Systems Engineering Methodology for Digital Supply Chain Business Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43926284" target="_blank" >RIV/62156489:43110/25:43926284 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/sys.21802" target="_blank" >https://doi.org/10.1002/sys.21802</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/sys.21802" target="_blank" >10.1002/sys.21802</a>
Alternative languages
Result language
angličtina
Original language name
Systems Engineering Methodology for Digital Supply Chain Business Models
Original language description
Globalization and growing business dynamics lead to weakly harmonized supply chain (SC) systems. While smart technology offers innovation opportunities, supply chains often lack the integration needed to fully leverage resources and collaboration. A comprehensive systems engineering (SE)-driven model for integrated innovation and optimization of smart SC business models is still missing. This study, through case research at SAP SE's Industry 4.0 division and three automotive companies, identifies key digital transformation objectives and interoperability gaps hindering smart opportunities. Systems engineering, supply chain management (SCM), and artificial intelligence (AI) methods were synthesized into a holistic SE-driven model for transforming and optimizing SC business models. This model integrates management concepts like the theory of ambidexterity and dynamic capabilities, with SE methods capability engineering and complex adaptive systems, and semantic web concepts. Key SE contributions include meta-modeling multi-tier SC architectures, ensuring performance and resilience via simulations, and balancing value exploration and exploitation. Moreover, semantic harmonized and profit-optimized SC ecosystems enable collaborative innovation for flexible, efficient manufacturing-a core Industry 4.0 principle. This SE-driven model, validated by experts, provides a concise view of digital SC business models and a driver of generative design.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Systems Engineering
ISSN
1098-1241
e-ISSN
1520-6858
Volume of the periodical
28
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
411-437
UT code for WoS article
001389870800001
EID of the result in the Scopus database
2-s2.0-105003959938