Planning the needs for spare parts for state and municipal customers

Key Points

• Accurate demand forecasting reduces waste and inventory costs for automotive spare parts in organizations, enhancing operational effectiveness.
• The study identifies key factors and applies statistical modeling to improve consumption forecasts and establish standards for spare parts.
• Methodological principles focus on significant factors influencing demand and supply in automotive parts, supporting better planning.
• Implementation of these algorithms is crucial for organizations to meet the needs of state and municipal customers efficiently.