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The book begins with a thorough examination of the strategy for maintaining important pieces of automated production line equipment, with an emphasis on how performance deteriorates with time and a cutting-edge method for quality control, particularly while operating in highly variable situations. The part that follows focuses on designing control systems based on robotics and Programmable Logic Controllers (PLC) and addresses genetic algorithm optimization of layout design. Following in-depth explanations of Total Productive Maintenance (TPM), Single Minute Exchange of Die (SMED), and the 5S model, readers are given a thorough grasp of ways for increasing efficiency in the food business. The essay highlights the importance of cutting-edge technologies in the contemporary industrial landscape by taking into account cloud-based production line control systems, digital twin technology, and optimization and reconfiguration resources in brownfield environments. With a focus on genetic algorithms, decision support systems, ergonomics, and uncertainty, assembly line balance emerges as a major issue. The creation of customized products, collaborative assembly, and the remanufacturing process are all topics covered in the book regarding assembly line balancing. The use of cutting-edge computational techniques like Benders Decomposition and Hybrid Reactive GRASP shows how computational intelligence is having an increasing impact on assembly line management. In-depth analysis of semi-automatic automotive assembly lines is provided by the evaluation of Overall Equipment Effectiveness (OEE), which emphasizes machine learning predictive methodologies, data-based assembly patterns, and the life cycle of OEE. The progression of OEE estimation from human-centered techniques to supervised machine learning is further highlighted in the article. The discussion of modular construction is then transitioned into, and various parts of, production process optimization, precast component production tolerances, and lean-based work design optimization are explored. The text also discusses intelligent inspection and quality control methods, especially those that make use of machine vision and game theory.