Doctor of Philosophy (PhD), Ohio University, 2022, Industrial and Systems Engineering (Engineering and Technology)

In this study, I aim to solve the problem of locating mobile parcel lockers considering traffic and customer preferred modes of transportation on urban road networks. The considered road network is a real road network of Rockford, Illinois. I used the publicly available real traffic data for a subset of the considered network to estimate the traffic for the entire road network, and then used the estimated traffic data to estimate travel time for the entire road network. Travel time data, customer preferred modes of transportation, and parcel weights were incorporated in the total cost in the objective function. To solve the problem of locating mobile parcel lockers, I used a heuristic clustering algorithm and multi-threaded Dijkstra's algorithm. In addition, I compared the results of the heuristic algorithm to the exact solution of a mathematical model. Next, I compared the performance of the mobile parcel lockers to stationary parcel lockers based on a set of customer-convenience metrics in four scenarios. The results show a promising improvement in customer convenience when mobile parcel lockers are used for last-mile delivery. In addition, the considered scenarios were also compared in different controlled settings, namely, traffic, and density of demand points. Finally, the effect of the number of stops on mobile parcel lockers convenience was studied.

Committee: Dale Masel (Advisor); Saeed Ghanbartehrani (Committee Member); William Young (Committee Member); Vardges Melkonian (Committee Member); Felipe Aros-Vera (Committee Member) Subjects: Engineering; Industrial Engineering

Master of Science (MS), Ohio University, 2018, Industrial and Systems Engineering (Engineering and Technology)

Designing a resilient supply chain (SC) is imperative in today's uncertain world as SCs are in constant risk of disruptions. This thesis presents a linear mathematical model developed specifically to aid in the design of a resilient supply chain. The model minimizes the overall network costs while determining optimal demand assignment, location of facilities, and investment level in resilience. An experimental study included in this thesis analyzes the applications of the model, its benefits in terms of SC resilience, limitations, and opportunities for improvement through future research.

Committee: Felipe Aros-Vera (Advisor) Subjects: Engineering; Operations Research

Master of Science (MS), Ohio University, 2017, Industrial and Systems Engineering (Engineering and Technology)

This thesis aims to bridge the gap of designing cost effective and flexible vinyl windows Supply Chain. It is a case study- based on the problems observed during an internship by the thesis author. From the strategic and tactical levels of Supply Chain- manufacturing facility locations and suppliers have been selected based on budget restriction and annual equivalent worth analysis; number of manufacturing and assembly cells have been determined and their capacities are determined based on skilled workforce availability, production rate of Seru-assembly design, and work-hour availability. From operational level- required number of Seru cells have been determined and flexible line-Seru conversion has been performed. Performance of the conversion has been analyzed using Discrete Event Simulation and statistical analysis.

Committee: Gursel A. Suer PhD (Advisor); Dusan N. Sormaz PhD (Committee Member); Tao Yuan PhD (Committee Member); Ana Rosado Feger PhD (Committee Member) Subjects: Industrial Engineering; Management; Systems Design