Matching Items (10)
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- All Subjects: Supply Chain Management
- All Subjects: Statistics
- Creators: Department of Economics
- Resource Type: Text
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
P.F. Chang's China Bistro is a privately-held purveyor of Asian fare in the United States and internationally, known largely for its vibrant atmosphere and lettuce wraps. With hundreds of locations and dozens of menu items, procurement, logistics, and coordination of ingredient delivery to P.F. Chang's restaurants is no small task. Despite their difficulty, supply chain operations from suppliers to customers' plates must run efficiently if P.F. Chang's is to maintain customer loyalty, a trusted brand, and profitability. As such, supply chain initiatives that allow for faster, better, or lower-cost operation are valuable investments for P.F. Chang's. In this project, two initiatives focused on increasing visibility along the value chain (with the hope of creating immediate value and easier implementation for future strategies). The first initiative involved stakeholder interviews and academic research to determine evaluation methods for P.F. Chang's suppliers in the form of a scorecard. The second project required extensive data collection from suppliers to isolate and remove excess cost in the inbound logistics of P.F. Chang's inventory. Both initiatives led to incremental improvement at P.F. Changs and the latter provided substantial cost savings. Further investigation and work is likely to yield continued benefits for the company. The increased use of data in all supply chains to guide decision-making will be easier for P.F. Chang's as it manages ongoing visibility efforts. Although process explanation and general outcomes will be reported here, the proprietary nature of P.F. Chang's data precludes full disclosure of the project results in public documentation.
ContributorsBarger, Michael Richard (Author) / Taylor, Todd (Thesis director) / Miller, Steve (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
DescriptionA comprehensive look at the roles and responsibilities of producers in contemporary Hollywood. The experience I have as an Associate Producer on a current project is also chronicled while the ups and downs of film production are explored.
ContributorsGalen, Adam (Author) / Sandler, Kevin (Thesis director) / Green, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Department of English (Contributor)
Created2014-05
DescriptionA look at current 3D printing capabilities, and exploring the potential for additive manufacturing to transform the economy in the future.
ContributorsBennewitz, Chase (Co-author) / Paul, John (Co-author) / Parker, Kerry (Co-author) / Maltz, Arnold (Thesis director) / McDowell, John (Committee member) / Fujinami, Chris (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor)
Created2013-05
Description
This thesis focuses on the supply chain of the wine industry from a smaller scale operational perspective. A standard process from converting grapes to wine has been identified and confirmed. The sequential order of harvest, destemmer/crusher, fermentation, press, barrels, bottling, and distribution constitute the main tasks in the red wine conversion process. Variations in production between red and white wines are observed; but, the overall process is roughly the same with white wines switching the fermentation and press steps and eliminating the barrels task. In addition, it is established that supply chain considerations do effect overall quality such as taste, aroma, and smell. The ability to utilize a combination of diverse techniques, such as wooden barrels or stainless steel tanks for aging, is what contributes to the differentiation of each wine and makes it unique. While the production methodology and use of specific materials/inputs will alter the quality of wine, it must be recognized that the majority of wine quality is influenced directly by the grape itself. The use of technology and machinery in the wine making process is investigated and determined to be pivotal to the creation of wine and the survival of any size winery. Technology has facilitated the wine making process and the current creation path could not occur without it. Wine operations will adapt and incorporate new procedures to take advantage of growth in technology as it occurs, especially in automation. The information used to assess the wine supply chain was obtained from an extensive literature review, interviews with industry professionals, and onsite tours of production facilities. Given all the results and data, it is evident that the production of wine can greatly benefit from the use of supply chain practices and concepts. The ability to reduce variation in the process and determine which aspects contribute most to wine quality are vital for small scale winery operations to remain competitive and become successful.
ContributorsClarke, Tanya N (Author) / Oke, Adegoke (Thesis director) / Gopalakrishnan, Mohan (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor)
Created2014-05
Description
Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics to their team's philosophy, resulting in playoff appearances and championship success. The competitive market of baseball, once dominated by the collusion of owners, now promotes innovative thought to analytically develop competitive advantages. The tiered economic payrolls of Major League Baseball (MLB) has created an environment in which large-market teams are capable of "buying" championships through the acquisition of the best available talent in free agency, and small-market teams are pushed to "build" championships through the drafting and systematic farming of high-school and college level players. The use of sabermetrics promotes both models of success \u2014 buying and building \u2014 by unbiasedly determining a player's productivity. The objective of this paper is to develop a regression-based predictive model that can be used by Majors League Baseball teams to forecast the MLB career average offensive performance of college baseball players from specific conferences. The development of this model required multiple tasks: I. Data was obtained from The Baseball Cube, a baseball records database providing both College and MLB data. II. Modifications to the data were applied to adjust for year-to-year formatting, a missing variable for seasons played, the presence of missing values, and to correct league identifiers. III. Evaluation of multiple offensive productivity models capable of handling the obtained dataset and regression forecasting technique. IV. SAS software was used to create the regression models and analyze the residuals for any irregularities or normality violations. The results of this paper find that there is a relationship between Division 1 collegiate baseball conferences and average career offensive productivity in Major Leagues Baseball, with the SEC having the most accurate reflection of performance.
ContributorsBadger, Mathew Bernard (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We decided to look at draft data from 2006-2010 for the first ten rounds of players selected. Because there is only a monetary cap on players drafted in the first ten rounds we restricted our data to these players. Once we set up the parameters we compiled a spreadsheet of these players with both their signing bonuses and their wins above replacement (WAR). This allowed us to see how much a team was spending per win at the major league level. After the data was compiled we made pivot tables and graphs to visually represent our data and better understand the numbers. We found that the worst position that MLB teams could draft would be high school second baseman. They returned the lowest WAR of any player that we looked at. In general though high school players were more costly to sign and had lower WARs than their college counterparts making them, on average, a worse pick value wise. The best position you could pick was college shortstops. They had the trifecta of the best signability of all players, along with one of the highest WARs and lowest signing bonuses. These were three of the main factors that you want with your draft pick and they ranked near the top in all three categories. This research can help give guidelines to Major League teams as they go to select players in the draft. While there are always going to be exceptions to trends, by following the enclosed research teams can minimize risk in the draft.
ContributorsValentine, Robert (Co-author) / Johnson, Ben (Co-author) / Eaton, John (Thesis director) / Goegan, Brian (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this research was to identify various problems within value analysis teams as well as provide solutions that will help to better align the agents involved in the value analysis process. As healthcare costs continue to rise, and hospital reimbursements fall, value analysis teams will play an even more pivotal role in the success of healthcare organizations. Also, the industry trend toward value-based care is highlighting the importance of these teams. However, interdisciplinary value analysis teams bring to light the underlying agency issue that exists between physicians and hospital administrators, and the general misalignment of values between the participants. In order for these teams to function properly, it is inherent that all of the professionals involved align their incentives. For this study, I studied relevant literature pertaining to value analysis, attended relevant speakers, and then performed interviews with several different professionals involved in healthcare value analysis. I organized and coded this data using the Grounded Theory approach, and was able to identify the underlying issues within these teams. I then created a typology of value analysis teams, based on my respondents, where I segment them into four tiers based on their utilization of data, and their level of physician involvement. Finally, I identified three distinct strategies for developing value analysis teams to implement in order to increase their efficiency and overall success.
ContributorsLindgren, Thomas John (Author) / Schneller, Eugene (Thesis director) / Choi, Thomas (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
In this paper, I discuss my findings from The Toyota Way, 2 Second Lean, and Lean Thinking, I present an analysis of my implementation of lean processes for Page Petal, and I recommend a set of lean<br/>philosophies that I found to be successful for e-commerce product-based small businesses. I also focus on how the economy plays an important role in the demand for goods, a major factor in<br/>which lean processes will ultimately be successful. The goal of this paper is to demonstrate the value of mindful risk-taking in entrepreneurship and to reveal what was effective with Page Petal in hopes of giving other small businesses insight into how to be successful.
ContributorsWeidemann, Courtney Michelle (Author) / Van Orden, Joseph (Thesis director) / Reffett, Kevin (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Jake Hernandez grew up in Houston, Texas where his frequent visits to the Museum of Fine Arts introduced him to the works of Mark Rothko and Piet Mondrian. Inspired by these artist’s use of color, Hernandez has leveraged his own understanding of color theory and mathematics to explore the complexity of this element for his honors thesis. In Colored Squares I and II, Hernandez created a process of random color generation from a set of blue, red, and yellow pigments to explore color in the absence of human bias. Since artists' personal biases and inclinations towards color affect our exploration of this element, Hernandez wanted to eliminate these obstructions to investigate color to a much greater extent. In Colored Landscapes I, II, and III, Hernandez used the primaries again in a more expressive style. Drawing inspiration from his travels across Europe and North America, Hernandez created new landscapes all his own. These studies offer a substantiated argument for the limits of art itself, showing artists have only explored a very small fraction of art's possibilities and that more exploration can be done in color and the other elements of art.
ContributorsHernandez, Jake (Author) / Pomilio, Mark (Thesis director) / Button, Melissa (Committee member) / Barrett, The Honors College (Contributor) / School of Art (Contributor) / Department of Economics (Contributor)
Created2023-12