Improving the overall equipment effectiveness in the textile dyeing section through total productive maintenance: implications for economic sustainability

Purpose In the current global market, textile industries are facing relentless pressure to optimize efficiency and effectiveness to maintain a competitive edge and ensure long-term viability. Acknowledging such a situation, this study aims to identify and implement critical Total Productive Maintenance (TPM)-driven strategies to enhance Overall Equipment Effectiveness (OEE) in the textile dyeing section. It further explores how these improvements contribute to long-term economic sustainability, especially in emerging economies. Design/methodology/approach By utilizing both quantitative and qualitative analysis by an integrated TPM and interval-valued q-rung ortho-pair fuzzy Decision-Making Trial and Evaluation Laboratory (IVQROF-DEMATEL) method, this study identified the significant TPM-driven strategies by determining their prominence ranking, followed by the implementation of the vital strategies with the goal to enhance OEE and promote economic sustainability. Findings Among the strategies, “Quality maintenance through precision dosing with closed-loop feedback control (S2)” and “Planned monitoring of water flow control with IoT sensors (S12)” were most prominent. After implementing the prioritized strategies, OEE improved from 68.6% to 76.3%, reflecting a 7.7% overall increase. This improvement stemmed from increases in availability (5.58%), performance (2.45%), and quality (1.43%), emphasizing the importance of TPM’s planned, quality, and autonomous maintenance pillars. Originality/value This study is the first attempt to develop a decision-support model for enhancing machine maintenance strategies for the textile industry dyeing section by integrating the IVQROF-DEMATEL method with the TPM framework. It also contributes to the performance management literature, indicating that a strategic approach to TPM can not only enhance OEE but also promote economic sustainability in emerging-economy manufacturing environments. The outcomes of this study may serve as a guiding framework for future industry-oriented research conducted by noble scholars.