Analyzing and Optimization of the Critical Barriers of Sustainable Manufacturing
摘要
This research uses the hybrid fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL) method, integrating fuzzy logic with sophisticated decision-making frameworks to systematically evaluate and rank the barriers to sustainable manufacturing. Expert assessments, together with qualitative data, are crucial in influencing the evaluation and subsequent ranking of these obstacles. This research’s major findings include a comprehensive enumeration of the most significant barriers to achieving sustainable manufacturing practices. Primary among these are problems with top management’s commitment, the depth of leadership, and the availability of technical expertise—factors considered critical in hindering growth. Moreover, substantial obstacles including financial constraints, inadequate regulatory structures, and lukewarm consumer demand all arise as key impediments. The report not only explains these limits but also presents a clear hierarchical ranking, therefore providing as a guide for strategic decision-making moving forward. In practical terms, the insights produced from this study offer enormous importance for both policymakers and manufacturing businesses. By tackling these identified barriers, stakeholders can adopt more effective interventions that reduce the most serious challenges to sustainability. For instance, boosting leadership dedication and bolstering technical capabilities inside industrial firms could serve as catalysts for more robust and meaningful sustainability policies. Overcoming these challenges will enable the manufacturing sector to improve its environmental and social performance, cut operating costs, and boost overall productivity—contributing meaningfully to the accomplishment of long-term sustainability targets.