Sustainable manufacturing is critical today because it incorporates economic, environmental, and social factors into the manufacturing process. This research proposes a new framework for assessing manufacturing sustainability, including physical and mental workloads. The analytical hierarchy process (AHP) method is proposed to determine the weight of the triple bottom line (TBL) indicator. Each TBL indicator is evaluated for efficiency before being integrated into the sustainable value stream mapping (VSM) and traffic light system (TLS). Time, quality, raw materials, energy, water consumption, mental workload, and physical workload are the seven indicators used in this study. The framework proposed is applied to a case study in the plastics industry. The results show that the proposed framework can solve industrial problems. The manufacturing sustainability score in this industry is 75.06%, indicating that the company has moderate performance and needs improvement. In addition, this study includes implications and recommendations.