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Implementing data-driven maintenance at Stork IMM

Lunshof, Corné (2024) Implementing data-driven maintenance at Stork IMM.

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Abstract:Component failures are expensive and result in significant downtime. Through the integration of data-driven maintenance, Stork IMM can reduce operational downtime and warranty costs. However, Stork IMM is struggling with implementing data-driven maintenance and is not alone; implementing data-driven maintenance is a known hurdle for small and medium-sized enterprises (SMEs). We implemented data-driven maintenance in Stork IMM while focusing on the implementation process. The Agile and Modular Implementation Roadmap has been created to make implementing data-driven maintenance easier for SMEs. Using loggings for maintenance decisions did previously not take off at Stork IMM, a problem recognized generically in SMEs. We applied data-based maintenance at Stork IMM through iterative action research cycles using literature on the technology, technical frameworks, and implementation frameworks. Realizations about the lack of skills and system capabilities are typical for SMEs. Data-driven maintenance can be implemented effectively by implementing the selected frameworks and techniques in a modular manner. This approach enables the gradual development of complexity and required skills for the desired ambition level, leading agilely to valuable results.
Item Type:Essay (Master)
Clients:
Stork IMM
Faculty:ET: Engineering Technology
Subject:52 mechanical engineering
Programme:Mechanical Engineering MSc (60439)
Link to this item:https://purl.utwente.nl/essays/98491
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