Circular Economy and Asset Life Extension: Engineering Approaches for Industrial Sustainability

Abstract

The global shift from linear production models toward circular economies has redefined industrial sustainability paradigms. This study explores engineering strategies that enable asset life extension as a cornerstone of circular economy implementation. Using a systematic literature review and thematic analysis of scholarly works published between 2010 and 2018, the paper synthesizes practical engineering approaches including repair, refurbishment, remanufacturing, and predictive maintenance within the framework of industrial circularity. The analysis identifies design for modularity, digital twin integration, and predictive analytics as key enablers that enhance asset longevity and resource efficiency. Findings reveal that Industry 4.0 technologies, such as the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI), transform asset management from reactive to proactive models, thereby reducing material waste and operational downtime. However, implementation barriers persist, including technological interoperability, financial constraints, and regulatory inconsistencies. The study concludes by proposing strategic recommendations for integrating circular design principles with intelligent maintenance systems to achieve long-term industrial resilience. The paper contributes to the growing discourse on engineering-enabled circular economies by framing asset life extension as both an environmental necessity and an innovation pathway for sustainable manufacturing.