“…The FUS provides information for defining training and job assignment patterns and collecting management preference values for the current and several plausible alternative approaches to training, assigning, and utilizing airmen in a particular specialty over the span of their Air Force careers (see Vaughan, et al, 1989;Yadrick, et al, 1987). This complex area required the development of several new technologies in order to meet the needs of the system.…”
Section: Field Utilization Subsystem (Fus) Technologiesmentioning
confidence: 99%
“…This procedure was validated with two additional specialties and was found to be realistic and cost effective . The final recommended procedure is one which combines the power of statistical clustering with the specialty judgements of SMEs, thus capturing the advantages of both methods Vaughan, Mitchell, et al, 1989).…”
Section: Task Clusternmentioning
confidence: 99%
“…This was done successfully in the TDS R&D project, by reanalyzing OA data by average assignment period (TAFMS year groups) and combining the static OA data with statistics from a Job and Training History survey as well as flow statistics from ATC and the Uniform Airman Record (UAR) files. By using a modeling mechanism to pool all reassignees at a particular TAFMS point into a single group (a "collect"-see Chapter 2), we were able to use percent of total group membership as an assignment probability, thus solving one of the most difficult estimation problems in the project Vaughan, et al, 1989). This made possible the development of a dynamic simulation of AFSs which can estimate annual job assignment and training program attendance probabilities with a reasonable degree of accuracy (Yadrick, et al, 1989;.…”
Section: Utilization and Training Pattern Modelingmentioning
confidence: 99%
“…By using a modeling mechanism to pool all reassignees at a particular TAFMS point into a single group (a "collect"-see Chapter 2), we were able to use percent of total group membership as an assignment probability, thus solving one of the most difficult estimation problems in the project Vaughan, et al, 1989). This made possible the development of a dynamic simulation of AFSs which can estimate annual job assignment and training program attendance probabilities with a reasonable degree of accuracy (Yadrick, et al, 1989;. Given this technological breakthrough, the remaining problems in modeling of AF specialties were solvable and the TDS became a reality .…”
Section: Utilization and Training Pattern Modelingmentioning
confidence: 99%
“…Many of these are detailed in the TDS FinaL Report (see Vaughan, et al, 1989), and other TDS documentation (see TDS User Guide, etc.). Some of the advanced potential applications were outlined in earlier chapters, as they relate to current AFHRL R&D projects.…”
Section: Training Decisions Technology Potential Applicationsmentioning
“…The FUS provides information for defining training and job assignment patterns and collecting management preference values for the current and several plausible alternative approaches to training, assigning, and utilizing airmen in a particular specialty over the span of their Air Force careers (see Vaughan, et al, 1989;Yadrick, et al, 1987). This complex area required the development of several new technologies in order to meet the needs of the system.…”
Section: Field Utilization Subsystem (Fus) Technologiesmentioning
confidence: 99%
“…This procedure was validated with two additional specialties and was found to be realistic and cost effective . The final recommended procedure is one which combines the power of statistical clustering with the specialty judgements of SMEs, thus capturing the advantages of both methods Vaughan, Mitchell, et al, 1989).…”
Section: Task Clusternmentioning
confidence: 99%
“…This was done successfully in the TDS R&D project, by reanalyzing OA data by average assignment period (TAFMS year groups) and combining the static OA data with statistics from a Job and Training History survey as well as flow statistics from ATC and the Uniform Airman Record (UAR) files. By using a modeling mechanism to pool all reassignees at a particular TAFMS point into a single group (a "collect"-see Chapter 2), we were able to use percent of total group membership as an assignment probability, thus solving one of the most difficult estimation problems in the project Vaughan, et al, 1989). This made possible the development of a dynamic simulation of AFSs which can estimate annual job assignment and training program attendance probabilities with a reasonable degree of accuracy (Yadrick, et al, 1989;.…”
Section: Utilization and Training Pattern Modelingmentioning
confidence: 99%
“…By using a modeling mechanism to pool all reassignees at a particular TAFMS point into a single group (a "collect"-see Chapter 2), we were able to use percent of total group membership as an assignment probability, thus solving one of the most difficult estimation problems in the project Vaughan, et al, 1989). This made possible the development of a dynamic simulation of AFSs which can estimate annual job assignment and training program attendance probabilities with a reasonable degree of accuracy (Yadrick, et al, 1989;. Given this technological breakthrough, the remaining problems in modeling of AF specialties were solvable and the TDS became a reality .…”
Section: Utilization and Training Pattern Modelingmentioning
confidence: 99%
“…Many of these are detailed in the TDS FinaL Report (see Vaughan, et al, 1989), and other TDS documentation (see TDS User Guide, etc.). Some of the advanced potential applications were outlined in earlier chapters, as they relate to current AFHRL R&D projects.…”
Section: Training Decisions Technology Potential Applicationsmentioning
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.