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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Mass Customization And Its Curricular Implications For Four-Year Degree Programs In Manufacturing Technologies, R. Balamuralikrishma, Kurt A. Rosentrater, Mark Rajai
Mass Customization And Its Curricular Implications For Four-Year Degree Programs In Manufacturing Technologies, R. Balamuralikrishma, Kurt A. Rosentrater, Mark Rajai
Kurt A. Rosentrater
Mass customization is fast emerging as a popular business strategy which aims to also cater to individual expressed needs of end users at prices closely comparable to mass produced items. Companies are able to switch to this mode of operation by primarily making their own operations demand-driven, flexible systems and asking their suppliers to do the same. Customers by and large are delighted to be part of this new kind of supply chain and are willing to invest time to specify what exactly they want provided businesses are willing to keep their end of the bargain in terms of high …
An Adaptive System Identification Model Of The Biomechanical Response Of The Human Trunk During Sudden Loading, Brad M. Lawrence, Gregory D. Buckner, Gary A. Mirka
An Adaptive System Identification Model Of The Biomechanical Response Of The Human Trunk During Sudden Loading, Brad M. Lawrence, Gregory D. Buckner, Gary A. Mirka
Gary A. Mirka
Sudden loading injuries to the low back are a concern. Current models are limited in their ability to quantify the time-varying nature of the sudden loading event. The method of approach used six males who were subjected to sudden loads. Response data (EMG and kinematics) were input into a system identification model to yield time-varying torso stiffness estimates. The results show estimates of system stiffness in good agreement with values in the literature. The average root mean square error of the model’s predictions of sagittal motion was equal to 0.1deg. In conclusion, system identification can be implemented with minimal error …
Neuro-Physiologically-Driven Adaptive Automation To Improve Decision Making Under Stress, Michael C. Dorneich, Patricia May Ververs, Stephen D. Whitlow, Santosh Mathan, James Carciofini, Trent Reusser
Neuro-Physiologically-Driven Adaptive Automation To Improve Decision Making Under Stress, Michael C. Dorneich, Patricia May Ververs, Stephen D. Whitlow, Santosh Mathan, James Carciofini, Trent Reusser
Michael C. Dorneich
The advent of netted communications and a wide array of battlefield sensors is enabling real-time information streaming and asset management. However, the burden of information management is placed solely on the receiver of the information. Honeywell Laboratories developed a Communications Scheduler (CoS), an adaptive information management system for the dismounted Soldier, driven by an assessment of the individual's current cognitive capacity to process incoming information, in order to improve decision making under high task load conditions. An evaluation was conducted to demonstrate whether cognitive capacity to perform under differing task loads could be detected using neuro-physiological sensors and then if …
Evaluation Of A Tactile Navigation Cueing System And Real-Time Assessment Of Cognitive State, Michael C. Dorneich, Patricia May Ververs, Stephen D. Whitlow, Santosh Mathan
Evaluation Of A Tactile Navigation Cueing System And Real-Time Assessment Of Cognitive State, Michael C. Dorneich, Patricia May Ververs, Stephen D. Whitlow, Santosh Mathan
Michael C. Dorneich
This paper details an evaluation of a tactile cueing system that was created to enhance the navigation of a complex route. The complexity of the task along with simultaneously challenging cognitive tasks also enabled the real-time assessment of cognitive state in various task load conditions. Honeywell has been working with the US Army's Future Force Warrior program to develop adaptive systems that will effectively manage the available cognitive resources used for information processing by the dismounted Soldier in highly dynamic, information rich environments. The appropriate allocation of cognitive resources is key to managing multiple tasks, focusing on the most important …