Abstract The Manufacturing-as-a-Service (MaaS) model has been proposed by the research community and has been given significant attention by the industry as it holds the promise for agility and resilience of production networks. However, there are significant challenges (such as unforeseen events) that should be overcome for successful implementation of the MaaS model. The objective of this work is to enable companies to mitigate both short- and medium-term unforeseen events and to support them to participate in a dynamic MaaS network. To address these needs, five research objectives are suggested and discussed: 1) actionable propositions for adapting supply chains or internal production; 2) dynamic supply chain generation; 3) building trust in MaaS networks; 4) dynamic planning and scheduling of production processes; 5) dynamic assembly and disassembly. Moreover, a novel digital platform for implementing and integrating these objectives is presented. This paper presents the architectural foundations and methodological framework; empirical validation through two industrial pilots—one from the automotive domain (Continental, CZ) and one from the bicycle industry (Aska, BE)—is ongoing, with the validation methodology and target metrics defined herein. The work takes place in the context of the research and innovation action (RIA) project RAASCEMAN (Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks), funded by the Horizon Europe program.
Sidorenko et al. (2026) studied this question.