

Coding Strategies for Assembly Line Optimization
Abstract
Assembly lines are foundational to modern manufacturing, but their efficiency relies heavily on effective coding strategies. This paper offers a comprehensive review of coding strategies aimed at optimizing assembly line performance. Key topics explored include sequencing algorithms, scheduling techniques, and workflow optimization methodologies. Through an analysis of existing research, this review examines how coding strategies influence production efficiency, throughput, and resource utilization. Case studies and real-world examples illustrate the application of coding strategies across various industries, highlighting their impact on reducing lead times, minimizing idle time, and improving overall productivity. Additionally, emerging trends such as machine learning algorithms and dynamic programming approaches are discussed, offering insights into future directions for assembly line optimization through coding strategies. This review serves as a valuable resource for researchers, engineers, and practitioners seeking to enhance assembly line performance and competitiveness in the manufacturing sector.
Cite as:P.P. Bhise. (2024). Coding Strategies for Assembly Line Optimization. Advancement in Mechanical Engineering and Technology, 7(2), 23–26.
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