Graduation Semester and Year




Document Type


Degree Name

Doctor of Philosophy in Industrial Engineering


Industrial and Manufacturing Systems Engineering

First Advisor

Erick C Jones


This research describes a framework that minimizes uncertainty and risk in lead time and excessive costs associated with multi-automating systems in very complex and dynamic environments. Further, by seeking to reduce risk by increasing the reliability component of the system, crucial inventories levels are maintained and leveraged in complex an environment that provides additional organization cost savings and enhanced flexibility by enhancing their ability to optimize inventories. Inventory control is crucial for any supply chain as it drives the costs which influence business decision models. The reliability of the systems that maintain the important inventories in complex operations is crucial in that it determines the organizational costs and operational failures. Further, preliminary studies on the performance of multiple automated systems that maintained the status on crucial inventory were conducted for the International Space Station (ISS). The longitudinal results revealed that the capability to test, evaluate and predict the performance of automated system technologies required long lead times, redundant and excessive system testing, and end user acceptance. This type of understanding lead researchers to hypothesize that by utilizing a framework to identify, evaluate, and modify the testing approaches to minimize the cost to determine system reliability, usability, and acceptance to send to space, excessive lead times could be reduced by months and possibly years for use of these type of systems. In addition, this research describes a framework that minimizes uncertainty and risk in lead time and excessive costs multi-automating systems in complex environments


Engineering | Operations Research, Systems Engineering and Industrial Engineering


Degree granted by The University of Texas at Arlington