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Proposing a Multi-domain and Life-Cycle Based Analysis Process for Service Architecture Design: A Case Study from a Danish Third-Party Logistics Company

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

As companies increasingly adopt service-based business models, the design of coherent and scalable service architectures becomes essential. While literature highlights the need for service analyses as a precursor to architectural design, it lacks concrete methodologies that integrate data from various life-cycle stages and organizational domains. This study addresses this gap by proposing a structured analysis method for identifying hierarchical decompositions across digital, physical, and mental sources–spanning sales, invoicing, and operations. The research question guiding this work is: how can the scope of service architecture analyses be systematically expanded to include more preexisting system decompositions, in order to reduce knowledge-based implementation barriers? The proposed method is tested in a case study at a Danish third-party logistics (3PL) company, revealing structural and semantic misalignments across organizational systems. By increasing transparency and highlighting misaligned service structures, the analysis improves the foundation for conceptualizing and implementing service architectures.

Original languageEnglish
Title of host publicationNew Paradigms for Anticipated Uncertainty
EditorsMartin Manns
PublisherSpringer
Publication date2026
Pages479-491
ISBN (Print)9783032168887
DOIs
Publication statusPublished - 2026
Event10th Changeable, Agile, Reconfigurable and Virtual Production Conference - Campus Unteres Schloss, University Siegen, Siegen, Germany
Duration: 9 Sept 2025 → 12 Sept 2025

Conference

Conference10th Changeable, Agile, Reconfigurable and Virtual Production Conference
LocationCampus Unteres Schloss, University Siegen
Country/TerritoryGermany
CitySiegen
Period09/09/2025 → 12/09/2025
SeriesLecture Notes in Mechanical Engineering
ISSN2195-4356

Keywords

  • Logistics services
  • Service architecture
  • Service life-cycle
  • Service system analysis
  • Variation management

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