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A framework and system architecture for value-oriented digital services in data-driven production logistics
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. (Production logistics)ORCID iD: 0000-0002-6090-7187
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. (Production logistics)ORCID iD: 0000-0003-0798-0753
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. (Production logistics)ORCID iD: 0000-0003-1878-773x
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. (Production logistics)ORCID iD: 0000-0001-7935-8811
2025 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, p. 1-21Article in journal (Refereed) Epub ahead of print
Abstract [en]

Digital services play a crucial role in enhancing manufacturing competitiveness by enabling differentiation, flexibility, customisation, and improved performance through advanced technologies such as the Industrial Internet of Things and Cyber-Physical Systems. While data-driven production logistics (PL) increasingly adopts these technologies to optimise operations, challenges persist in effectively leveraging digital services to enhance performance. This study proposes a value-oriented digital service framework for data-driven PL, integrating principles of value proposition development and value creation. Complemented by a system architecture, the framework identifies the defining characteristics of value-oriented digital services and provides a blueprint for effective performance monitoring. Empirical results from a case study on material handling in commercial vehicle manufacturing demonstrate significant improvements in PL performance metrics, including enhanced on-time delivery and energy efficiency. This study offers practical guidance for managers seeking to design and implement digital services that enhance operational monitoring and decision-making in data-driven PL.

Place, publisher, year, edition, pages
Informa UK Limited , 2025. p. 1-21
Keywords [en]
value-oriented digital services; data-driven production logistics; performance monitoring; spatio-temporal visualisation; Industrial Internet of Things (IIoT)
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Engineering Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-361484DOI: 10.1080/00207543.2025.2480204ISI: 001449064100001Scopus ID: 2-s2.0-105000490609OAI: oai:DiVA.org:kth-361484DiVA, id: diva2:1946017
Projects
Explainable and Learning Production & Logistics by Artificial Intelligence (EXPLAIN)
Funder
Vinnova, 2021-01289
Note

QC 20250425

Available from: 2025-03-20 Created: 2025-03-20 Last updated: 2025-04-25Bibliographically approved

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Zafarzadeh, MasoudFlores-García, ErikJeong, YongkukWiktorsson, Magnus
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