The Experts below are selected from a list of 159 Experts worldwide ranked by ideXlab platform
Calvin B. Ernst - One of the best experts on this subject based on the ideXlab platform.
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An analysis of vascular surgical Manpower Requirements and vascular surgical rates in the United States
Journal of Vascular Surgery, 2011Co-Authors: Ira M. Rutkow, Calvin B. ErnstAbstract:Abstract Inherent in any analysis of vascular surgical Manpower must be accurate data on surgical rates and numbers of surgeons who perform vascular operations. For in-depth analysis of age-sex standardized vascular operative rates from 1979 to 1984 and a determination of current Manpower levels, data from the National Center for Health Statistics (NCHS) and the American Board of Surgery (ABS) were reviewed. During 1979 to 1984, total vascular surgical procedures increased 50%. In 1983 such operations comprised 11% of all general surgical procedures and 3% of all operations performed in this country. In 1983, 95,000 carotid endarterectomies, 74,000 peripheral bypasses, 39,000 abdominal aortic aneurysm repairs, and 28,000 aorto-iliac-femoral bypasses were performed. Through November 1984, among approximately 1600 surgeons who had applied to take the General Vascular Surgery Examination, 676 took the examination and 545 passed. What percentage of all vascular surgeons these 1600 represent is unknown. Consequently, what percentage of the total vascular operative load their own experiences represent is uncertain. As of May 1985, the Residency Review Committee for General Surgery had approved 42 fellowship positions in 29 vascular training programs. How these training figures will change to meet optimal Manpower Requirements remains undefined. Although data concerning operative rates have become more precise, forecasting Manpower needs will be met with skepticism because of unknown current and future numbers of vascular surgeons and their average caseloads. Regardless of these uncertainties, vascular surgeons, program directors, and health analysts should be aware of such information because until we know how many vascular surgeons are necessary to provide optimal care, training and certification can not rationally evolve. (J VASC SURG 1986;3:74-83.)
Ira M. Rutkow - One of the best experts on this subject based on the ideXlab platform.
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An analysis of vascular surgical Manpower Requirements and vascular surgical rates in the United States
Journal of Vascular Surgery, 2011Co-Authors: Ira M. Rutkow, Calvin B. ErnstAbstract:Abstract Inherent in any analysis of vascular surgical Manpower must be accurate data on surgical rates and numbers of surgeons who perform vascular operations. For in-depth analysis of age-sex standardized vascular operative rates from 1979 to 1984 and a determination of current Manpower levels, data from the National Center for Health Statistics (NCHS) and the American Board of Surgery (ABS) were reviewed. During 1979 to 1984, total vascular surgical procedures increased 50%. In 1983 such operations comprised 11% of all general surgical procedures and 3% of all operations performed in this country. In 1983, 95,000 carotid endarterectomies, 74,000 peripheral bypasses, 39,000 abdominal aortic aneurysm repairs, and 28,000 aorto-iliac-femoral bypasses were performed. Through November 1984, among approximately 1600 surgeons who had applied to take the General Vascular Surgery Examination, 676 took the examination and 545 passed. What percentage of all vascular surgeons these 1600 represent is unknown. Consequently, what percentage of the total vascular operative load their own experiences represent is uncertain. As of May 1985, the Residency Review Committee for General Surgery had approved 42 fellowship positions in 29 vascular training programs. How these training figures will change to meet optimal Manpower Requirements remains undefined. Although data concerning operative rates have become more precise, forecasting Manpower needs will be met with skepticism because of unknown current and future numbers of vascular surgeons and their average caseloads. Regardless of these uncertainties, vascular surgeons, program directors, and health analysts should be aware of such information because until we know how many vascular surgeons are necessary to provide optimal care, training and certification can not rationally evolve. (J VASC SURG 1986;3:74-83.)
Brad Rogers - One of the best experts on this subject based on the ideXlab platform.
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PREDICTING Manpower Requirements FOR A TRUCK -BUILDING FACILTY USING SIMULATION TECHNIQUES : A C ASE STUDY ——————————————————————————————————————————————-————
2012Co-Authors: P. Wagh, Sangram Redkar, Jerry Gintz, Brad RogersAbstract:Simulation is one of the most frequently used techniques in operations research and industrial engineering. Simula- tion can be applied in many critical areas and enables one to address issues before they become problems. The effective generation, verification and validation of simulation models is an important challenge. Due to the rapid increase in com- puting power, it is now possible to simulate significantly larger systems. In this study, simulations are used to predict the Manpower Requirements for a local truck-building facili- ty. Here, the authors developed two simulation models. The first, Model I, was used to identify the bottlenecks in the facility and study their impact on truck production. Later, an interactive simulation model (model II) was built using commercially available software (Extend 6.0) to predict the Manpower Requirements for every station depending on the planned truck production. A time-study analysis of the facil- ity was also conducted in order to obtain the data required for the simulation models. These models predicted the man- power Requirements depending on the user's input to the model for the planned truck production and the desired op- erator utilization. This study served as a demand-based deci- sion-making tool for resource allocation.
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predicting Manpower Requirements for a truck building facilty using simulation techniques a c ase study
2012Co-Authors: P. Wagh, Sangram Redkar, Jerry Gintz, Brad RogersAbstract:Simulation is one of the most frequently used techniques in operations research and industrial engineering. Simula- tion can be applied in many critical areas and enables one to address issues before they become problems. The effective generation, verification and validation of simulation models is an important challenge. Due to the rapid increase in com- puting power, it is now possible to simulate significantly larger systems. In this study, simulations are used to predict the Manpower Requirements for a local truck-building facili- ty. Here, the authors developed two simulation models. The first, Model I, was used to identify the bottlenecks in the facility and study their impact on truck production. Later, an interactive simulation model (model II) was built using commercially available software (Extend 6.0) to predict the Manpower Requirements for every station depending on the planned truck production. A time-study analysis of the facil- ity was also conducted in order to obtain the data required for the simulation models. These models predicted the man- power Requirements depending on the user's input to the model for the planned truck production and the desired op- erator utilization. This study served as a demand-based deci- sion-making tool for resource allocation.
Edward A Carlton - One of the best experts on this subject based on the ideXlab platform.
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A Simulation Analysis of Work Based Navy Manpower Requirements
2012Co-Authors: Edward A CarltonAbstract:Abstract : This thesis examines an alternative to current processes in use for developing enlisted Manpower Requirements aboard Navy surface ships. This research proposes a proof of concept for utilizing simulation in Manpower Requirements generation by examining data obtained from simulation models of the underway workload of two divisions aboard an Arleigh Burke-class destroyer. Given current Manpower levels in CF and EA divisions, a mean work backlog of 1.449 tasks and 0.21 tasks, respectively, is observed when simulating a week of underway activity. The resulting data is then used to create a regression model with the amount of work backlog as a response variable. The predicted values of work backlog are then plotted against increasing division sizes to provide insight to Manpower planners on possible effects of changing Manpower requirement levels. The models generated indicate division personnel size and maintenance arrival rates are statistically significant in CF division and maintenance arrival rates and work times are significant in a model of EA division. This process supports the further use of simulation modeling when constructing ship manning documents for future ship classes.
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A Simulation Analysis of Work Based Navy Manpower Requirements
2012Co-Authors: Edward A CarltonAbstract:Abstract : This thesis examines an alternative to current processes in use for developing enlisted Manpower Requirements aboard Navy surface ships. This research proposes a proof of concept for utilizing simulation in Manpower Requirements generation by examining data obtained from simulation models of the underway workload of two divisions aboard an Arleigh Burke-class destroyer. Given current Manpower levels in CF and EA divisions, a mean work backlog of 1.449 tasks and 0.21 tasks, respectively, is observed when simulating a week of underway activity. The resulting data is then used to create a regression model with the amount of work backlog as a response variable. The predicted values of work backlog are then plotted against increasing division sizes to provide insight to Manpower planners on possible effects of changing Manpower requirement levels. The models generated indicate division personnel size and maintenance arrival rates are statistically significant in CF division and maintenance arrival rates and work times are significant in a model of EA division. This process supports the further use of simulation modeling when constructing ship manning documents for future ship classes.
P. Wagh - One of the best experts on this subject based on the ideXlab platform.
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PREDICTING Manpower Requirements FOR A TRUCK -BUILDING FACILTY USING SIMULATION TECHNIQUES : A C ASE STUDY ——————————————————————————————————————————————-————
2012Co-Authors: P. Wagh, Sangram Redkar, Jerry Gintz, Brad RogersAbstract:Simulation is one of the most frequently used techniques in operations research and industrial engineering. Simula- tion can be applied in many critical areas and enables one to address issues before they become problems. The effective generation, verification and validation of simulation models is an important challenge. Due to the rapid increase in com- puting power, it is now possible to simulate significantly larger systems. In this study, simulations are used to predict the Manpower Requirements for a local truck-building facili- ty. Here, the authors developed two simulation models. The first, Model I, was used to identify the bottlenecks in the facility and study their impact on truck production. Later, an interactive simulation model (model II) was built using commercially available software (Extend 6.0) to predict the Manpower Requirements for every station depending on the planned truck production. A time-study analysis of the facil- ity was also conducted in order to obtain the data required for the simulation models. These models predicted the man- power Requirements depending on the user's input to the model for the planned truck production and the desired op- erator utilization. This study served as a demand-based deci- sion-making tool for resource allocation.
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predicting Manpower Requirements for a truck building facilty using simulation techniques a c ase study
2012Co-Authors: P. Wagh, Sangram Redkar, Jerry Gintz, Brad RogersAbstract:Simulation is one of the most frequently used techniques in operations research and industrial engineering. Simula- tion can be applied in many critical areas and enables one to address issues before they become problems. The effective generation, verification and validation of simulation models is an important challenge. Due to the rapid increase in com- puting power, it is now possible to simulate significantly larger systems. In this study, simulations are used to predict the Manpower Requirements for a local truck-building facili- ty. Here, the authors developed two simulation models. The first, Model I, was used to identify the bottlenecks in the facility and study their impact on truck production. Later, an interactive simulation model (model II) was built using commercially available software (Extend 6.0) to predict the Manpower Requirements for every station depending on the planned truck production. A time-study analysis of the facil- ity was also conducted in order to obtain the data required for the simulation models. These models predicted the man- power Requirements depending on the user's input to the model for the planned truck production and the desired op- erator utilization. This study served as a demand-based deci- sion-making tool for resource allocation.