Document Type
Dissertation
College
College of Engineering
Department
Industrial and Engineering Management
Degree
PhD in Engineering Management
Dissertation Defense Date
2023
First Advisor
Niknam, Seyed A.
Second Advisor
Salmon, Christian
First Committee Member
Niknam, Seyed A.
Second Committee Member
Salmon, Christian
Third Committee Member
Ekong, Joseph
Additional Committee Member(s)
Chauhan, Vedang; Cheraghi, Hossein
Abstract
"This research is focused on developing job assignment models in the context of I4.0 and has considered both workers’ physiological status and the skills required to achieve the production goals. The ultimate goal of the proposed models is to maximize productivity by matching operations tasks to workers with different required skills and various skill levels. This study also considers workers' performance indicator which is predicted by machine learning models using workers’ physiology measurement. The assignment model could provide promising results in moving toward real-time application of workers’ physiological status in order to better assign production tasks and maximize production value."
Recommended Citation
Albassam, Abdullah Mohammed, "Production planning in the context of Industry 4.0 with focus on efficient job allocation & workers' real-time status" (2023). Doctoral Dissertations - College of Engineering. 3.
https://digitalcommons.law.wne.edu/coedissertations/3
