AI in Capacity Planning
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I1P111Keywords:
Artificial Intelligence, Capacity Planning, Predictive Analytics, Machine Learning, Operations Management, Resource OptimizationAbstract
Capacity planning is an important part of the operations management that deals with the ability of businesses to satisfy the future needs at minimal costs. AI has also come to the forefront as a disruptive technology in capacity planning because it facilitates predictive analytics, automation, and intelligent decision-making. The paper discusses the application of AI in the context of capacity planning with the emphasis on the importance of machine learning, deep learning, and data analytics in streamlining operations. AI can enable organizations to predict demand more precisely, which enables efficient allocation of resources and also reducing causes of operational risk. Additionally, the paper examines the literature, methods, and case studies to prove that AI influences capacity planning. Difficulties, constraints, and perspectives are also addressed. The results imply that AI-based capacity planning can potentially lead to a great deal of improvement in decision-making, minimized expenditure, and a more reactive organization
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