Towards the Development of Resilient Manufacturing Systems: A Systematic Literature Review

In this era of global competitiveness, volatility, and uncertainty there is an increasing quest for the development of resilient manufacturing systems that are resistant to disruptions or that are quick to recover from disruptions. Resilient manufacturing systems are crucial, and this was accentuated during the covid-19 pandemic and the war between Russia and Ukraine, where global value chains were severely disrupted. These events exposed the loopholes in the manufacturing system and presented a gap to improve the manufacturing systems. This study reviewed some existing solutions geared towards achieving resilient manufacturing. A systematic literature review method was used to gather information on the state of the art and the requirements necessary for the development of resilient manufacturing systems. The reviewed literature inclines to the use of big data analytics, machine learning and artificial intelligence as viable options to achieving resilient manufacturing. This study also highlights different resilient manufacturing frameworks and approaches that manufacturing industries can adopt or adjust based on their unique requirements. Future studies can consider the application of resilient manufacturing strategies to achieve a robust manufacturing system using a specific case study.