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Abstract Manufacturing supply networks (MSNs) involve group decisions to achieve group goals and network decisions to achieve network goals. These decisions are made across multiple levels of a decision hierarchy. Resilience—the ability to maintain the satisfactory network functionality despite disruptions, is a vital network goal. When designing MSNs for resilience, the resilience and group goals often conflict, requiring simultaneous consideration of network and group decisions. Limited information in the early stages of MSN design necessitates focusing on design exploration. Hence, facilitating “co-design exploration”—a simultaneous exploration of network and group solution spaces, is crucial. Current approaches for designing MSNs for resilience do not support simultaneous consideration of network and group decisions. To bridge this gap, we present the co-design exploration of MSNs for resilience (CoDE-MR) framework to facilitate co-design exploration of the network and the groups. The CoDE-MR framework allows designers to model multilevel network and group decisions and their interactions, manage disruptions, and visualize and simultaneously explore the multilevel network and group solution spaces. In the framework, we integrate a combination of Preemptive and Archimedean formulations of the coupled-compromise decision support problem construct with resilience index metric and interpretable self-organizing map (iSOM)-based visualization to facilitate co-design exploration of MSNs for resilience. The framework's efficacy is demonstrated using a steel MSN problem, considering network and group decisions across two levels. The decision-centric framework is generic and well suited for the co-design exploration of multilevel systems to ensure resilience.
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Co-designing for Environmental Engagement: Moving inside people outside and moving outside people outdoors
We developed, with youth, a framework categorizing how people interact with nature. Our framework, inside versus outside versus outdoors, was developed using assets-based co-design principles with a small group of young men. Artifact analysis from co-design sessions found that our group readily applied this framework to community park infrastructure, community and individual behaviors observed within parks, and to support conversations involving participants’ personal values and sociocultural contexts.
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- Award ID(s):
- 2125526
- PAR ID:
- 10436865
- Editor(s):
- Slotta, Jim; Charles, Liz; Breuleux, Alain
- Date Published:
- Journal Name:
- International Conference of the Learning Sciences (ICLS)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Manufacturing Supply Networks (MSNs) involve group decisions to achieve group goals and network decisions to achieve network goals. These decisions are made across multiple levels of a decision hierarchy. Given the frequent disruptions in MSNs, ‘resilience’ — the ability to maintain satisfactory network functionality despite disruptions, is a vital network goal. When designing MSNs for resilience, the resilience and group goals often conflict, requiring simultaneous consideration of network and group decisions. Limited information in the early stages of MSN design necessitates focusing on design exploration. Hence, facilitating ‘co-design exploration’ — a simultaneous exploration of network and group solution spaces is crucial. Current approaches for designing MSNs for resilience do not support simultaneous consideration of network and group decisions. To bridge this gap, we present the Co-Design Exploration of MSNs for Resilience (CoDE-MR) framework to facilitate co-design exploration of the network and the groups. CoDE-MR framework allows designers to model multilevel network and group decisions and their interactions, manage disruptions, and visualize and simultaneously explore the multilevel network and group solution spaces. In the framework, we integrate a combination of Preemptive and Archimedean formulations of the coupled-compromise Decision Support Problem construct with Resilience Index metric and interpretable Self-Organizing Map (iSOM)-based visualization to facilitate co-design exploration of MSNs for resilience. The framework’s efficacy is demonstrated using a steel MSN test problem, considering network and group decisions across two levels. The use of information flow and generic constructs makes the framework generic and well-suited for co-design exploration of multilevel systems to ensure resilience.more » « less
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