Dynamic Modelling of Sustainability and Resilience in Industrial Ecosystems: Integrating 4 subsystems of Sustainable Development

Document Type : Persian Research paper

Authors

1 Department Of Industrial Engineering,

2 Professor, Faculty of Industrial Engineering, Yazd University

10.22108/pom.2026.146312.1634

Abstract

This study presents an integrative system dynamics framework for designing and evaluating policies aimed at enhancing sustainability, resilience, and performance across interconnected economic, environmental, social, institutional, and human resource subsystems. By employing dynamic feedback loops and scenario-based simulations, the framework identifies critical leverage points that inform the development of adaptive, long-term strategies to support cleaner production and sustainable development. Results demonstrate that sustained strategic investments in research and development significantly drive economic growth, technical efficiency, and innovation adoption, while comprehensive institutional reforms and governance improvements reduce corruption and strengthen policy coherence. Environmental subsystem analysis underscores the necessity of integrated multi-sector governance, large-scale investments in clean technologies, and adaptive resource management to achieve pollution reduction and ecosystem resilience. Social policies that enhance quality of life through health, education, and housing integration are shown to stabilize demographic trends and support sustainable labour supply. In the human resources domain, holistic strategies emphasizing job satisfaction, via workplace redesign, participatory decision-making, and continuous feedback, foster workforce adaptability and sustained production improvements. The study also highlights the importance of dynamic, system-wide evaluation metrics and simulation-based decision support tools to anticipate delayed impacts and unintended consequences, ensuring continuous policy refinement. This comprehensive, multi-dimensional approach provides a robust decision-making framework for policymakers to drive cleaner production pathways that balance economic growth, social well-being, environmental stewardship, and institutional effectiveness within complex, evolving socio-technical systems.

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