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    Item type:Publication,
    Towards manufacturing-as-a-service supply chain orchestration: a decision-making scope-aware framework
    Recent advances in Manufacturing-as-a-Service (MaaS) address decision problems such as scheduling, service selection, and network configuration largely in isolation, lacking a unified orchestration perspective across layers and scopes. This paper proposes a scope-aware orchestration framework that treats orchestration scope (local, organizational, and MaaS platform levels) as an explicit decision variable. Orchestration is formulated as a scope-constrained configuration space problem, where the selected scope filters feasible configurations mapping decomposed manufacturing tasks to distributed resources, including sequencing and logistics flows. The framework structures orchestration as a configuration generation and evaluation process, including network construction, order decomposition, candidate generation, feasibility filtering, and multi-criteria assessment. Rather than a prescriptive optimization method, the framework supports user-driven exploration and comparison of alternatives, enabling decision-makers to incorporate tacit knowledge into orchestration decisions. A proof-of-concept demonstrates its applicability in distributed manufacturing environments.
    Publicationtype: Conference Paper
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    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) ; ;
    Worup, Emma B.
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    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 Article
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