Matching Items (13)

Filtering by

Clear all filters

132520-Thumbnail Image.png

Sustainability in Supply Management: An Analysis of Intelligent Supply Chain Designs in Promoting the Triple Bottom Line

Description

Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather

Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather something they must do to stay competitive and successful in the long run. Through the examination of scholarly supply chain literature, case studies, and industry reports with an emphasis on digital technology, supply chain, and sustainability, a conceptual model was created to begin the research in the area of cost savings through the use of digital technologies to enable companies to be more sustainable. This paper works to define the terms sustainability, sustainable supply chain management, and intelligent supply chain designs. It focuses on the positive social and environmental impact of the implementation of leading-edge digital technologies in supply management processes by creating transparency, efficiency, and reliability throughout the supply chain. Through an applied analysis of Mattel, Rana Plaza, Nike, and Coca-Cola and a cost-benefit analysis, it is concluded that companies that implement blockchain technology into their supply management process designs may create more sustainable supply chains while increasing savings and increasing profits. Blockchain may provide the reliability and transparency needed to better manage the supply management process which will evoke better business decisions. Intelligent supply chain designs improve the environmental and social sustainability of a company while maintaining a competitive edge.

Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper

Contributors

Created

Date Created
2019-05

133441-Thumbnail Image.png

The Cognitive Audit: The Effects of Cognitive Computing on Financial Audit Roles of Tomorrow

Description

Cognitive technology has been at the forefront of the minds of many technology, government, and business leaders, because of its potential to completely revolutionize their fields. Furthermore, individuals in financial statement auditor roles are especially focused on the impact of

Cognitive technology has been at the forefront of the minds of many technology, government, and business leaders, because of its potential to completely revolutionize their fields. Furthermore, individuals in financial statement auditor roles are especially focused on the impact of cognitive technology because of its potential to eliminate many of the tedious, repetitive tasks involved in their profession. Adopting new technologies that can autonomously collect more data from a broader range of sources, turn the data into business intelligence, and even make decisions based on that data begs the question of whether human roles in accounting will be completely replaced. A partial answer: If the ramifications of past technological advances are any indicator, cognitive technology will replace some human audit operations and grow some new and higher order roles for humans. It will shift the focus of accounting professionals to more complex judgment and analysis.
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.

Contributors

Agent

Created

Date Created
2018-05

134386-Thumbnail Image.png

Amazon Prime Air Delivery: Business Proposal Reconstruction, Review, and Recommendations

Description

Amazon Prime Air is the innovative new service that promises automated drone delivery in thirty minutes or less. The platform has not yet been brought to market, but there is a plethora compelling data available that suggests it will be

Amazon Prime Air is the innovative new service that promises automated drone delivery in thirty minutes or less. The platform has not yet been brought to market, but there is a plethora compelling data available that suggests it will be a unique and highly disruptive business segment for Amazon. The aim of this thesis is to analyze the framework laid out by Amazon.com, Inc. for their anticipated Prime Air drone delivery platform, and offer our recommendations for what steps the e-commerce giant should take moving forward. Following a brief recap of the company's founding and a breakdown of its various business segments, we will begin our analysis by examining past strategic decisions that Amazon has made which have directly contributed to their current market position. It is our goal to construct a narrative of what events lead the company to begin developing a fleet of automated delivery vehicles. Following this history lesson, we will review and criticize the existing elements of Amazon's Prime Air platform, and explore any possible alternatives that they could have taken to optimize the development of this exciting new technology. Criticisms will touch upon elements such as cost efficiencies, brand management, and utilization of infrastructure to name but a few. These criticisms will be based upon data sourced from Amazon's available material as well as comments from market analysts and journalists. The culminating element of our analysis will be to offer our professional recommendations as to what we believe the next logical steps that Amazon should take for their Prime Air platform. These recommendations will be informed by our criticisms and our understanding of Amazon as a corporation. This chapter will be largely concerned with guiding Amazon towards a fully optimized drone delivery platform. Our recommendations will be based upon our extensive experience concerning cost and logistical efficiencies, as well as our knowledge of Amazon as a corporation. We will offer succinct suggestions for Amazon's immediate needs as well as long-term solutions to lingering obstacles that they may face.

Contributors

Agent

Created

Date Created
2017-05

136286-Thumbnail Image.png

Beyond the "Two Chinas": The Roles of Emerging Markets Within the Context of Global Supply Chains

Description

This piece aims to discuss the roles of emerging geographies within the context of global supply chains, approaching the conversation with a "systems" view, emphasizing three key facets essential to a holistic and interdisciplinary environmental analysis: -The Implications of Governmental

This piece aims to discuss the roles of emerging geographies within the context of global supply chains, approaching the conversation with a "systems" view, emphasizing three key facets essential to a holistic and interdisciplinary environmental analysis: -The Implications of Governmental & Economic Activities -Supply Chain Enablement Activities, Risk Mitigation in Emerging Nations -Implications Regarding Sustainability, Corporate Social Responsibility In the appreciation of the interdisciplinary implications that stem from participation in global supply networks, supply chain professionals can position their firms for continued success in the proactive construction of robust and resilient supply chains. Across industries, how will supply networks in emerging geographies continue to evolve? Appreciating the inherent nuances related to the political and economic climate of a region, the extent to which enablement activities must occur, and sustainability/CSR tie-ins will be key to acquire this understanding. This deliverable aims to leverage the work of philosophers, researchers and business personnel as these questions are explored. The author will also introduce a novel method of teaching (IMRS) in the undergraduate business classroom that challenges the students to integrate their prior experiences both in the classroom and in the business world as they learn to craft locally relevant solutions to solve complex global problems.

Contributors

Agent

Created

Date Created
2015-05

Implications of Internet of Things Technologies in Supply Chain Management

Description

The Internet of Things (IoT) refers to the system of 'smart' inter-connected networked devices that contain sensors to communicate information to the Internet. Due to the complex and intricate nature of IoT technologies, in addition to the many applications of

The Internet of Things (IoT) refers to the system of 'smart' inter-connected networked devices that contain sensors to communicate information to the Internet. Due to the complex and intricate nature of IoT technologies, in addition to the many applications of IoT, the IoT has the potential to revolutionize how we interact and work every day. The information gathered through IoT is aggregated and can be used to improve business decision making, as well as contribute to a greater society. IoT spans various market sectors including retail, energy, and transportation. IoT can also be used to improve efficiencies within the supply chain. By increasing the transparency of items in-transit, in addition to providing greater visibility about inventory usage and consumer consumption habits, there are many implications of IoT that can be utilized to transform logistical processes. While some literature exists that discusses the impact of the IoT on the supply chain, the findings are limited in size and scope and tend to focus on particular implementations of IoT technologies. Further research is necessary to evaluate the impact of IoT to advance supply chain best practices and to understand the potential implications of the IoT in improving supply chain planning and distribution. This thesis aims to address this gap in the literature. By focusing on supply chain management, the thesis will look at the context in which the IoT operates, the market and implications of IoT devices, current logistics processes, the capabilities of IoT, as well as the potential problems and weaknesses with the implementation of the IoT.

Contributors

Agent

Created

Date Created
2016-05

135249-Thumbnail Image.png

Supplier Management Analysis for Intel Corporation

Description

New Venture Group, a student-run consulting organization at ASU, collaborated with representatives from Intel Corporation to determine current best supplier management practices in the area of capital equipment procurement. The New Venture Group team accomplished this goal by completing the

New Venture Group, a student-run consulting organization at ASU, collaborated with representatives from Intel Corporation to determine current best supplier management practices in the area of capital equipment procurement. The New Venture Group team accomplished this goal by completing the following deliverables: (1) Research and consolidate best practices for managing capital equipment suppliers. (2) Interview suppliers of capital equipment in the semiconductor industry to understand their motivators. (3) Examine top supply chain companies that utilize capital equipment manufacturers within their procurement systems. (4) Gather data and knowledge in conjunction with Intel Corporation's current practices to improve the effectiveness of the company's supplier management techniques regarding capital equipment manufacturers. The thesis report outlines the key insights and recommendations that our team extracted from the research that we performed. Our team analyzed peer-reviewed journal articles, conducted interviews with suppliers of capital equipment to semiconductor manufacturers, and surveyed buyers at top companies to reach important key insights. We then used these insights to develop the following strategies to improve Intel's capital equipment supplier management structure: All Suppliers 1. Allow high-performance suppliers to select one reward from an established portfolio of incentives. 2. Increase measurement frequency for specific metrics. 3. Use collaborative two-way measurement with a corresponding balanced scorecard. Key Suppliers of Critical Products 4. Conduct gap analysis through supplier self-assessments. 5. Implement collaborative target pricing. 6. Delegate an Ombudsman. 7. Create a value map to determine the strengths and incentivize collaboration. 8. Create comparison charts comparing supplier technological competencies versus Intel's product developments. 9. Establish a systematized product development process and strategic sourcing strategy that supports the continuation of Moore's Law.

Contributors

Agent

Created

Date Created
2016-05

A Better Way to Forecast: Using Statistical Process Control and an Intuitive User Interface to Redefine Intel's Forecasting Cadence

Description

During the summer of 2016 I had an internship in the Fab Materials Planning group (FMP) at Intel Corporation. FMP generates long-range (6-24 months) forecasts for chemical and gas materials used in the chip fabrication process. These forecasts are sent

During the summer of 2016 I had an internship in the Fab Materials Planning group (FMP) at Intel Corporation. FMP generates long-range (6-24 months) forecasts for chemical and gas materials used in the chip fabrication process. These forecasts are sent to Commodity Mangers (CMs) in a separate department where they communicate the forecast and any constraints to Intel suppliers. The intern manager of the group, Scott Keithley, created a prototype of a model to redefine how FMP determines which materials require a forecast update (forecasting cadence). However, the model prototype was complex to use, not intuitive, and did not receive positive feedback from the rest of the team or external stakeholders. This thesis will detail the steps I took in identifying the main problem the model was intended to address, how I approached the problem, and some of the major iterations I took to modify the model. It will also go over the final model dashboard and the results of the model use and integration. An improvement analysis and the intended and unintended consequences of the model will also be included. The results of this model demonstrate that statistical process control, a traditionally operational analysis, can be used to generate a forecasting cadence. It will also verify that an intuitive user interface is vital to the end user adoption and integration of an analytics based model into an established process flow. This model will generate an estimated time savings of 900 hours per year as well as giving FMP the ability to be more proactive in its forecasting approach.

Contributors

Agent

Created

Date Created
2016-12

Effective Education in Business

Description

The main compelling question to this thesis was to determine if there is a relationship between the amount of sensitivity received in ones college experience to how easily one transitions to a full time role upon graduation. Furthermore to determine

The main compelling question to this thesis was to determine if there is a relationship between the amount of sensitivity received in ones college experience to how easily one transitions to a full time role upon graduation. Furthermore to determine if there is measurable difference, what can educators do to close the gap to better serve students. The conduction of this thesis was done through a survey via Google Forms targeting three groups. The three groups were Alpha Kappa Psi at Arizona State University, Delta Sigma Pi at Penn State University and the Supply Chain Development Program at Dell in Austin, Texas. These groups allowed for a wide range of demographics in participants from all over the US and with many different business majors. There were two main sections in the survey, personal experiences with professors and personal experiences with peers. Both asked multiple different hard data questions (multiple choice, numerical rating, drop down) and short answer questions (open ended.) The goal was to gauge participant's experiences with their professors and their peers in terms of sensitivity and see if it helped or hindered their experience transitioning to a full time role. The results for the hard data indicated that there was a significant correlation between better professors being more sensitive and worse professors exercising very little sensitivity. The open ended responses indicated that students preferred professors that gave less sensitive and academic approach and more real life experiences to help them transition to their job. There were many issues to if the open-ended responses specifically addressed sensitivity versus other topics. Three other topics that were clearly alternately identified were class behavior, job relevancy, and professor influence/resistance. Overall from the research completed in this study it can be concluded that sensitivity does not significantly affect the performance in the transition from college to working in a profession environment.

Contributors

Agent

Created

Date Created
2016-12

137751-Thumbnail Image.png

Ranking Factories When There Are Multiple Dimensions of Performance

Description

The authors (hereinafter, "the team") engaged in a consulting project with Honeywell Process Solutions, on behalf of the New Venture Group (nVg) The New Venture Group is a student-run management consulting firm within the W.P. Carey School of Business. Its

The authors (hereinafter, "the team") engaged in a consulting project with Honeywell Process Solutions, on behalf of the New Venture Group (nVg) The New Venture Group is a student-run management consulting firm within the W.P. Carey School of Business. Its purpose is to provide an experience that allows members to learn about management consulting by interacting with real clients doing value -adding work. Through this particular client engagement, the team was asked to research and develop a structured process that would allow Honeywell Process Solutions to usefully compare 22 factories to each other on a broad range of performance issues.

Contributors

Agent

Created

Date Created
2013-05

131778-Thumbnail Image.png

Inventory Management and Demand Forecasting

Description

The purpose of this thesis is to evaluate Company F’s inventory management practices and make recommendations on how to improve ordering and reduce inventory carrying costs. With today’s software programs we are able to run analyses’ almost instantly that show

The purpose of this thesis is to evaluate Company F’s inventory management practices and make recommendations on how to improve ordering and reduce inventory carrying costs. With today’s software programs we are able to run analyses’ almost instantly that show us the relationship between demand and inventory. Ideally, every company wants to have enough inventory to meet customer demand, but not so much that carrying costs skyrocket. Not only does it cost more to store inventory, but it also ties up capital which is difficult to liquidate. Finding a happy medium between customer service level and carrying costs will keep company F’s franchisees satisfied and the company profitable. Using different forecast analyses’, I will be evaluating Company F’s fastest selling category of 5 products with the goal of finding the most accurate forecast model. I will also determine reorder points and reorder quantities for the rest of Company F’s SKU’s based on average usage, lead time, and safety stock. The result of my findings will provide cost savings for the company which affects the bottom line.

My recommendations to the company will be based on the findings of the analyses’ used. There may be multiple conclusions in the recommendations for demand forecasting based on each individual forecast used. However, I will give my insight on which forecast I think is more accurate and why this one would be the best to implement in terms of accuracy. Going forward, the company will be capable of implement these models and fine tune them as necessary to help streamline their inventory needs.

Contributors

Agent

Created

Date Created
2020-05