Aluminum, one of the most abundant metals found on our planet, plays a crucial role in manufacturing as it is lightweight and resistant to corrosion and has excellent machinability. Of its numerous alloys, Al6061 is one of the most popular alloys used for CNC machining due to its superior mechanical and processing properties. This paper aims to investigate the impact of machining under dry and wet machining conditions. Correspondingly, the impact of dry machining on the material removal rate (MRR) and surface roughness (Ra) of Al6061 was evaluated. Machining was performed on a CNC Lathe. Two rods of Al6061 were used, and a dynamometer was attached to them to measure the radial, thrust, and tangential forces. In wet machining, the coolant used was a mixture of cutting oil and water. Different RPMs, feed rates, and depths of cut were entered into the machine as parameters. And the optimum parameters where found. This research utilizes particle swarm optimization approaches in order to evaluate optimal parameters, in contrast to traditional measurement methods such as contact profilometry or cutting force measurement. The results indicate that surface roughness rises with the depth of cut and feed rate. Ra rises by about 200% when dry machining is conducted at 0.05 mm/rev with increased depths of cut from 0.5 mm to 2.5 mm. In wet machining, the rise is much smaller, approximately 67% at 0.05 mm/rev and 30% at 0.25 mm/rev. Wet machining always produces more finished surfaces, decreasing Ra by 22–25% over dry machining. Wet machining is therefore better suited for achieving high-quality surface finish in Al6061 machining.

Industrial engineering has long served as a cornerstone of productivity and efficiency in manufacturing environments by focusing on the design and optimization of machinery, processes, and systems. However, its application has largely remained confined within the traditional boundaries of factory floors. This narrow scope has limited its potential in addressing broader, systemic challenges in a rapidly evolving industrial landscape. This research identifies a significant gap: despite its foundational role in operations, industrial engineering has not fully adapted to the demands of Industry 4.0 and the emerging paradigms of Industry 5.0, which emphasize human–machine harmony, sustainability, and adaptability. This paper advocates for a revolution in industrial engineering—one that transcends conventional methods and redefines the discipline through open-minded innovation, universal applicability, and immediate transformation. The novelty of this review lies in its conceptual framework that promotes optimization as a mindset rather than a rigid methodology. It argues that industrial engineering must evolve into a dynamic discipline capable of creative problem-solving, unrestricted by outdated procedures or limited applications. This paper outlines three key transformations required to achieve this revolution: (1) the universal application of industrial engineering principles beyond traditional domains; (2) the prioritization of innovation and creativity over procedural optimization; and (3) the urgency of immediate implementation. By challenging conventional thinking and encouraging the development of novel, potentially patentable approaches, this study aims to position industrial engineering at the forefront of technological revolutions and socio-technical change. This revolutionary perspective is intended to guide both academics and practitioners in embracing a more fluid, adaptive, and forward-looking role, ensuring that industrial engineering remains relevant and impactful in shaping the future of global industry in the context of Industry 4.0 and beyond.