In-space manufacturing (ISM) presents unique challenges due to its complexity, resource constraints, and the need for strategic planning. A structured guideline is essential for ensuring the success of ISM projects. This study presents the ISM2 as the instantiation of the interpretive structural modeling methodology for in-space manufacturing, to provide a strategic framework for ISM by identifying and prioritizing key determinants for successful implementation. The study first conducted a content-centric literature review and engaged a focus group of academic researchers and industry experts to identify 20 critical determinants of ISM. It then applied interpretive structural modeling (ISM) to determine the optimal sequence of these determinants. An interpretive model and a logic knowledge base matrix were also used to develop a structured guideline for ISM projects, based on their driving and dependence power. The proposed guideline enhances the understanding of ISM determinants, enabling stakeholders to develop strategic roadmaps to implement in-space manufacturing projects effectively.
ISM2: Interpretive structural modelling methodology in the context of in-space manufacturing for a strategic space project guideline / De Marco, Chiara Giuseppina; Colabianchi, Silvia; Costantino, Francesco. - In: ACTA ASTRONAUTICA. - ISSN 0094-5765. - 236:(2025), pp. 636-655. [10.1016/j.actaastro.2025.07.029]
ISM2: Interpretive structural modelling methodology in the context of in-space manufacturing for a strategic space project guideline
Colabianchi, Silvia;Costantino, Francesco
2025
Abstract
In-space manufacturing (ISM) presents unique challenges due to its complexity, resource constraints, and the need for strategic planning. A structured guideline is essential for ensuring the success of ISM projects. This study presents the ISM2 as the instantiation of the interpretive structural modeling methodology for in-space manufacturing, to provide a strategic framework for ISM by identifying and prioritizing key determinants for successful implementation. The study first conducted a content-centric literature review and engaged a focus group of academic researchers and industry experts to identify 20 critical determinants of ISM. It then applied interpretive structural modeling (ISM) to determine the optimal sequence of these determinants. An interpretive model and a logic knowledge base matrix were also used to develop a structured guideline for ISM projects, based on their driving and dependence power. The proposed guideline enhances the understanding of ISM determinants, enabling stakeholders to develop strategic roadmaps to implement in-space manufacturing projects effectively.| File | Dimensione | Formato | |
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DeMarco_ISM2_2025.pdf
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Note: https://doi.org/10.1016/j.actaastro.2025.07.029
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