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Mumen Rababah, an Assistant Professor of Industrial and Systems Engineering at The Hashemite University (HU). He holds a Ph.D. and Master in Industrial and Systems Engineering form Auburn University (AU). Before attending AU, he was awarded a full governmental scholarship from the Ministry of Education in Jordan to earn a B.Sc. in Industrial Engineering, and a scholarship from the Scientific Research Support Fund to receive his M.Sc. in Industrial Engineering, both from Jordan University of Science and Technology (JUST).
Mr. Rababah started his work experience in his major as a Teaching Assistant while he was a graduate student at JUST for around two years between 2014 and 2016. As a result of his outstanding performance, he worked for JUST as a part-time lecturer immediately after his graduation. In 2016, he got another lecturer job at The Hashemite University.
According to his high performance and evaluation during Fall 2016, he was selected to be a full-time faculty member at The Hashemite University until August 2017, when they decided to sponsor him to earn a Ph.D. degree in his major. Durign his Ph.D. at AU, he worked as a teaching and research assistant since August 2017 at AU. The research experience that shaped his Ph.D. dissertation started when he worked for two years as a research associate under The Center of Physical Internet at Georgia Institute of Technology (GT) on improving the United Parcel Service (UPS) network using simulation.
Meanwhile, he is working on multiple research papers that are extracted from his dissertation, and he is focusing to specify his research area in the field of simulation, logistics, and big data analytics, especially because he worked with two of the well-known professors in these fields, Prof. Jeffrey Smith and Prof. Benoit Montreuil.
RESEARCH INTEREST
RESEARCH INTEREST
My professional journey is deeply rooted in the intersection of simulation, logistics and parcel delivery, and data analysis. As an Industrial and Systems Engineering Ph.D. and academic leader, I view simulation as a critical diagnostic and predictive tool. Whether I am evaluating parcel delivery networks through agent-based simulation or teaching courses on Lean Six Sigma and Advanced Applications in Simulation, I focus on modeling complex systems by defining their specific parameters and processes. By creating highly accurate digital twins using software like AnyLogic, Simio, and Arena, we can integrate Lean Six Sigma principles to pinpoint bottlenecks, eliminate waste, and reduce process variability before a single physical change is made.
I was naturally drawn to this field because it offers a "risk-free" sandbox for robust optimization. Throughout my applied research—such as improving UPS network operations with the Physical Internet Center at Georgia Tech —I have seen firsthand how simulation prevents the sacrifice of physical resources and capital. If a logistics company wants to alter their last-mile delivery routes or restructure their supply chain, they no longer have to rely on expensive trial-and-error. Ultimately, my goal is to bridge the gap between theoretical models and practical industry applications, ensuring that crucial business investments are backed by rigorous, data-driven research that minimizes financial risk.
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