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With the rapid development of mobile sensing technologies like GPS, RFID, sensors in smartphones, etc., capturing position data in the form of trajectories has become easy. Moving object trajectory analysis is a growing area of interest these days owing to its applications in various domains such as marketing, security, traffic

With the rapid development of mobile sensing technologies like GPS, RFID, sensors in smartphones, etc., capturing position data in the form of trajectories has become easy. Moving object trajectory analysis is a growing area of interest these days owing to its applications in various domains such as marketing, security, traffic monitoring and management, etc. To better understand movement behaviors from the raw mobility data, this doctoral work provides analytic models for analyzing trajectory data. As a first contribution, a model is developed to detect changes in trajectories with time. If the taxis moving in a city are viewed as sensors that provide real time information of the traffic in the city, a change in these trajectories with time can reveal that the road network has changed. To detect changes, trajectories are modeled with a Hidden Markov Model (HMM). A modified training algorithm, for parameter estimation in HMM, called m-BaumWelch, is used to develop likelihood estimates under assumed changes and used to detect changes in trajectory data with time. Data from vehicles are used to test the method for change detection. Secondly, sequential pattern mining is used to develop a model to detect changes in frequent patterns occurring in trajectory data. The aim is to answer two questions: Are the frequent patterns still frequent in the new data? If they are frequent, has the time interval distribution in the pattern changed? Two different approaches are considered for change detection, frequency-based approach and distribution-based approach. The methods are illustrated with vehicle trajectory data. Finally, a model is developed for clustering and outlier detection in semantic trajectories. A challenge with clustering semantic trajectories is that both numeric and categorical attributes are present. Another problem to be addressed while clustering is that trajectories can be of different lengths and also have missing values. A tree-based ensemble is used to address these problems. The approach is extended to outlier detection in semantic trajectories.
ContributorsKondaveeti, Anirudh (Author) / Runger, George C. (Thesis advisor) / Mirchandani, Pitu (Committee member) / Pan, Rong (Committee member) / Maciejewski, Ross (Committee member) / Arizona State University (Publisher)
Created2012
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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

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
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Description
The purpose of this thesis research project is to explore blockchain technology and its present and future applications within supply chain management. Emerging blockchain technologies, both public and private, are already showing great promise for a number of applications in and outside supply chain management. Our sole focus is to

The purpose of this thesis research project is to explore blockchain technology and its present and future applications within supply chain management. Emerging blockchain technologies, both public and private, are already showing great promise for a number of applications in and outside supply chain management. Our sole focus is to understand the fundamentals of blockchain, smart contracts, current applications in supply chain, and the future possibilities for blockchain to shape global supply chains. Many have theorized about how private blockchains can be implemented and used; however, there is little research to date that has collected and explored the actual use cases in industry today. The mission of this research paper is to separate theory from the current state of the technology and provide a clearer understanding of where the technology is headed in the near future. We aim to produce a work that will provide a comprehensive description and commentary on current use cases for the education of students and industry professionals alike. With any new technological developments, terminology and technicalities can be paralyzing, and this is particularly true for blockchain technology. For this project, our goal was to create a document that cuts through the complexities and allows a non-technical audience to gain a strong foundational understanding of blockchain's potential and current limitations within supply chains. Provided this, some highly technical concepts and implementation details will not be explored due to the complexity and minimal understanding even amongst industry experts. As future supply chain professionals, we are motivated to further our understanding of blockchain technologies and the potential for this technology to shape the future of supply chain management.
ContributorsBecker, Logan (Co-author) / Falco, Alexander (Co-author) / Murphy, Thomas Brian (Co-author) / Taylor, Todd (Thesis director) / Wiedmer, Robert (Committee member) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
This thesis investigates the potential of life cycle analysis for more sustainable sourcing strategies in organizations. Using the example of the College of Lake County (CLC) in Illinois, I study how life-cycle analysis can help to improve the procurement of products and services in higher education. Currently, CLC's purchasing team

This thesis investigates the potential of life cycle analysis for more sustainable sourcing strategies in organizations. Using the example of the College of Lake County (CLC) in Illinois, I study how life-cycle analysis can help to improve the procurement of products and services in higher education. Currently, CLC's purchasing team does not understand how sourcing affects operational and environmental performance. In addition, CLC's purchasing team does not communicate effectively with other departments from a product utilization standpoint. The objective of this research is to analyze CLC's current product procurement process and to assess the feasibility of implementing life cycle analysis tools. Further, I evaluate different life cycle analysis tools and provide recommendations to CLC about the applicability of these tools so that they may be implemented into the university in the future. First, I find that both the procurement and IT department at CLC are not familiar with life-cycle analysis tools and hence, do not know about the life cycle of their processes and services. Second, I identify professional life cycle analysis tools relevant for CLC. Two software options, GaBi and SimaPro, are discussed. Finally, I suggest six steps for a successful implementation of life cycle analysis at CLC: (1) form an interdisciplinary team, (2) analyze demand and collect additional data, (3) conduct a product life cycle analysis using a software tool, (4) define which products to analyze further, (5) conduct life cycle costing analysis with the same software tool, and (6) utilize these results for decisions and delegation of responsibility.
ContributorsGotsch, Rachel Lynne (Author) / Wiedmer, Robert (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
The following report addresses sustainable supply chain management (SSCM) and its application in the fashion industry. The purpose is to draw conclusions on why companies implement sustainability into their processes, and how these sustainable monitoring practices contribute to operational, competitive and financial advantages. This report contains various methods of analysis.

The following report addresses sustainable supply chain management (SSCM) and its application in the fashion industry. The purpose is to draw conclusions on why companies implement sustainability into their processes, and how these sustainable monitoring practices contribute to operational, competitive and financial advantages. This report contains various methods of analysis. Research derived from numerous scholarly articles on measurement methods, theories and governance structures will be discussed to develop a background on the current status of SSCM in the fashion industry, including the notable strengths and weaknesses. To understand the depth of practices involved in managing a sustainable supply chain, four leading companies within the industry will be analyzed using their annual sustainability reports. Based on this analysis, it can be concluded that sustainable practices are abundantly present in today's leading fashion companies, each having different mindsets motivating their sustainable actions. With this conclusion, it's also important to acknowledge that there's far more progress to be made in terms of sustainable development on a company and industry level, in order to make a lasting impact.
ContributorsRezzonico, Jordan Nicole (Author) / Dooley, Kevin (Thesis director) / Wiedmer, Robert (Committee member) / W.P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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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

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.
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
Description

The Russian invasion of Ukraine began in February 2022, and has caused a ripple effect of global supply disruptions. The United States, Canada, EU and other allies have responded to the Russian invasion of Ukraine by sanctioning imports from Russia in an attempt to isolate their economy. However, some countries

The Russian invasion of Ukraine began in February 2022, and has caused a ripple effect of global supply disruptions. The United States, Canada, EU and other allies have responded to the Russian invasion of Ukraine by sanctioning imports from Russia in an attempt to isolate their economy. However, some countries that have not placed trade sanctions on Russia are taking advantage of the opportunity to import from Russia. By integrating import data from Panjiva into a geospatial mapping tool, ArcGIS, global trade patterns can be visualized to understand how global trade is impacted, the effectiveness of Western sanctions on Russia, and potential substitution effects on trade flows from one country to another. First, six key commodities and three countries were identified based on preliminary data analysis. After further analysis, it can be concluded that the Russian sanctions were not effective at isolating their economy for two reasons: certain commodities are critical to our modern lifestyles and some countries took advantage of Western trade sanctions on Russia and increased global trade. In an attempt to diversify their supply, many firms sourced from countries other than Russia, but oftentimes commodities are still sourced from Russia. Lack of supply chain visibility prevents business leaders from making the most efficient supply networks that are in alignment with government regulations.

ContributorsWilliams, Sara (Author) / Wiedmer, Robert (Thesis director) / Toro, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor)
Created2023-05
ContributorsWilliams, Sara (Author) / Wiedmer, Robert (Thesis director) / Toro, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor)
Created2023-05
ContributorsWilliams, Sara (Author) / Wiedmer, Robert (Thesis director) / Toro, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor)
Created2023-05
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Description
This thesis assesses the current state of the supply chains of healthcare equipment in the United States. Using the assessment, conclusions are drawn regarding the resilience and effectiveness of healthcare equipment supply chains, both in the U.S. and globally. Finally, some solutions for the issues encountered with healthcare equipment, such

This thesis assesses the current state of the supply chains of healthcare equipment in the United States. Using the assessment, conclusions are drawn regarding the resilience and effectiveness of healthcare equipment supply chains, both in the U.S. and globally. Finally, some solutions for the issues encountered with healthcare equipment, such as regulation and standardization for equipment, are noted and discussed in the context of the study.
ContributorsKoeller, Jack (Author) / Wiedmer, Robert (Thesis director) / Schneller, Eugene (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor)
Created2023-05