This research examines the integration of workforce and process planning in reconfigurable manufacturing environment, focusing on sustainability's economic, social, and environmental dimensions. It evaluates social sustainability through new indicators, including flexible working hours and workforce hazard risks. A new mixed-integer linear programming model is proposed to minimize costs, social sustainability metric, production time, and hazardous waste. The model's effectiveness is assessed with RMS benchmarks using the augmented weighted Tchebycheff method for multi-objective optimization and data envelopment analysis to rank solutions, providing a detailed evaluation of RMS configurations.