Analyzing the Supply Chain Operation of a Fast-Food Restaurant Using Simulation Modeling and Developing a Cost Estimation Optimization Model in the Disruption Period
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 shop’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 shop’s resource allocation. Finally, a cost estimation optimization model was developed to work under supply chain disruption scenarios.
Operations research|Management|Economics|Industrial engineering
Saha, Amit Kumar, "Analyzing the Supply Chain Operation of a Fast-Food Restaurant Using Simulation Modeling and Developing a Cost Estimation Optimization Model in the Disruption Period" (2022). ETD Collection for University of Texas, El Paso. AAI30242536.