The impact of the pandemic has led to a dearth of manufacturing systems resilience. Manufacturing industry leadership has discovered that traditional manufacturing processes are incapacitated by inefficiencies and bottlenecks in the current traditional manufacturing process. The pandemic has exposed weaknesses in traditional manufacturing processes, prompting the industry to seek ways to enhance productivity, efficiency, and sustainability. The emergence of smart technologies like IoT, AI, and robotics presents an opportunity to transform manufacturing and bolster resilience. This research paper focuses on teaching and learning within the context of manufacturing resilience. The study delves into the concept of resilient manufacturing and explores strategies for achieving it through smart technology integration. The research provides insights into how these technologies can effectively improve manufacturing operations' resilience, offering a comprehensive framework for their adoption. The goal of the research is to develop a manufacturing education framework that enables the industry to implement strategies that can assist manufacturers to better respond to disruptions, minimize downtime, and ensure sustainability. The qualitative research explores and explain the impact of smart technologies on manufacturing, contributing to the enhancement of future work in the field of manufacturing education and learning.

Keywords or phrases: Technology, Manufacturing, IoT, Robotics, AI

, Internet.