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- All Subjects: Supply Chain
- All Subjects: Consulting
- Creators: Department of Supply Chain Management
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Description
The client detailed in this report is a premier continuing healthcare education organization providing a variety of homeopathic therapy classes for its students. The purpose of this paper is to showcase a business plan that will help dictate the basic structure of the client's business once they are independent of their current managing company. Extensive analysis, primarily based upon online market research and personal correspondence with the client, was conducted for this report. Detailed within this paper are several areas where the client can significantly lower costs and increase future revenues by modifying practices employed by the managing company. From the analysis provided, the client has the opportunity to create and grow a well-organized, profitable business with a sustainable future.
ContributorsMionis, Erika (Co-author) / Lee, Betty (Co-author) / Coult, Natasha (Co-author) / Brooks, Dan (Thesis director) / Chikly, Bruno (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
Description
Derived from the idea that the utilization of sustainable practices could improve small business practice, this honors thesis offers a full business assessment and recommendations for improvements of a local, family-owned coffee shop, Gold Bar. A thorough analysis of the shop's current business practices and research on unnecessary expenses and waste guides this assessment.
ContributorsSorden, Clarissa (Co-author) / Boden, Alexandra (Co-author) / Darnall, Nicole (Thesis director) / Dooley, Kevin (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
Description
Humanitarian aid organizations, while providing aid services, require inputs and utilize business processes like other for-profit firms. Many charity organizations depend on donations for revenue. The level of public trust in charities can affect donations. To support the American public and protect individuals from dishonest charity agencies, charity watchdog organizations publish ratings of charities to assist the public in donation decisions. The ratings focus on a variety of topics orienting how much of donation funds go directly to the cause not administrative or soliciting costs. In the American Red Cross, a new process was engineered to make procuring consulting services more efficient and cost effective. This project was focused on investigating areas of improvement for the new process. Deliverables included process suggestions for business unit managers, process suggestions for sourcing managers, and detailed process flowcharts highlighting potential modifications in the new process. Overall, it is critical to keep consulting costs low to ensure that watchdog organizational ratings stay positive and public trust in the American Red Cross remains high.
ContributorsDonahue, Nancy Elizabeth (Author) / Brooks, Daniel (Thesis director) / Mokwa, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor)
Created2015-05
Description
My thesis combines two different perspectives. The first is supply chain management, and the second is volunteering. The inspiration for this topic came from Joy Field's seminar titled "Job Design and Work Allocation for Volunteers in Nonprofit Organizations." My thesis differs from her seminar because I decided to expand her topic to include all types of organizations, not just non-profits. The idea of relating supply chain and volunteering is appealing because I believe getting the most out of each volunteer's experience and those on the receiving end is very important. Additionally, her seminar appealed to me because I have volunteered before and it relates to my major of supply chain management. Volunteer management relates to supply chain management from an operations perspective. A common objective within supply chain operations is maximizing productivity, resources, and value. Mismanaging people can lead to an increased amount of waste in the form of money, time, and resources. That is why it is important to get the most out of the entire experience in order for both the volunteers and the organization to achieve the most benefit. The purpose of this paper is to describe best practices in volunteer management for organizations to consider. I will explore three phases of the volunteer management process: before, during, and after. Additionally, I will provide a personal volunteer experience and assess its effectiveness. My source material consisted of various research articles and journals, and the end result will be an outline of recommendations for organizations to utilize when using volunteers.
ContributorsCohen, Joshua (Author) / Printezis, Antonios (Thesis director) / Sandell, Paul (Committee member) / Department of Supply Chain Management (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
The following Student Sustainability Consultant's Portfolio was created with the intention of being duplicated and utilized by Arizona State University (ASU) students to build their own Portfolio and to help prepare them for success after graduation. Student Consultants in GreenLight Solutions (GLS) are in a unique position to prepare themselves to create value for organizations while in school, and then continue to after graduation. When I enrolled in the School of Sustainability as an undergraduate transfer student I heard some constructive criticism from graduates of the school. Those students shared that while they had attained a great theoretical understanding of the science of sustainability, they lacked the ability to apply their knowledge in a practical way. They were struggling with finding work in their field because they could not communicate to employers how their knowledge was useful. They did not know how to apply their sustainability knowledge to create value for an organization. I did not want to have that same problem when I graduated. Enter GreenLight Solutions.
ContributorsKeleher, Kevin Robert (Author) / Schoon, Michael (Thesis director) / Basile, George (Committee member) / Buch, Rajesh (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / Department of Supply Chain Management (Contributor)
Created2013-12
Description
The purpose of this project is to provide our client with a tool to mitigate Company X's franchise-wide inventory control problem. The problem stems from the franchises' initial strategy to buy all inventory as customers brought them in without a quantitative way for buyers to evaluate the store's inventory needs. The Excel solution created by our team serves to provide that evaluation for buyers using deseasonalized linear regression to forecast inventory needs for clothing of different sizes and seasons by month. When looking at the provided sales data from 2014-2016, there was a clear seasonal trend, so the appropriate forecasting model was determined by testing 3 models: Triple Exponential Smoothing model, Deseasonalized Simple Linear Regression, and Multiple Linear Regression.The model calculates monthly optimal inventory levels (current period plus future 2 periods of inventory). All of the models were evaluated using the lowest mean absolute error (meaning best fit with the data), and the model with best fit was Deseasonalized Simple Linear Regression, which was then used to build the Excel tool. Buyers can use the Excel tool built with this forecasting model to evaluate whether or not to buy a given item of any size or season. To do this, the model uses the previous year's sales data to forecast optimal inventory level and compares it to the stores' current inventory level. If the current level is less than the optimal level, the cell housing current value will turn green (buy). If the currently level is greater than or equal to optimal level or less than optimal inventory level*1.05, current value will turn yellow (buy only if good quality). If the current level is greater than optimal level*1.05 current level will be red (don't buy). We recommend both stores implement a way of keeping track of how many clothing items held in each bin to keep more accurate inventory count. In addition, the model's utility will be of limited use until both stores' inventories are at a level where they can afford to buy. Therefore, it is in the client's best interest to liquidate stale inventor into store credit or cash In the future, the team would also like to develop a pricing model to better meet the needs of the client's two locations.
ContributorsUribes-Yanez, Diego (Co-author) / Liu, Jessica (Co-author) / Taylor, Todd (Thesis director) / Gentile, Erica (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
For the Supply Chain Management Alternative Thesis, I was required to attend 4 research seminars. After attending all four seminars, I wrote a summary for each one and then did my own research on a subject from one of the seminars. I selected the lecture from Mahyar Eftekhar to do more research on due to my passion of humanitarian work. The lecture delivered by Mahyar Eftekhar on September 27th, 2018 there was a question being asked, “How to improve service delivery, considering the peculiar characteristics of humanitarian supply chains?”. This question can either cost a company a lot of money or save it a lot of money. The problem is how do you reduce risk for a supply chain in humanitarian work? The objective of my research is to find different solutions on risk mitigation for humanitarian organizations and how to bring down costs for the supply chains that these organizations have. Risk mitigation can be difficult for events that happen randomly, but there are ways to help reduce risk. Reducing risk is key to humanitarian supply chains because it can save money for companies that have financial restrictions. Humanitarian supply chains are much different from typical supply chains, due to what is at stake. These supply chains cannot fail, because if they do lives will be put in danger. Disasters can happen at any moment and can range from all different types. Being prepared for the worst case scenario is important in humanitarian efforts in order to bring down costs and save lives.
ContributorsDominguez, Brady (Author) / Printezis, Antonios (Thesis director) / Oke, Adegoke (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Only an Executive Summary of the project is included.
The goal of this project is to develop a deeper understanding of how machine learning pertains to the business world and how business professionals can capitalize on its capabilities. It explores the end-to-end process of integrating a machine and the tradeoffs and obstacles to consider. This topic is extremely pertinent today as the advent of big data increases and the use of machine learning and artificial intelligence is expanding across industries and functional roles. The approach I took was to expand on a project I championed as a Microsoft intern where I facilitated the integration of a forecasting machine learning model firsthand into the business. I supplement my findings from the experience with research on machine learning as a disruptive technology. This paper will not delve into the technical aspects of coding a machine model, but rather provide a holistic overview of developing the model from a business perspective. My findings show that, while the advantages of machine learning are large and widespread, a lack of visibility and transparency into the algorithms behind machine learning, the necessity for large amounts of data, and the overall complexity of creating accurate models are all tradeoffs to consider when deciding whether or not machine learning is suitable for a certain objective. The results of this paper are important in order to increase the understanding of any business professional on the capabilities and obstacles of integrating machine learning into their business operations.
The goal of this project is to develop a deeper understanding of how machine learning pertains to the business world and how business professionals can capitalize on its capabilities. It explores the end-to-end process of integrating a machine and the tradeoffs and obstacles to consider. This topic is extremely pertinent today as the advent of big data increases and the use of machine learning and artificial intelligence is expanding across industries and functional roles. The approach I took was to expand on a project I championed as a Microsoft intern where I facilitated the integration of a forecasting machine learning model firsthand into the business. I supplement my findings from the experience with research on machine learning as a disruptive technology. This paper will not delve into the technical aspects of coding a machine model, but rather provide a holistic overview of developing the model from a business perspective. My findings show that, while the advantages of machine learning are large and widespread, a lack of visibility and transparency into the algorithms behind machine learning, the necessity for large amounts of data, and the overall complexity of creating accurate models are all tradeoffs to consider when deciding whether or not machine learning is suitable for a certain objective. The results of this paper are important in order to increase the understanding of any business professional on the capabilities and obstacles of integrating machine learning into their business operations.
ContributorsVerma, Ria (Author) / Goegan, Brian (Thesis director) / Moore, James (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The aim of this thesis is to improve the user experience within FedEx's eProcurement system, directly address feedback received from customer surveys, and to make recommendations for the Sourcing and Procurement Division within FedEx. In the first part, the overall client engagement is outlined with the specific timeline between New Venture Group and FedEx. The thesis encompasses three deliverables that were integral parts to the semester-long consulting engagement. The thesis then dives into methodology and each deliverable individually. After months of conference calls and best practice research, consulting efforts are summarized in the results. In a detailed discussion sections, the thesis forecasts opportunities for FedEx within sourcing and procurement. Here, the thesis draws on sources from various companies and research. Furthermore, overall recommendations are given to FedEx and acknowledgements are made. In conclusion, the thesis hopes to offer FedEx improvements to leverage improved functionality of eProcurement that will become available in the next upgrade of the Performance Management System.
ContributorsRuhlman, Payne (Co-author) / Pollack, Amanda (Co-author) / Peterson, Andrew (Co-author) / Taylor, Todd (Thesis director) / Choi, Thomas (Committee member) / Halvorson, Joel (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / School of International Letters and Cultures (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The key to success is hard work and determination. Achieving success is always under construction. This project began as a simple analysis of the firm's progress, as at the time it was in desperate need of new clients and a marketing strategy to strengthen its visibility on campus.Through this evaluation, our team found that the firm was in an abysmal state and the previously noted problems were not the only issues of concern. From our research we found that in order for the firm to grow and become a successful student run consulting firm, there are several interorganizational issues that need to be understood and addressed. The intention of New Venture Group and the Consulting Scholars academic program is to provide students the opportunity to garner practical learning experiences. These potential opportunities are not taken full advantage of because of the afflicting problems that exist. The purpose of this thesis is to understand what problems exist within the firm and the next steps that should be taken to resolve them.
ContributorsBaskin, Connor (Co-author) / Farr, Austin (Co-author) / Chou, Alexandra (Co-author) / Laub, Jeffrey (Thesis director) / Taylor, Todd (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05