Process Versus Knowledge Interdependencies: Balancing Alternative Grouping Criteria
DS 134: Proceedings of the 26th International DSM Conference (DSM 2024), Stuttgart, Germany
Year: 2024
Editor: Harold (Mike) Stowe; Christopher Langner; Matthias Kreimeyer; Tyson R. Browning; Steven D. Eppinger; Ali A. Yassine
Author: Runar Solberg; Ali Yassine; Nicolay Worren; Tore Christiansen
Series: DSM
Institution: Norwegian University of Life Sciences: NMBU, Norway; Stevens Institute of Technology; Reconfig AS
Page(s): 098-107
DOI number: 10.35199/dsm2024.11
Abstract
When creating team-based DSMs, researchers have traditionally focused on capturing interactions due to work process interdependencies. Grouping or clustering of DSM elements (roles or units) has then been performed to minimize coordination costs. However, recent research suggests that work process interdependencies are distinct from knowledge interdependencies, which may suggest an alternative grouping criterion, namely, to maximize functional learning. We explore this possibility by proposing a survey approach to map knowledge interdependencies in addition to work process interdependencies. We use a multicriteria method, known as the analytical hierarchy process (AHP), to weigh the two criteria, and propose a revised clustering method to find groupings that satisfy both criteria.
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