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Summary

In this episode, Evan Powell shares his expertise on spares management, discussing the common challenges faced by reliability and maintenance teams. He talks about the importance of understanding the problem with spares, taking control through a structured framework, and implementing demand-driven purchasing strategies. The conversation also covers the significance of review cycles for continuous improvement and the potential future integration of AI in inventory management. Evan provides actionable insights for site leaders to optimise their spares strategy and improve overall operational efficiency.

Chapters

2:00 Introduction to Spares Inventory Management

11:40 Understanding the Challenges of Spares

20:30 Frameworks for Effective Inventory Control

25:03 The Relay Race of Information Transfer

29:45 Demand-Driven Purchasing and Its Impact

30:04 Preventive Maintenance Planning

34:13 Review Cycles for Effective Inventory Management

39:50 Aligning SOP Processes with Spare Parts Strategy

43:32 Advice for Site Leaders on Spare Strategy

45:06 The Future of Spares and AI Integration

Takeaways

1. Spares inventory often has a long tail with 95% of usage coming from 5% of items.
2. Understanding the criticality of parts is essential for effective inventory management.
3. Daily review cycles are crucial for managing replenishment and inventory control.
4. Work orders should drive the demand for purchasing inventory.
5. Visual management of inventory data can facilitate better decision-making.
6. Engaging vendors in the inventory management process can lead to better outcomes.
7. Preventive maintenance should be integrated with inventory management strategies.
8. Regularly reviewing inventory usage helps in optimizing stock levels.
9. AI can enhance predictive maintenance but requires quality data to be effective.
10. Creating a culture of collaboration between engineering and supply chain teams is vital for success.

Keywords

spares management, inventory control, demand-driven purchasing, maintenance strategies, engineering teams, supply chain management, criticality assessment, review cycles, AI in inventory, optimization