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- Creators: Arizona State University
- Creators: Department of Economics
Description
This dissertation is an exploratory study that examined the differences in perceptions about supply chain management strategy, topics, tools, and techniques between procurement professionals in public and private sector organizations. This was accomplished through a survey of procurement professionals in a Fortune 500 company and a municipality in Arizona. The data were analyzed to understand how perceptions of supply chain management differed within this sample and whether the differences in perceptions were associated with formal education levels. Key findings indicate that for this or similar samples, public procurement respondents viewed their organizations' approach to supply chain management as a narrow function within purchasing while private sector respondents viewed their organization's approach to supply chain management as a strategic purchasing perspective that requires the coordination of cross functional areas. Second, public procurement respondents reported consistent and statistically significant lower levels of formal education than private sector respondents. Third, the supply chain management topics, tools, and techniques seem to be more important to private sector respondents than the public sector respondents. Finally, Respondents in both sectors recognize the importance of ethics and ethical behavior as an essential part of supply chain management.
ContributorsHeller, Jacob (Author) / Cayer, Joseph (Thesis advisor) / Lan, Gerald (Committee member) / Eden, Catherine (Committee member) / Arizona State University (Publisher)
Created2013
Description
Today's competitive markets force companies to constantly engage in the complex task of managing their demand. In make-to-order manufacturing or service systems, the demand of a product is shaped by price and lead times, where high price and lead time quotes ensure profitability for supplier, but discourage the customers from placing orders. Low price and lead times, on the other hand, generally result in high demand, but do not necessarily ensure profitability. The price and lead time quotation problem considers the trade-off between offering high and low prices and lead times. The recent practices in make-to- order manufacturing companies reveal the importance of dynamic quotation strategies, under which the prices and lead time quotes flexibly change depending on the status of the system. In this dissertation, the objective is to model a make-to-order manufacturing system and explore various aspects of dynamic quotation strategies such as the behavior of optimal price and lead time decisions, the impact of customer preferences on optimal decisions, the benefits of employing dynamic quotation in comparison to simpler quotation strategies, and the benefits of coordinating price and lead time decisions. I first consider a manufacturer that receives demand from spot purchasers (who are quoted dynamic price and lead times), as well as from contract customers who have agree- ments with the manufacturer with fixed price and lead time terms. I analyze how customer preferences affect the optimal price and lead time decisions, the benefits of dynamic quo- tation, and the optimal mix of spot purchaser and contract customers. These analyses necessitate the computation of expected tardiness of customer orders at the moment cus- tomer enters the system. Hence, in the second part of the dissertation, I develop method- ologies to compute the expected tardiness in multi-class priority queues. For the trivial single class case, a closed formulation is obtained. For the more complex multi-class case, numerical inverse Laplace transformation algorithms are developed. In the last part of the dissertation, I model a decentralized system with two components. Marketing department determines the price quotes with the objective of maximizing revenues, and manufacturing department determines the lead time quotes to minimize lateness costs. I discuss the ben- efits of coordinating price and lead time decisions, and develop an incentivization scheme to reduce the negative impacts of lack of coordination.
ContributorsHafizoglu, Ahmet Baykal (Author) / Gel, Esma S (Thesis advisor) / Villalobos, Jesus R (Committee member) / Mirchandani, Pitu (Committee member) / Keskinocak, Pinar (Committee member) / Runger, George C. (Committee member) / Arizona State University (Publisher)
Created2012
Description
Social shopping has emerged as a popular online retailing segment. Social shopping revolves around online communities that bring consumers together to shop for deals. Online retailers have been making significant investments to encourage consumers to join online communities linked to their websites in the hope that social interactions among consumers will increase consumption rates. However, the assumption that social interactions increase consumption rates in social shopping remains largely untested in empirical settings. Also, the mechanisms of such an effect remain unclear. Moreover, extant literature has overlooked the role played by elements of the marketing mix, including product characteristics and the commercial context, in defining the effect that social interaction mechanisms have on consumption rates in this focused context. Furthermore, common knowledge in the operations management discipline challenges the largely held assumption, in the social interactions literature, that increasing consumption rates will always be beneficial to online retailers. Higher consumption rates may lead to stockouts, leading to lower service levels. This dissertation develops and empirically tests a theoretical framework that addresses these managerially relevant issues. Specifically, the investigation centers on the effects of social interaction mechanisms on consumption rates in social shopping. In turn, it assesses the nature of the relationship between consumption rates and service levels, after controlling for inventory provision. Finally, it assesses the role played by elements of the marketing mix in defining the relationship between social interaction mechanisms and consumption rates in this focused context. The research methodology uses experiments as the primary source of data collection, and employs econometrics techniques to statistically assess the conceptual framework. The results from the empirical analysis provide interesting insights. First, they unveil influential consumers in social shopping according to relational and structural elements of the social network of consumers and time of purchase. Second, the influence of early buyers' purchases on consumption rates becomes weaker when the quality of the products being offered as part of a deal increases, but it becomes stronger when the price of those products increases. Finally, as deals' consumption rates increase, their service levels decrease at a faster pace.
ContributorsSodero, Annibal (Author) / Rabinovich, Elliot (Thesis advisor) / Sinha, Rajiv (Committee member) / Maltz, Arnold (Committee member) / Arizona State University (Publisher)
Created2012
Description
The phenomenon of global warming and climate change has increasingly attracted attention by researchers in the field of supply chain and operations management. Firms have developed efficient plans and intervention measures to reduce greenhouse gas (GHG) emissions. While a majority of research in supply chain management has adopted a firm-centric view to study environmental management, this dissertation focuses on the context of GHG emissions reduction by considering a firm’s vertical and horizontal relationships with other parties, and the associated spillover effects. A theoretical framework is first proposed to facilitate the field's understanding of the possible spillover effects in GHG emissions reduction via vertical and horizontal interactions. Two empirical studies are then presented to test the spillover effect in GHG emissions reduction, focusing on the vertical interactions - when firms interact with their supply chain members. Drawing data from Bloomberg Environmental Social and Governance, and Bloomberg SPLC, this study conducts econometric analyses using various models. The results suggest that first, a higher level of supply chain GHG emissions is associated with the adoption of emissions reduction programs by a firm, and that this supply chain leakage contributes to the firm’s financial performance. Second, a firm's supply base innovativeness can contribute to its internal GHG emissions reduction, and this effect is contingent on a firm's supply base structure. As such, this dissertation answers the recent call in the field of supply chain and operations management for more empirical research in socially and environmentally responsible value chains. Further, this study contributes to the literature by providing a better understanding of the externalities that value chain members can impose on one another when pursuing sustainability goals.
ContributorsSong, Sining (Author) / Kull, Thomas (Thesis advisor) / Carter, Craig (Committee member) / Dong, Yan (Committee member) / Arizona State University (Publisher)
Created2018
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 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
A desk provides an interesting forum between two people. The first party sits behind the desk while the second approaches with a question. The desk presents itself as a stage for the drama of that conversation to take place; as all furniture and property do, we naturally make assumptions about the owner based on the things they possess. Just as a Ferrari says one thing while a truck says something different, our furniture conveys a similar sensation. The desk is special because it acts as a stage - it can create a very subtle first impression of the person who owns it. The question then becomes, "what should I try to convey through the desk I sat behind?". If someone walked into my office and looked strictly at my desk, what impression would I want to give them about who I am as an individual? I conjunction with this question about the design of the desk itself comes to another question about the materials used. This thesis goes into the symbolic nature of wood in modern and ancient times across cultures, explores wood in modern construction today and explores the source of the wood used in this specific project through a supplier analysis of Porter Barn Wood. Porter Barn Wood is a local Phoenix company that specializes in reclaimed barn wood delivered from the east coast. Determining the story of how the wood got to Phoenix and to the company that made it possible was just as important to the story of the desk as the wood itself. Overall, this project explored my ability to construct a desk and build a story around that piece of art while maintaining a business mindset throughout. It was eye-opening to me and I would encourage you to read further!
ContributorsDuran, Alejandro Michael (Author) / Vitikas, Stanely (Thesis director) / Fleming, David (Committee member) / Economics Program in CLAS (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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
The complexity of supply chains (SC) has grown rapidly in recent years, resulting in an increased difficulty to evaluate and visualize performance. Consequently, analytical approaches to evaluate SC performance in near real time relative to targets and plans are important to detect and react to deviations in order to prevent major disruptions.
Manufacturing anomalies, inaccurate forecasts, and other problems can lead to SC disruptions. Traditional monitoring methods are not sufficient in this respect, because com- plex SCs feature changes in manufacturing tasks (dynamic complexity) and carry a large number of stock keeping units (detail complexity). Problems are easily confounded with normal system variations.
Motivated by these real challenges faced by modern SC, new surveillance solutions are proposed to detect system deviations that could lead to disruptions in a complex SC. To address supply-side deviations, the fitness of different statistics that can be extracted from the enterprise resource planning system is evaluated. A monitoring strategy is first proposed for SCs featuring high levels of dynamic complexity. This presents an opportunity for monitoring methods to be applied in a new, rich domain of SC management. Then a monitoring strategy, called Heat Map Contrasts (HMC), which converts monitoring into a series of classification problems, is used to monitor SCs with both high levels of dynamic and detail complexities. Data from a semiconductor SC simulator are used to compare the methods with other alternatives under various failure cases, and the results illustrate the viability of our methods.
To address demand-side deviations, a new method of quantifying forecast uncer- tainties using the progression of forecast updates is presented. It is illustrated that a rich amount of information is available in rolling horizon forecasts. Two proactive indicators of future forecast errors are extracted from the forecast stream. This quantitative method re- quires no knowledge of the forecasting model itself and has shown promising results when applied to two datasets consisting of real forecast updates.
Manufacturing anomalies, inaccurate forecasts, and other problems can lead to SC disruptions. Traditional monitoring methods are not sufficient in this respect, because com- plex SCs feature changes in manufacturing tasks (dynamic complexity) and carry a large number of stock keeping units (detail complexity). Problems are easily confounded with normal system variations.
Motivated by these real challenges faced by modern SC, new surveillance solutions are proposed to detect system deviations that could lead to disruptions in a complex SC. To address supply-side deviations, the fitness of different statistics that can be extracted from the enterprise resource planning system is evaluated. A monitoring strategy is first proposed for SCs featuring high levels of dynamic complexity. This presents an opportunity for monitoring methods to be applied in a new, rich domain of SC management. Then a monitoring strategy, called Heat Map Contrasts (HMC), which converts monitoring into a series of classification problems, is used to monitor SCs with both high levels of dynamic and detail complexities. Data from a semiconductor SC simulator are used to compare the methods with other alternatives under various failure cases, and the results illustrate the viability of our methods.
To address demand-side deviations, a new method of quantifying forecast uncer- tainties using the progression of forecast updates is presented. It is illustrated that a rich amount of information is available in rolling horizon forecasts. Two proactive indicators of future forecast errors are extracted from the forecast stream. This quantitative method re- quires no knowledge of the forecasting model itself and has shown promising results when applied to two datasets consisting of real forecast updates.
ContributorsLiu, Lei (Author) / Runger, George C. (Thesis advisor) / Gel, Esma (Committee member) / Pan, Rong (Committee member) / Janakiram, Mani (Committee member) / Arizona State University (Publisher)
Created2015