Master Thesis: AI-Driven Business Model Innovation in Manufacturing Industry: An In-Depth Look at Siemens
Author
Androcec, Davor
Term
4. semester
Publication year
2024
Submitted on
2024-06-05
Pages
40
Abstract
Kunstig intelligens er ved at ændre måden, fremstillingsvirksomheder arbejder på. Dette speciale undersøger Siemens AG og hvordan tre teknologier har påvirket virksomhedens forretningsmodel: MindSphere IoT-platformen (som forbinder maskiner og data i skyen), prædiktivt vedligehold (brug af data til at forebygge nedbrud) og den digitale tvilling (en virtuel model af et fysisk anlæg). Med Innovation Impact Analysis Model (IIAM), Business Model Canvas, cost-benefit-analyse samt systemtænkning med kausale løkkediagrammer undersøger studiet effekter på strategi, driftseffektivitet og kunderelationer. Analysen viser, at AI-integration ændrer nøgleaktiviteter og nøgleressourcer, påvirker, hvordan Siemens engagerer kunder, og påvirker indtægtsstrømme. Resultaterne illustrerer, hvordan AI kan drive innovation og effektivitet og give en konkurrencefordel. Specialet bidrager til forståelsen af AI-drevet forretningsmodelinnovation og giver strategiske anbefalinger, der kan hjælpe fremstillingsvirksomheder med at integrere AI i deres forretningsmodeller.
Artificial intelligence is changing how manufacturing companies operate. This thesis examines Siemens AG and how three technologies have influenced its business model: the MindSphere IoT platform (which connects machines and data in the cloud), predictive maintenance (using data to prevent breakdowns), and the digital twin (a virtual model of a physical asset). Using the Innovation Impact Analysis Model (IIAM), the Business Model Canvas, cost-benefit analysis, and systems thinking with causal loop diagrams, the study explores effects on strategy, operational efficiency, and customer relationships. The analysis finds that AI integration reshapes key activities and resources, changes how Siemens engages customers, and affects revenue streams. These results illustrate how AI can drive innovation and efficiency and provide a competitive edge. The thesis contributes to understanding AI-driven business model innovation and offers strategic recommendations to help manufacturing firms integrate AI into their business models.
[This summary has been rewritten with the help of AI based on the project's original abstract]
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