Development of an Analytical Framework for Reverse Logistics Supply Chain in Industrial Waste Management Based on Grounded Theory and Interpretive Structural Modeling (ISM)
Keywords:
Reverse logistics supply chain, industrial waste, gas refining industry, grounded theory, interpretive structural modeling (ISM)Abstract
The rapid growth of technology and the emergence of new production processes, along with the substitution of synthetic materials and chemical compounds, have resulted in an increased volume of industrial waste and, in some cases, the generation of hazardous waste. Improper handling, transportation, and disposal of this waste, part of which contains dangerous substances, pose serious challenges to human health and the environment. Under such circumstances, establishing an efficient reverse logistics network emerges as an inevitable necessity. With growing social concerns about environmental issues, reverse logistics has become increasingly integrated with waste management, and the management of industrial waste is now considered a core pillar of reverse supply chain management. This study, employing the grounded theory method based on the Strauss and Corbin (1998) model and using the insights of 17 academic and industrial experts in the national gas refining sector, proposes a comprehensive model for the reverse supply chain of waste in this industry. The analysis of data obtained from semi-structured interviews led to the identification of 25 core concepts categorized into six main themes. The application of Interpretive Structural Modeling (ISM) revealed hierarchical and causal relationships among these factors, indicating that regulations and policies, infrastructure, and organizational culture act as fundamental and driving forces with the greatest impact on the success of the system. This paradigmatic model can serve as a roadmap for managers in the gas refining industry to design and implement an effective and sustainable reverse logistics system.
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