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- Creators: Dean, W.P. Carey School of Business
- Creators: Arizona State University
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.
In the first chapter, a supply chain operating model that breaks away from the traditional healthcare supply chain structures is examined. Consolidated Service Centers (CSCs) embody a shared services strategy, consolidating supply chain functions across multiple hospitals (i.e. horizontal integration) and disintermediating several key roles in healthcare supply chains such as the group purchasing organizations and national distributors. Through case studies, key characteristics of CSCs that enable them to reduce the level of supply chain complexity are examined.
The second chapter investigates buyer-supplier relationships in healthcare (i.e. supplier integration), where a high level of distrust exists between hospitals and their suppliers. This context is leveraged to study both enablers and barriers to buyer-supplier trust. The results suggest that contracting counteracts the negative effects of dependence on trust. Furthermore, the study reveals that hospital buyers may, in some situations, perceive dedicated resource investments made by suppliers as trust barriers, associating such investments with supplier upselling and entrenchment tactics. This runs contrary to how dedicated investments are perceived in most other industries.
In the third chapter, the triadic relationship between the hospital, supplier, and physician is taken into consideration. Given their professional autonomy and power, physicians commonly undermine hospital efforts in supply base rationalization and standardization. This study examines whether physician-hospital integration (i.e. customer integration) can drive physicians towards supply selection practices that align with the hospital’s sourcing strategies and ultimately result in better supply chain performance. This study utilizes theory on agency triads and professionalism and tests hypotheses through a random effects regression model applied to data about hospital financial performance and physician-hospital arrangements.
The surge of United States high-tech firms offshoring operations to China was driven by economic incentives of the early 1990s, low costs of labor, and ample access to an abundance of resources required in high-tech manufacturing. The dawn of the 21st century served as the advent of technological advancement and innovation in congruence with China’s rapid ascension as a prime high-tech manufacturing hub. However, increased allegations of foreign intellectual property (IP) infringement in outsourced research and development (R&D) and manufacturing on behalf of China’s state-owned enterprises (SOE) have evoked concern amongst international speculators, who allege China of weakened intellectual property enforcement and collusive tactics with state-owned enterprises in the cultivation of an anti-competitive marketplace. This thesis applies a trilateral approach to determine the optimal legal, supply chain management, and business strategies to safeguard the intellectual property of high-tech firms with outsourced operations in China.<br/><br/>Firstly, this thesis explores China’s rapid acceleration of manufacturing capabilities in tandem with nationalist initiatives, historical background, and subsequent influence cultural notions; aspirations in attaining global dominance as a high-tech innovator via nationalist programs and incentives. Succeeding is a comparative analysis of intellectual property between the United States and China, associations between intellectual property protection and economic development, and global intellectual property agreeance as set forth by the World Trade Organization (WTO). Following is a legal analysis of China, which assesses legislation, judicial structure, and litigation. Lastly, is an assessment of supply chain management in China, which assesses high-tech outsourcing practices, the vulnerability of intellectual property in research and development, instances of patent infringement, unfair licensing practices, and trade secret misappropriation.
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.