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Item type:Publication, Access status: without files , A rule-based methodology for generating and prioritizing feasible reorchestration scenarios in Manufacturing-as-a-ServiceIn Manufacturing-as-a-Service (MaaS) environments, disruptions such as machine breakdowns or supplier failures require rapid reorchestration of production across distributed internal and external resources. This task is challenging because recovery options must satisfy multiple operational constraints, including capacity, capability compatibility, lead time, cost, and managerial policies. While existing literature addresses service selection, optimization, simulation, and multi-criteria evaluation, the formal generation of feasible reorchestration scenarios under MaaS constraints remains insufficiently structured. This paper proposes a rule-based methodological framework for generating and prioritizing feasible reorchestration scenarios in MaaS disruption contexts. The approach combines disruption-response mapping, scenario construction rules, feasibility filtering, and multi-criteria prioritization based on operational performance indicators. A representative MaaS case study is used to validate the methodology under internal, external, and hybrid response configurations. The results show that the proposed method can systematically construct feasible recovery scenarios and transparently prioritize them according to decision-maker preferences.Publicationtype: Conference Paper29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Manufacturing-as-a-Service (MaaS) to Increase value chain resilience and circularity: towards a systematic methodology for manufacturing process servitization and value chain orchestration(Elsevier, 2025-07); ; ; In the current dynamic, volatile, and uncertain world, manufacturing companies face increasing pressure to respond efficiently and rapidly to disruptions, while at the same time adopting sustainable and circular practices. This paper focuses on Manufacturing-as-a-Service (MaaS) for enhancing resilience and promoting circularity in manufacturing value chains. Based on the limitations of existing MaaS research and scarcity of implementations, a systematic methodology is proposed for manufacturing process servitization, manufacturing process and product matching, and manufacturing process connection, collaboration and execution. This methodology supports the scaling of MaaS to a large variety of manufacturing processes, enabling dynamic distributed networks of manufacturing resources. Resiliency enhancing processes are outlined using MaaS for creating alternative value chain orchestrations, as responses to disruptions. Moreover, processes promoting circularity in relation to MaaS and resilience are outlined. This act as support for finding appropriate value chains partners to enable a circular product system and in increasing resilience and circularity simultaneously by reusing and remanufacturing critical components.Publicationtype: Journal Article27 25