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Developing and Evol...
Developing and Evolving a Digital Twin of the Organization
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- Edrisi, Farid (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
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- Perez-Palacin, Diego (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
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- Caporuscio, Mauro, Professor, 1975- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
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- Giussani, Samuele (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
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(creator_code:org_t)
- IEEE, 2024
- 2024
- Engelska.
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Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 12, s. 45475-45494
- Relaterad länk:
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https://doi.org/10.1...
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https://lnu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Digital Twin of the Organization (DTO) is a relatively new concept that emerged to help managers have a full understanding of their organization and realize their objectives. Indeed, DTO enables connecting all the elements of an organization virtually by providing monitoring, optimization, prediction, and other capabilities through continuous simulations. Creating a flexible and evolvable DTO that covers and supports the organization's business strategies is a complex and time-consuming task that requires engineering best practices. In this context, this paper presents and evaluates the EA Blueprint Pattern, which serves as an architectural reference for the development of a DTO by allowing for mapping well-known Enterprise Architecture concepts into software components defining the DTO software architecture. The evaluation is carried on by showing how to use the pattern for creating the DTO for a given organization. Then, a thorough discussion is conducted to analyze how the developed DTO should evolve to deal with vertical and horizontal integration. The lessons learned highlight the strengths and weaknesses along with practical implications for organizations that are eager to develop their DTO according to the EA Blueprint Pattern.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Digital twins
- Decision making
- Information systems
- Computer architecture
- Standards organizations
- Pattern analysis
- Organizational aspects
- Software engineering
- Enterprise architecture management
- Digital twin
- EA blueprint pattern
- enterprise architecture
- organizational integration
- software evolution
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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