Systems Engineering Methodology for Digital Supply Chain Business Models

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Systems Engineering Methodology for Digital Supply Chain Business Models

Popis výsledku v původním jazyce

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&apos;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.

Název v anglickém jazyce

Systems Engineering Methodology for Digital Supply Chain Business Models

Popis výsledku anglicky

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&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Systems Engineering

ISSN

1098-1241

e-ISSN

1520-6858

Svazek periodika

28

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

27

Strana od-do

411-437

Kód UT WoS článku

001389870800001

EID výsledku v databázi Scopus

2-s2.0-105003959938