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<p>In the context of sustainable manufacturing, Total Productive Maintenance (TPM) is a key strategy for enhancing environmental performance without compromising operational efficiency. This study empirically examines the influence of TPM’s critical pillars—technology, innovation, and technical capabilities—on economic sustainability, while considering the mediating role of environmental factors, such as waste reduction and energy efficiency, in the maquiladora industry of Ciudad Juárez, Mexico. A dual-method approach is applied, combining Partial Least Squares Structural Equation Modeling (PLS-SEM) and System Dynamics (SD), to capture both causal relationships and dynamic feedback mechanisms. The results confirm that TPM-related factors exert significant direct and indirect effects on economic sustainability, with innovation and technology playing central roles in influencing environmental performance. Dynamic simulations further indicate that coordinated TPM implementation strategies lead to stable and sustained improvements across all system variables. Overall, the findings provide empirical and dynamic evidence supporting TPM as a practical strategic approach to achieve long-term environmental and economic sustainability in resource-intensive manufacturing environments.</p>

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Environmental and economic sustainability through total productive maintenance: a dual approach using SEM and system dynamics

  • 期刊论文

  • 发表日期：

    2026年2月18日

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  • J. R. Díaz Reza,
  • J. L. García Alcaraz,
  • C. Sánchez Ramírez,
  • A. Realyvásquez Vargas,
  • J. L. Rodríguez Álvarez

摘要

In the context of sustainable manufacturing, Total Productive Maintenance (TPM) is a key strategy for enhancing environmental performance without compromising operational efficiency. This study empirically examines the influence of TPM’s critical pillars—technology, innovation, and technical capabilities—on economic sustainability, while considering the mediating role of environmental factors, such as waste reduction and energy efficiency, in the maquiladora industry of Ciudad Juárez, Mexico. A dual-method approach is applied, combining Partial Least Squares Structural Equation Modeling (PLS-SEM) and System Dynamics (SD), to capture both causal relationships and dynamic feedback mechanisms. The results confirm that TPM-related factors exert significant direct and indirect effects on economic sustainability, with innovation and technology playing central roles in influencing environmental performance. Dynamic simulations further indicate that coordinated TPM implementation strategies lead to stable and sustained improvements across all system variables. Overall, the findings provide empirical and dynamic evidence supporting TPM as a practical strategic approach to achieve long-term environmental and economic sustainability in resource-intensive manufacturing environments.