1 publication

• Published Subscription Review Article 7 Oct 2024

  Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting

  By Aarati Haribhai Bhojani, Divyesh Prafulbhai Gohel

  Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …

  Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article →