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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Systems statistical engineering (2)
- Accident investigation (1)
- Acquisition programs (1)
- Acquisition system development (1)
- Acquisition system reform (1)
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- Architecture viewpoint (1)
- Body of knowledge (1)
- Causal Bayesian hierarchical models (1)
- Complex system pathologies (1)
- Consistency across service elements and international forces (1)
- Defense acquisition system (1)
- HFACS (1)
- Hierarchical systems (1)
- High workload (1)
- Human view development (1)
- Human view relationships (1)
- Human viewpoint (1)
- Inadequate communications (1)
- Inner-rater reliability (1)
- Interconnectedness (1)
- Pathologies (1)
- Poor training (1)
- Simulation model outcomes (1)
- System engineering (1)
- System governance functions (1)
- System outcomes (1)
- System pathologies (1)
- System principles (1)
- Systemic pathologies (1)
- Systems theory (1)
Articles 1 - 6 of 6
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
An Attribute Agreement Method For Hfacs Inter-Rater Reliability Assessment, Teddy Steven Cotter, Veysel Yesilbas
An Attribute Agreement Method For Hfacs Inter-Rater Reliability Assessment, Teddy Steven Cotter, Veysel Yesilbas
Engineering Management & Systems Engineering Faculty Publications
Inter-rater reliability can be regarded as the degree of agreement among raters on a given item or a circumstance. Multiple approaches have been taken to estimate and improve inter-rater reliability of the United States Department of Defense Human Factors Analysis and Classification System used by trained accident investigators. In this study, three trained instructor pilots used the DoD-HFACS to classify 347 U.S. Air Force Accident Investigation Board (AIB) Class-A reports between the years of 2000 and 2013. The overall method consisted of four steps: (1) train on HFACS definitions, (2) verify rating reliability, (3) rate HFACS reports, and (4) random …
A Method For Identification, Representation, And Assessment Of Complex System Pathologies In Acquisition Programs, Charles B. Keating, Polinpapilinho F. Katina, Keith F. Joiner, Joseph M. Bradley, Raed M. Jaradat
A Method For Identification, Representation, And Assessment Of Complex System Pathologies In Acquisition Programs, Charles B. Keating, Polinpapilinho F. Katina, Keith F. Joiner, Joseph M. Bradley, Raed M. Jaradat
Engineering Management & Systems Engineering Faculty Publications
Acquisition programs continue to struggle with increasing complexity. High degrees of emergence, interconnectedness, and uncertainty are the norm rather than exception. The purpose of this research is to explore extension of ongoing research in complex system pathologies for acquisition programs. Significant advances have been made in development of deeper understanding of the nature of pathologies (deviations from healthy system function) and their implications for performance of complex systems. Complex system pathologies represent violations of underlying system principles. These violations negatively affect system governance functions (control, oversight, accountability) resulting in degradation of system performance. Greater understanding of complex system pathologies offers …
Systems Statistical Engineering – Systems Hierarchical Constraint Propagation, Teddy Steven Cotter, Peggy A. Quigley
Systems Statistical Engineering – Systems Hierarchical Constraint Propagation, Teddy Steven Cotter, Peggy A. Quigley
Engineering Management & Systems Engineering Faculty Publications
Cotter (ASEM-IAC 2012, 2015, 2016, 2017): (1) identified the gaps in knowledge that statistical engineering needed to address and set forth a working definition of and body of knowledge for statistical engineering; (2) proposed a systemic causal Bayesian hierarchical model that addressed the knowledge gap needed to integrate deterministic mathematical engineering causal models within a stochastic framework; (3) specified the modeling methodology through which statistical engineering models could be developed, diagnosed, and applied to predict systemic mission performance; and (4) proposed revisions to and integration of IDEF0 as the framework for developing hierarchical qualitative systems models. In the last work, …
A Systems Theory Based Examination Of Failure In Acquisition System Reform, Charles B. Keating, Joseph M. Bradley, Polinpapilinho F. Katina, Craig Arndt
A Systems Theory Based Examination Of Failure In Acquisition System Reform, Charles B. Keating, Joseph M. Bradley, Polinpapilinho F. Katina, Craig Arndt
Engineering Management & Systems Engineering Faculty Publications
The defense acquisition system has been the source of intense scrutiny and calls for reform for over four decades. This research is to examine the contributions of Systems Theory to enhance prospects related to acquisition reform. Systems Theory offers a set of principles, laws, and concepts that explain the behavior of complex systems. Although the acquisition system and constituent programs have been critiqued and examined from multiple perspectives, they have never been the subject of exploration from Systems Theory. Recent advances in Systems Theory have identified 83 different potential system pathologies that can result in degraded system performance or outright …
Chapter 7: Human View, Holly A.H. Handley
Chapter 7: Human View, Holly A.H. Handley
Engineering Management & Systems Engineering Faculty Publications
No abstract provided.
A Proposed Taxonomy For The Systems Statistical Engineering Body Of Knowledge, Teddy Steven Cotter
A Proposed Taxonomy For The Systems Statistical Engineering Body Of Knowledge, Teddy Steven Cotter
Engineering Management & Systems Engineering Faculty Publications
In the ASEM-IAC 2012, Cotter (2012) identified the gaps in knowledge that statistical engineering needs to address, explored additional gaps in knowledge not addressed in the prior works, and set forth a working definition of and body of knowledge for statistical engineering. In the ASEM-IAC 2015, Cotter (2015) proposed a systemic causal Bayesian hierarchical model that addressed the knowledge gap needed to integrate deterministic mathematical engineering causal models within a stochastic framework. Missing, however, is the framework for specifying the hierarchical qualitative systems structures necessary and sufficient for specifying systemic causal Bayesian hierarchical models. In the ASEM-IAC 2016, Cotter (2016) …