero Lopez, Universidad Autónoma de Ciudad Juárez

Professor-researcher,Departamento de Ingeniería Industrial y Manufactura, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, México

David Luviano Cruz, Universidad Autónoma de Ciudad Juárez

Professor-researcher, Departamento de Ingeniería Industrial y Manufactura, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, México

Erwin Adán Martínez Gómez, Universidad Autónoma de Ciudad Juárez

Professor-researcher, Departamento de Ingeniería Industrial y Manufactura, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, México

References

M. Keshavarz-Ghorabaee, M. Amiri, E. K. Zavadskas, Z. Turskis y J. Antucheviciene, “Determination of objective weights using a new method based on the removal effects of criteria (MEREC)”, Symmetry, vol. 13, n.º 4, p. 525, 2021, doi: 10.3390/sym13040525.

M. S. Saidin, L. S. Lee, S. M. Marjugi, M. Z. Ahmad y H.-V. Seow, “Fuzzy method based on the removal effects of criteria (MEREC) for determining objective weights in multi-criteria decision-making problems”, Mathematics, vol. 11, n.º 6, p. 1544, 2023, doi: 10.3390/math11061544.

A. Eydi y M. GholamAzad, “Proposing a new integrated MEREC‐NDEA algorithm for assessing and selecting the optimal sustainable suppliers: a case study”, Int. Trans. Oper. Res., vol. 33, pp. 2411-2440, 2024, doi: 10.1111/itor.13586.

P. Ghadimi, C. Wang, M. K. Lim y C. Heavey, “Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains”, Comput. Ind. Eng., vol. 127, pp. 588-600, 2019, doi: 10.1016/j.cie.2018.10.050.

N. Thi, N. Hong y D. X. Thao, “Evaluating the Impact of Weighting Methods on the Stability of Scores for Alternatives in Multi-Criteria Decision-Making Problems”, Eng. Technol. Appl. Sci. Res., vol. 15, n.º 1, pp. 19998-20004, 2025, doi: 10.48084/etasr.9518.

M. S. Saidin, L. S. Lee, S. M. Marjugi, M. Z. Ahmad y H.-V. Seow, “Fuzzy method based on the removal effects of criteria (MEREC) for determining objective weights in multi-criteria decision-making problems”, Mathematics, vol. 11, n.º 6, p. 1544, 2023, doi: 10.3390/math11061544.

G. Shanmugasundar, G. Sapkota, R. Čep y K. Kalita, “Application of MEREC in multi-criteria selection of optimal spray-painting robot”, Processes, vol. 10, n.º 6, p. 1172, 2022, doi: 10.3390/pr10061172.

P. Piedra , D. Galván, F. Y. Villamizar y F. R. Arencibia-Pardo, “Selección de proveedores con multicriterio basado en el método PROMHETEE y MEREC”, Mundo FESC, vol. 14, n.º 29, pp. 37-52, 2024, doi: 10.61799/2216-0388.1609.

S. Hashemkhani, “Objective weighting in MCDM: A comparative study of CRITIC, ITARA, MEREC, and beyond”, Decis. Mak. Artif. Intell. Trends, vol. 1, n.º 1, pp. 105-120, 2024.

E. K. Zavadskas, Z. Turskis y S. Kildienė, “State of art surveys of overviews on MCDM/MADM methods”, Technol. Econ. Dev. Econ., vol. 20, n.º 1, pp. 165-179, 2014, doi: 10.3846/20294913.2014.892037.

Published

2026-04-30

How to Cite

[1]
A. Holguín Avila, L. A. Pérez Domínguez, R. . Romero Lopez, D. . Luviano Cruz, and E. A. . Martínez Gómez, “Green Supplier Selection in Supply Chains: Application of the MEREC Method in the Maquiladora Industry”, Cult. Científ. y Tecnol., vol. 23, no. 1, pp. E84-E92, Apr. 2026.

Issue

Section

Ed. Esp. "Estrategia de Gestión para la Transición hacia una Economía Circular"