Digital twins serve as virtual replicas of physical systems and are increasingly becoming indispensable in industries such as Defence & Aerospace, Manufacturing, and AEC & Plant. However, leveraging them effectively involves navigating intricate challenges around data management, open access to information, and a shift in how contracts are framed. This article aims to demystify these complexities and offer actionable insights.
Recognize information as an asset
Information is no longer just bits and bytes; it is an asset of tangible value that demands a different kind of procurement strategy. One of the most significant challenges lies in the cultural shift required, particularly in procurement departments. Traditional procurement methods focus on tangible assets, often failing to capture the complexity of contracting for quality information.
The new way to contract
Contracts need to explicitly outline not just what is being procured but also the quality and purpose of the information being acquired. Businesses should not merely put specifications in contracts; they should introduce Key Performance Indicators (KPIs) tied to the quality of information. Implementing penalty clauses for failing to meet these KPIs ensures that vendors take the provision of quality information seriously.
Navigate legal landscapes
Procuring information isn’t merely about acquiring data; it’s also about understanding the intellectual property rights that come with it, as well as export control constraints. Failure to consider these factors during the acquisition phase can lead to limitations on how the data can be used.
From procurement to operation
Obtaining high-quality data is not the end of the journey. It’s also essential to manage this data effectively, ensuring it’s integrated and accessible in the operational phases. Data that remains unutilized becomes “shelfware” and loses its asset value.
Consolidate, don’t complicate
An essential aspect of data management is consolidating information from multiple systems. In an age where no single system can offer a one-stop solution, the need for interoperability becomes paramount. Open APIs and standards, such as PLCS (Product Life Cycle Support), facilitate easy access and exchange of information between different systems, safeguarding against vendor lock-in and promoting data democracy.
Context matters
Raw data lacks value if it isn’t contextualized. Information frameworks like PLCS provide much-needed context, acting as meta-models that enable businesses to perform sophisticated data analytics. Whether it’s an aircraft carrier or a perfume bottle, the framework allows for diverse domain-specific configurations.
Quality over quantity
While the sheer volume of data collected might seem like a strong point, the emphasis should be on data quality and coherence. Sub-par or inaccurate data can mislead analytics and lead to faulty conclusions, making quality a non-negotiable aspect of effective digital twin management.
Summary
Digital twins offer groundbreaking possibilities but are accompanied by complex challenges, from the intricacies of procurement contracts to data management and the necessity for open, integrated systems. By adopting strategies such as the thorough contractual specification of information quality, mindful management of data, and understanding the legal nuances, businesses can truly unlock the transformative power of digital twins. To learn more, watch our webinar on how to keep digital twins up-to-date and avoid vendor lock-in throughout an asset or product lifecycle.
