Integrating Agile Project Management with Artificial Intelligence: A Paradigm Shift in the Automotive Industry

Ενσωματώνοντας την Ευέλικτη Διαχείριση Έργου με την Τεχνητή Νοημοσύνη: Μια αλλαγή παραδείγματος στην αυτοκινητοβιομηχανία (Ελληνική)

  1. MSc thesis
  2. ΧΑΡΑΛΑΜΠΟΣ ΧΑΛΔΑΙΟΠΟΥΛΟΣ
  3. Innovation Management and Entrepreneurship (IME)
  4. 21 Ιουλίου 2024
  5. Αγγλικά
  6. 70
  7. Tsinopoulos, Christos
  8. Tsinopoulos Christos | ΖΕΡΒΟΥΔΑΚΗΣ, ΚΩΝΣΤΑΝΤΙΝΟΣ ΔΡ | Konstantelou, Anastasia
  9. Agile Project Management, Artificial Intelligence, Automotive Industry
  10. Managing Innovative Projects / IME 54
  11. 85
    • In the automotive industry’s transformational path towards the electrification era,
      several aspects of the industry’s existing functions have been redefined. A critically
      affected domain that has emerged as a key driver of this development is automotive
      project management. Currently, in the industry, traditionally rigid project management
      methodologies are being replaced by more agile approaches due to their inherent
      limitations, such as lack of adaptability and reduced operational efficiency. These
      limitations have become apparent as large multinational automotive companies strive
      to transition to this new electrification era, characterized by disruptive technological
      innovations and significant sustainability goals.
      This dissertation explores the automotive industry’s paradigm shift towards
      applying Agile Project Management (APM) to introduce flexibility and adaptability in
      managing automotive projects, focusing on an important disruptive factor: the advent
      of Artificial Intelligence (AI), and its integration into the existing APM methodologies.
      The core principles of APM perfectly complement the modern, complex product
      development processes in the automotive industry. Key characteristics of the agile
      framework, such as iterative testing and development, continuous integration and
      feedback loops, and cross-functional collaboration help automotive companies adapt
      to their customer's constantly changing and diverse demands.
      This endeavor is significantly enhanced when AI’s innovative techniques are
      embedded into agile practices. The ability of AI algorithms to process and analyze vast
      amounts of data augments the APM process by introducing unique capabilities such
      as data-driven decision-making, predictive analytics, and process automation.
      To better contextualize this significant merge, a concise review of the existing
      literature is complemented by a systematic analysis of industry experts’ interviews that
      have real-world experience managing complex automotive projects, to highlight the
      key synergy areas of APM and AI, recognize important integration challenges and
      evaluate this integration’s impact on the future of the automotive project management.

  12. Hellenic Open University
  13. Αναφορά Δημιουργού 4.0 Διεθνές