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- All Subjects: Complexity
- Creators: Fluery, Julie
- Creators: Gurpreet Singh
Description
The healthcare system is plagued with increasing cost and poor quality outcomes. A major contributing factor for these issues is that outdated leadership practices, such as leader-centricity, linear thinking, and poor readiness for innovation, are being used in healthcare organizations. Through a qualitative case study analysis of innovation implementation, a new framework of leadership was uncovered. This framework presented new characteristics of leaders that led to the successful implementation of an innovation. Characteristics uncovered included boundary spanning, risk taking, visioning, leveraging opportunity, adaptation, coordination of information flow, and facilitation. These characteristics describe how leaders throughout the system were able to influence information flow, relationships, connections, and organizational context to implement innovation.
ContributorsWeberg, Daniel Robert (Author) / Fluery, Julie (Thesis advisor) / Malloch, Kathy (Thesis advisor) / Porter-O'Grady, Timothy (Committee member) / Hagler, Debra (Committee member) / Arizona State University (Publisher)
Created2013
Description
Modern automotive and aerospace products are large cyber-physical system involving both software and hardware, composed of mechanical, electrical and electronic components. The increasing complexity of such systems is a major concern as it impacts development time and effort, as well as, initial and operational costs. Towards the goal of measuring complexity, the first step is to determine factors that contribute to it and metrics to qualify it. These complexity components can be further use to (a) estimate the cost of cyber-physical system, (b) develop methods that can reduce the cost of cyber-physical system and (c) make decision such as selecting one design from a set of possible solutions or variants. To determine the contributions to complexity we conducted survey at an aerospace company. We found out three types of contribution to the complexity of the system: Artifact complexity, Design process complexity and Manufacturing complexity. In all three domains, we found three types of metrics: size complexity, numeric complexity (degree of coupling) and technological complexity (solvability).We propose a formal representation for all three domains as graphs, but with different interpretations of entity (node) and relation (link) corresponding to the above three aspects. Complexities of these components are measured using algorithms defined in graph theory. Two experiments were conducted to check the meaningfulness and feasibility of the complexity metrics. First experiment was mechanical transmission and the scope of this experiment was component level. All the design stages, from concept to manufacturing, were considered in this experiment. The second experiment was conducted on hybrid powertrains. The scope of this experiment was assembly level and only artifact complexity is considered because of the limited resources. Finally the calibration of these complexity measures was conducted at an aerospace company but the results cannot be included in this thesis.
ContributorsGurpreet Singh (Author) / Shah, Jami (Thesis advisor) / Runger, George C. (Committee member) / Davidson, Joseph (Committee member) / Arizona State University (Publisher)
Created2011