
Ivaldi Group identifies 3% to 11% spare part suitability for additive manufacturing in energy sector
Originally reported by 3D Printing Industry
Ivaldi Group CEO Espen Siversten has released data analyzing 2.3 million industrial parts and $1.6 billion in annual spare parts expenditure to determine additive manufacturing (AM) viability. The analysis reveals that, on average, between 3% and 11% of components in heavy industries like mining and energy are suitable for local AM production. The company is positioning itself as a strategic intermediary to bridge the gap between part identification and actual decentralized manufacturing execution. To facilitate this, Ivaldi utilizes a tiered data capture process involving field technicians to convert physical components into digital assets for on-demand production.
This focus addresses a critical bottleneck in the transition from centralized warehousing to digital inventory models. While the theoretical benefits of reducing unplanned downtime and excess inventory are well-documented, the practical application in asset-intensive sectors remains hindered by fragmented data and diverse regulatory environments. Unlike pure-play hardware providers, Ivaldi operates in the services and digital supply chain management layer, targeting the high-cost logistics challenges faced by offshore platforms in Norway and mining operations in South Africa. The company's approach moves beyond simple prototyping to address the complex integration of digital spare parts into existing procurement workflows.
Successful implementation requires more than just technical part suitability; it necessitates a facility-by-facility strategy that accounts for local carbon obligations and geopolitical risk. Operators must move beyond the 'it depends' phase by investing in structured digital inventories and standardized data capture protocols. The immediate priority for Ivaldi and its peers is the development of robust business case infrastructure that can withstand the varying regulatory and logistical constraints of global heavy industry sites.
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