Covid-19 is unlike any coronavirus we have seen before, characterized mostly by the ease with which it spreads. This analysis utilizes an SEIR model built to accommodate various populations to understand how different testing and infection rates may affect hospitalization and death. This analysis finds that infection rates have a significant impact on Covid-19 impact regardless of the population whereas the impact that testing rates have in this simulation is not as pronounced. Thus, policy-makers should focus on decreasing infection rates through targeted lockdowns and vaccine rollout to contain the virus, and decrease its spread.

Lean philosophy is a set of practices aimed at reducing waste in an industry/enterprise. By eliminating the aspects of a system that do not add value, the system process will be able to work continuously in a flow, and as a result have a shorter cycle time. With a shorter cycle time, less resources are diminished, and efforts can be properly distributed in order to achieve maximum efficiency. In relation, Six Sigma is a process that aims to reduce the variability of a system, and in turn reduce the number of defects and improve overall quality of a product/process. For this reason, Lean and Six Sigma go hand-in-hand. Cutting out non-value adding steps in a process will increase efficiency and perfecting the steps still in place will improve quality. Both aspects are important when it comes to the success of a business practice. DNASU Plasmid Repository would be a major benefactor of the Lean Six Sigma process. The process of cloning DNA requires great attention to detail and time in order to avoid defects. For instance, any mistake made in the bacteria growth process, such as contamination, will result in a significant amount of time being wasted. In addition, the purification of DNA steps also necessitates vigilant observation since the procedure is highly susceptible to little mistakes that could have big impacts. The goal of this project will be to integrate Lean Six Sigma methodology into the DNASU laboratory. By applying numerous aspects of Lean Six Sigma, the DNA repository will be able to improve its efficiency and quality of processes and obtain its highest rate of success.

Lean Six Sigma is a methodology used to improve performance by reducing waste and process variation (“Everything you need to know about lean six sigma”). It is a methodology that is used all around the world in industries such as finance, manufacturing, healthcare, the military, IT, and more. Many working professionals seek to obtain some sort of Lean Six Sigma training to improve projects they are a part of at their companies. Arizona State University (ASU) offers a Green Belt Lean Six Sigma Certification program to both online and custom participants. These participants are expected to follow the coursework, complete ten quizzes, complete one final exam, and a three to six-page project report (“Lean six sigma green belt certification”). Over the years, the training material for the program has become a bit outdated in terms of real-world applicability and engagement for participants. This paper will discuss the methods used to improve the Green Belt Lean Six Sigma curriculum to make it more engaging to participants while also making the content more accessible to industry today. The lessons I have learned through this improvement process and their application to my future will also be mentioned.

This paper analyzes the impact of the December 2022 winter storm on Southwest Airlines (SWA). The storm caused delays and cancellations for all airlines, but SWA was the only major airline that was unable to recover fully. The disruption was unique due to the higher volume of people traveling during the holiday season and the lack of good alternative transportation for stranded passengers. The paper explains SWA's point-to-point (PTP) model, which allows them to offer competitive ticket prices, and organizational factors that have helped them hold a significant market share. The paper also discusses previous failures of SWA's IT and aircraft maintenance management systems and the outdated crewing system, which were not addressed until after the storm. The paper uses AnyLogic agent based modeling to investigate why SWA was so affected and why it took them so long to recover.