inis 23(3): e4

Research Article

Multi-objective optimization model for sustainable production planning in textile MSMEs

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  • @ARTICLE{10.4108/eetinis.v10i3.3752,
        author={Pablo Flores-Siguenza and Jose Antonio Marmolejo-Saucedo and Rodrigo Guam\^{a}n},
        title={Multi-objective optimization model for sustainable production planning in textile MSMEs},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        keywords={Sustainable Production Planning, MSMEs, Textile Industry, Multi-objective Optimization},
  • Pablo Flores-Siguenza
    Jose Antonio Marmolejo-Saucedo
    Rodrigo Guamán
    Year: 2023
    Multi-objective optimization model for sustainable production planning in textile MSMEs
    DOI: 10.4108/eetinis.v10i3.3752
Pablo Flores-Siguenza1,*, Jose Antonio Marmolejo-Saucedo2, Rodrigo Guamán1
  • 1: University of Cuenca
  • 2: Universidad Nacional Autónoma de México
*Contact email:


Textile MSMEs are characterized by their high influence on the economy of the countries, both for their contribution to the gross domestic product as well as for the generation of employment, in recent years the complexity of their operations, instability and lack of balance between economic, environmental and social factors, axes of sustainable development, stand out. It is necessary to implement approaches such as sustainable manufacturing and production planning, which seeks the creation of products with minimal environmental impact, safe for workers, and economically robust. In this context, this study aims to develop a multi-objective optimization model that enhances sustainable production planning in textile MSMEs. The methodology is based on two phases, the first one focused on the acquisition of information and the second one dedicated to the mathematical formulation of the model, where three objective functions focused on economic, environmental and social factors are proposed. The model is validated with real data from a textile MSME in Ecuador and different production alternatives are generated by proposing the implementation and use of photovoltaic energy as well as a greater use of personal protective equipment. One of the relevant conclusions of the study is the contribution to the textile industry with a sustainable decision support tool, where different scenarios for production planning and their respective economic, environmental and social consequences are shown.