Application of the Flow Shop Model and Tabu Search Algorithm to Develop a Total Productive Maintenance–Autonomous Maintenance Framework for the Mobile Phone Production System

In recent years, the mobile phone manufacturing industry has witnessed remarkable breakthroughs, particularly among the world's leading technological corporations.In this study, the Flow Shop model and Tabu Search algorithm are applied to develop a Total Productive Maintenance (TPM) framework, integrated with an Autonomous Maintenance strategy, to optimize the mobile phone production system at Samsung Electronics.Furthermore, these methods facilitate the forecasting and analysis of performance across each stage of the production line, thereby identifying critical bottlenecks that require improvement to enhance operational efficiency in the future [1].The research findings demonstrate the stability and strong growth potential of this model in improving productivity and minimizing waste.In addition, data analysis enables the identification of necessary improvement solutions, particularly in equipment maintenance and process optimization.This not only enhances the business performance of the enterprise but also contributes to the sustainable development of the mobile phone manufacturing industry.The implementation of autonomous maintenance not only ensures product quality but also fosters a professional working environment, enhances workforce skills, and makes a significant contribution to the economic growth of both the nation and the global market.