Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


SB_Dissertation_30May2016.pdf (6.19 MB)

ETD Abstract Container

Abstract Header

A Theoretical Framework For Evaluating Mental Workload Resources in Human Systems Design for Manufacturing Operations

Bommer, Sharon Claxton
http://rave.ohiolink.edu/etdc/view?acc_num=wright1464648924

Abstract Details

2016, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
Manufacturing is a human-driven process that applies energy and manpower to produce consumer goods. In repetitive task processes like manufacturing systems, optimal performance is extremely important for the production employee and the company. In the general fast pace of manufacturing operations, there is the potential for operator errors, which correlates to possible safety issues and loss of revenue. This research explores the influence of cognitive resources on operator performance in manufacturing operations using the Multiple Resource Theory (MRT) and mental workload measures. Computer simulation models and mathematical modeling with Improved Performance Research Integration Tool (IMPRINT) were used to assess mental workload resources to improve human system design for performance of the shop floor employee. This research presents the design, analysis and experimental implementation of a theoretical framework that provides a systematic approach for measuring mental workload using a combination of analytical and empirical techniques. Two experiments are presented to show the effectiveness of the proposed framework. As manufacturing operations become more complex, models can be used to provide recommendations for operator mental workload capacity planning. Therefore, this work is important to industry as manufacturing operations are changing by requiring more complex procedures, which increases the cognitive demand of the operator.
Adedeji Badiru, Ph.D., P.E. (Committee Member)
Chandler Phillips, M.D., P.E. (Committee Member)
Frank Ciarallo, Ph.D. (Committee Member)
Mark Derriso, Ph.D. (Committee Member)
Mary Fendley, Ph.D. (Advisor)
151 p.
Industrial Engineering
Human Performance, Mental Workload, Framework, Human Systems Integration, Manufacturing, Cognitive Ergonomics

Recommended Citations

Citations

  • Bommer, S. C. (2016). A Theoretical Framework For Evaluating Mental Workload Resources in Human Systems Design for Manufacturing Operations [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464648924

    APA Style (7th edition)

  • Bommer, Sharon. A Theoretical Framework For Evaluating Mental Workload Resources in Human Systems Design for Manufacturing Operations. 2016. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1464648924.

    MLA Style (8th edition)

  • Bommer, Sharon. "A Theoretical Framework For Evaluating Mental Workload Resources in Human Systems Design for Manufacturing Operations." Doctoral dissertation, Wright State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464648924

    Chicago Manual of Style (17th edition)

wright1464648924
2,477
© 2016, some rights reserved.Creative Commons License A Theoretical Framework For Evaluating Mental Workload Resources in Human Systems Design for Manufacturing Operations by Sharon Claxton Bommer is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.