Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4898
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dc.contributor.authorWaterloo Tsutsui, Qian Shi-
dc.contributor.authorIan Walter, Amanda Wei-
dc.contributor.authorChristopher Williams, Daniel DeLaurentis-
dc.contributor.authorJitesh Panchal-
dc.date.accessioned2023-05-06T23:33:32Z-
dc.date.available2023-05-06T23:33:32Z-
dc.date.issued2023-05-01-
dc.identifier.citationAPAen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4898-
dc.descriptionSYM Presentationen_US
dc.description.abstractThe research team developed a model-based acquisition decision support tool (i.e., the decision engine) for additive manufacturing materials and technologies selection. In order to develop the framework, the team focused on a use case involving aircraft single-component (i.e., an aileron bellcrank) design and manufacturing. In the use case, the team identified the key decision factors in considering additive manufacturing alternatives against traditional manufacturing methods. Preliminary findings indicate that the decision engine provides the users with an algorithmic view of the variables to make an optimized decision regarding where and how additive manufacturing can have the most impact. To this end, the team designed the user interface in such a way that the decision engine visualizes the relative performance of each alternative considered, thereby assisting a stakeholder in the decision-making process. More specifically, the decision engine provides quantitative information about the usefulness of each alternative relative to others. As a result, the decision engine supports stakeholders in making informed decisions on additive manufacturing opportunities throughout the mission engineering and sustainment defense acquisition.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;SYM-AM-23-132-
dc.subjectadditive manufacturingen_US
dc.subjectsystem of systemsen_US
dc.subjectmodel-based acquisition approachen_US
dc.subjectdecision-support toolen_US
dc.titleDecision Making for Additive Manufacturing in Sustainable Defense Acquisitionen_US
dc.typePresentationen_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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