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- All Subjects: Finance
- Creators: Simonson, Mark
Description
This thesis discusses the case for Company X to improve its vast supply chain by implementing an artificial intelligence solution in the management of its spare parts inventory for manufacturing-related machinery. Currently, the company utilizes an inventory management system, based on previously set minimum and maximum thresholds, that doesn’t use predictive analytics to stock required spares inventory. This results in unnecessary costs and redundancies within the supply chain resulting in the stockout of spare parts required to repair machinery. Our research aimed to quantify the cost of these stockouts, and ultimately propose a solution to mitigate them. Through discussion with Company X, our findings led us to recommend the use of Artificial Intelligence (A.I.) within the inventory management system to better predict when stockouts would occur. As a result of data availability, our analysis began on a smaller scale, considering only a single manufacturing site at Company X. Later, our findings were extrapolated across all manufacturing sites. The analysis includes the cost of stockouts, the capital that would be saved with A.I. implementation, costs to implement this new A.I. software, and the final net present value (NPV) that Company X could expect in 10 years and 25 years. The NPV calculations explored two scenarios, an external partnership and the purchase of a small private company, that lead to our final recommendations regarding the implementation of an A.I. software solution in Company X’s spares inventory management system. Following the analysis, a qualitative discussion of the potential risks and market opportunities associated with the explored implementation scenarios further guided the determination of our final recommendations.
ContributorsHolohan, Joseph Michael Houston (Co-author) / Shahriari, Rosie (Co-author) / Aun, Jose (Co-author) / Heineke, Christopher (Co-author) / Gurrola, Macario (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on consumer confidence towards financial markets and global economies. Specifically, one of the most important goals of the Federal Reserve is to mitigate the risk of the United States to enter a recession, while maintaining a balanced approach when making those policy decisions. In this thesis, we focus on the monetary policy of the Federal Reserve, particularly, their role in controlling interest rates to prevent recessionary sentiment in the current state of the economy. Since 2008, markets have been stronger and previous policies like Dodd-Frank have ensured that market collapses during the Great Recession do not repeat itself. Yet, fluctuations in the yield curve, polarizing investment views, and unsettled consumer confidence has pointed to another recession in the near future. In this case, we will look at the way the Fed has implemented short term policies to lower this risk in order to fight volatile markets, however, fluctuating interest rates has its consequences. The goal of this thesis is to analyze the various ways the Fed has managed interest rates in the past and present, and further, to offer a framework to serve as the most effective policy to combat volatility and recessionary sentiment in the U.S. economy.
ContributorsPatel, Dylan (Author) / Sacks, Jana (Thesis director) / Simonson, Mark (Committee member) / Economics Program in CLAS (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
There is a growing demand for discrete graphics processing units (dGPU) in the internet of things. Our subject company, Company X, has decided to develop a dGPU to be used in client computing (desktops, laptops, etc). This project will address whether or not company X should invest time and money into adopting their existing client focused dGPU for applications in IoT such as digital signage, gaming, or medical imaging. If this investment is to be made, we will also make specific recommendations about how Company X should enter the IoT space. The project will be completed in 3 stages. The first stage will consist of an analysis of the competitive landscape and research on dGPUs and how they differ from integrated GPUs. Stage two will focus primarily on the IoT space and how the competitors are using dGPUs in the IoT along with an analysis of three potential use cases for Company X’s dGPU. Finally, we will build a comprehensive financial model based on our research of one specific IoT segment where Company X could potentially enter. Based on these stages, we will then offer a conclusion and recommendation on whether Company X should invest in this project.
ContributorsNickel, Jack Peter (Co-author) / Bergauer, Kevin (Co-author) / Morey, Jake (Co-author) / Nickel, Jack (Co-author) / Sethia, Priyanka (Co-author) / Smith, Jesse (Co-author) / Simonson, Mark (Thesis director) / Kreutner, Caleb (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This honors thesis for Barrett, the Honors College at Arizona State University provides an analysis of a leveraged buyout (LBO) of Foot Locker. This thesis serves to demonstrate how a fictional private equity firm would acquire a company through an LBO. The project provides insight onto what private equity firms do, the background of Foot Locker, and an industry analysis on the sector that Foot Locker operates in. The thesis looks to provide a deeper understanding of the fair value of Foot Locker using a discounted cash flow (DCF) analysis, comparable company analysis, and precedent transaction analysis. Included is a pitchbook, the DCF model, and LBO model.
ContributorsTilly, Alexandre (Author) / Simonson, Mark (Thesis director) / Licon, Wendell (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor)
Created2022-05
Description
This thesis examines real experiences of how small businesses responded to the COVID-19 pandemic in order to generate recommendations for said businesses post pandemic from a finance and supply chain perspective. A literature review finds that several trends that emerged over the pandemic, such as supply and demand changes, workforce difficulties, financing struggles, and the effectiveness of the Payment Protection Program. Next, we conducted a survey of local small businesses based on the findings in the literature review. The survey aimed to examine managers’ struggles, strategies, and responses to the pandemic. The survey responses were examined and then analyzed to find how they compare to the statistics from the literature review. The findings from the results and other sources served as the basis for which small business recommendations are made on how to prepare for future unprecedented economic crises and better situate themselves to respond.
ContributorsThomas, Ryan (Author) / Onyszchuk, Ethan (Co-author) / Printezis, Antonios (Thesis director) / Simonson, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor)
Created2022-05
Description
Our Thesis discusses the solution to Disney's grab at market share in the streaming industry. Although Disney has been quick to grow to its current size, they still have much more of the market left to capture. We will take a deep dive into how we can launch a new addition to Disney+ by acquiring IMAX, and model out the benefits of the new subscription. By the end of the transaction, Disney will be able to retain more of its customers over a 10 year period than if they were to operate normally .
ContributorsRahman, Ayad (Author) / Rodenbostel, Benjamin (Co-author) / Simonson, Mark (Thesis director) / Merchel, Mat (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor)
Created2022-05
Description
This thesis examines real experiences of how small businesses responded to the COVID-19 pandemic in order to generate recommendations for said businesses post pandemic from a finance and supply chain perspective. A literature review finds that several trends that emerged over the pandemic, such as supply and demand changes, workforce difficulties, financing struggles, and the effectiveness of the Payment Protection Program. Next, we conducted a survey of local small businesses based on the findings in the literature review. The survey aimed to examine managers’ struggles, strategies, and responses to the pandemic. The survey responses were examined and then analyzed to find how they compare to the statistics from the literature review. The findings from the results and other sources served as the basis for which small business recommendations are made on how to prepare for future unprecedented economic crises and better situate themselves to respond.
ContributorsOnyszchuk, Ethan (Author) / Thomas, Ryan (Co-author) / Simonson, Mark (Thesis director) / Printezis, Antonios (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor)
Created2022-05
Description
This project examines entry-level processors for Company X. Analyzing their current position and creating recommendations for their future positioning in regard to entry-level processors. Utilizing financial models, our group worked to determine the most effective way to optimize NPV and gross margin for this segment. With extensive step models and sensitivity analysis, we analyzed potential paths that Company X could take. Continuing to be mindful of the limitations that certain projected paths would entail. Through our analysis, we were able to form a comprehensive suggestion that had a positive 8-year NPV and an improved gross margin percentage.
ContributorsJones, Ciara (Author) / Kuo, Ian (Co-author) / Mathias, Chase (Co-author) / Huseinovic, Ayla (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05