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."

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