A Theoretical Framework of Spare Part Inventory Management for Aging Rotating Equipment: A Case Study

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Abstract:

This paper presents a theoretical framework for managing spare parts inventory for aging rotating equipment in the oil and gas industry, focusing on challenges such as unpredictable demand, long lead times, and obsolescence risks. Traditional inventory methods, such as ABC analysis and Economic Order Quantity (EOQ), are insufficient for handling these complexities. The framework integrates demand characteristics, such as usage frequency and criticality, with predictive maintenance and continuous review policies. Data from maintenance management systems also play a critical role in developing the spare parts control policy. Based on interviews with maintenance experts and inventory analysts, the study findings confirm that unpredictable demand and long lead times are significant challenges. Additionally, flexible contracts and integrated planning between maintenance, inventory control, and suppliers are paramount. Future research should explore dynamic sourcing strategies and machine learning to enhance forecast accuracy and process automation in spare parts management.

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