Manufacturing challenges must be approached with system-oriented practices given its significant impact on the environment, employment, society, and economies. Manufacturing paradigms like circular economy (CE), lean, sustainable, reconfigurable, agile, and resilient manufacturing (RM) are traditionally covered individually, or in pairs in the literature. A gap emerges in the collaborative use of two or more paradigms to address future manufacturing challenges such as supply chain disruptions, data security, and sustainability. This review finds that the strategic, data-driven integration of multiple paradigms has significant potential to enhance decision-making in future manufacturing systems with the support of Industry 4.0 (4IR) technologies. This review of larger combinations of manufacturing paradigms raises awareness of the actions required to address challenges through paradigm integration and technology-enabled decision making. A total of 142 studies are analyzed, revealing 6 manufacturing paradigms with 79 key attributes. Research questions arise that guide future directions in the field, including how manufacturing paradigms can be systematically integrated to address trade-offs, improve adaptability and resilience, support workforce and sustainability goals, and leverage 4IR technologies to solve emerging manufacturing challenges. This review proposes the use of shared attributes and complementary strengths—for example combining CE strategies for material recovery with RM capabilities that improve supply chain continuity—to identify and merge paradigms, as well as to identify opportunities where 4IR technologies can further facilitate their integration. The immediate implementation of multiple paradigms is limited by gaps in empirical evidence, standardized metrics, and consideration of human and system-level factors.