Improving supply chain planning for aftermarket services: challenges with applying product-in-use data
Journal article, 2026

Product-in-use data from connected products are an important driver of enhanced supply chain planning (SCP) and service development for original equipment manufacturers (OEMs). This study examined challenges of applying product-in-use data in aftermarket SCP processes, their interrelation, and how they relate to process and data complexities. In a case study of a heavy truck OEM, empirical data were analyzed concerning three SCP processes. The process and data complexities contribute to explaining the significance of specific personnel, technical, and organizational challenges, for example, IT governance, IT infrastructure, and combining data science and domain competence. Furthermore, technical and personnel challenges cause organizational challenges, and organizational and personnel challenges can be reduced in an interactive circle. Data and technology challenges are especially important in the early analytical phase, where processes are developed, while the importance of organizational and personnel challenges in development phases varies between SCP processes.

advanced analytics

Aftermarket supply chain

product-in-use

supply chain planning

big data

Author

Joakim Andersson

Chalmers, Technology Management and Economics, Supply and Operations Management

Patrik Jonsson

Chalmers, Technology Management and Economics, Supply and Operations Management 00

Árni Halldórsson

Chalmers, Technology Management and Economics, Supply and Operations Management 00

Production Planning and Control

0953-7287 (ISSN) 1366-5871 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Other Engineering and Technologies

Transport Systems and Logistics

Other Social Sciences not elsewhere specified

DOI

10.1080/09537287.2026.2630748

More information

Latest update

3/10/2026