Introduction

ARC Advisory Group has designed a questionnaire to better understand how Engineering Procurement and Construction (EPC), Digital Twin Software solution providers, Engineering Service Providers and End Users view future digital twin capabilities and benefits. We invite you to complete this 4-5 minute survey to help us learn the approaches and techniques employed. In return, we will share the benchmarking research report with you in the coming weeks.

Who Should Take This Survey?
Digital Twin Product Owners, Engineering, Product Marketing, Project officers, Project Growth and Delivery leaders, Business Development, Project Operations and Development, Partnerships Development, Chief Digital Officers, Project Information Management leaders, Continuous improvement, and Subject Matter Experts who are involved in creating, deploying or sustaining digital twins.

Privacy and Confidentiality:
Your privacy is assured, and your identity will not be released to others. Your responses and the responses of your peers will be included in the report you will receive for taking this survey. If you have questions about the survey, please contact us at https://www.arcweb.com/about/contact-us

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* 1. Which digital twin stakeholder group best represents you?

For the context of this survey, ARC defines a digital twin as a virtual representation of a physical system and its associated environment, processes, and equipment attributes which may be updated through the exchange of information between the physical and virtual systems.

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* 2. Which statement best describes a digital twin?

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* 3. What are your biggest challenges in sustaining digital twins?

  Not applicable Strongly disagree Slightly disagree Neither agree nor disagree Slightly agree Strongly agree
There is lack of clarity in the level of fidelity and fidelity of reality capture models.
There are no standards for spatial coordinates used by E&C, asset owners and vendors.
Too many different modalities of 3D asset visualization (CAD, 360 photos, reality capture etc.). Numerous use cases are single use case only.
There is a great diversity of disparate data sources that must be federated and unified.
The cost of creating and maintaining digital twins
It is difficult to maintain relevant data, cleanse data and deciding which data is needed to have in a Digital twin.

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* 4. How important are the following future digital twin capabilities?

  Not sure Not at all important Slightly important Moderately important Very important Extremely important
A common spatial coordinate system shall be used in the common data model for digital twins.
Reality capture data and models will plug and play in multiple activities regardless of fidelity (4K versus 720p)
More easily use any laser scan tool and “snap it in” without data wrangling and conversion.
There must be support for diverse data types.
A common set of definitions of the data sets is required. Digital twins will contain a level of intelligence in the data model.
The metadata associated with the capture must be defined for easy consumption and contextualization.
A more integrated lidar, laser scan, and photogrammetry with engineering models
Data will be interoperable, avoiding a monolithic technology stack from a single vendor.
A standards-based, common federated data model will normalize data from different sources and vendors (in place) for aggregation and contextualization via consumption platforms.

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* 5. When considering future digital twin architecture how important are the following?

  Not sure Not at all important Slightly important Moderately important Very important Extremely important
In open platform to capture any type of source data (3D scan, record, photogrammetry, 3D authoring tools, design specificvations)
Centralized cloud storage
Autonomous data delivery
Platforms for re-use and consumption
Open data architecture for any digital twin

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* 6. When considering approaches to creating future digital twins how important are the following statements?

  Not sure Not at all important Slightly important Moderately important Very important Extremely important
Collaborate with other relevant standards organizations to avoid re-inventing and focusing on digital twin adoption using an agile approach.
Asset owners should agree on using the same vision, principles, and standards to improve consistency.
Need help from technology vendors in supporting data standards to allow plug-and-play.

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* 7. How valuable are the following benefits when considering future digital twins?

  Not sure Not at all valuable Slightly valuable Moderately valuable Very valuable Extremely valuable
Fully interoperable digital twin application software
Avoid vendor lock-in
Enable reuse of components
Create modular digital twin systems
Reduce developement costs
Reduce Digital Twin program risk
Reduce technical debt and sustaining digital twins
Extend the digital twin lifecycle through design-build-operate-maintain
Separate digital twin data from software

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* 8. What region are you located in?

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* 10. Please describe your function in the organization.

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* 11. What is your role in your organization?

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* 12. If you would like to receive a free copy of the report please provide your contact information

Thank you for contributing to this survey.  

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* 13. May we contact you to discuss the results in greater detail (and share findings)?

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