ABSTRACT
Industrial engineering (IE) has evolved significantly over the years and has played a crucial role in improving the efficiency and productivity of manufacturing and service industries. The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) has opened up new opportunities and challenges for industrial engineers. This abstract will discuss the challenges, opportunities, and future of IE with IoT and AI. The integration of IoT and AI in IE has brought about several challenges. One of the primary challenges is data management. With the exponential growth of data, industrial engineers must ensure that the data collected is accurate, reliable, and relevant. Additionally, with the increasing complexity of production systems, engineers must ensure that the data collected is integrated, allowing them to make informed decisions.
Another challenge is the need for skilled professionals. As IoT and AI continue to evolve, engineers require new skill sets and knowledge to implement these technologies. Engineers must possess a sound understanding of data analytics, machine learning, and programming languages to maximize the complete capabilities of these technologies. However, the integration of IoT and AI in IE also presents several opportunities. One significant opportunity is the potential to enhance productivity and efficiency. By utilizing IoT and AI, engineers can improve production processes and reduce costs. The use of predictive analytics can also allow engineers to detect anomalies and optimize maintenance schedules. Another opportunity is the development of new business models. IoT and AI can enable the creation of new products and services that were previously impossible. Additionally, IoT and AI can help businesses create new revenue streams through the monetization of data and services. Looking towards the future, the integration of IoT and AI in IE is expected to continue. In the years to come, the use of IoT and AI is expected to become more pervasive, leading to new applications and advancements. As these technologies continue to evolve, engineers will need to stay up to date with the latest advancements and continually adapt to new challenges and opportunities.
The integration of IoT and AI in IE presents both challenges and opportunities. Engineers must be prepared to manage data effectively and develop new skill sets to utilize these technologies fully. While these technologies will continue to evolve, the potential to enhance productivity, develop new business models, and create new revenue streams presents a bright future for the field of industrial engineering.
