Date of Award


Degree Name

Master of Science


Industrial Engineering


Amit J. Lopes


Supply chain operation performance is a much-discussed topic over the last decade which will lead to optimizing the resources required to provide the necessary level of customer service to a specific segment and improve customer service through increased product availability and reduced order cycle time. During disruption in supply chain, performance parameter changes, and the overall supply chain cost at each stage increases. External factors such as labor shortages, delayed and costly supplies, and decreased demand also contribute to this cost. This thesis work presents a research-focused analysis of a small pizza shop, under circumstances that include the loss of employees, suppliers and delays, and analyzed the increased cost of supplies. As part of this research, a predictive simulation model of the working flow and supply chain of the restaurant using SIMIO software was created to evaluate the effects of adjusting shift resources and switching replenishment strategies. The goal of this research was to help determine the optimal resources allocation at each workstation according to availability and utilization. The simulation model explored the impact of supplier replenishment on the shopâ??s key performance indicators (KPIs). The research evaluated various scenarios and experiments to evaluate the outputs (i.e., KPIs) and provided recommendations to improve the shopâ??s resource allocation. Finally, a cost estimation optimization model was developed to work under supply chain disruption scenarios.




Received from ProQuest

File Size

74 p.

File Format


Rights Holder

Amit Kumar Saha