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Dimensional Metrology is the branch of science that determines length, angular, and geometric relationships within manufactured parts and compares them with required tolerances. The measurements can be made using either manual methods or sampled coordinate metrology (Coordinate measuring machines). Manual measurement methods have been in practice for a long time

Dimensional Metrology is the branch of science that determines length, angular, and geometric relationships within manufactured parts and compares them with required tolerances. The measurements can be made using either manual methods or sampled coordinate metrology (Coordinate measuring machines). Manual measurement methods have been in practice for a long time and are well accepted in the industry, but are slow for the present day manufacturing. On the other hand CMMs are relatively fast, but these methods are not well established yet. The major problem that needs to be addressed is the type of feature fitting algorithm used for evaluating tolerances. In a CMM the use of different feature fitting algorithms on a feature gives different values, and there is no standard that describes the type of feature fitting algorithm to be used for a specific tolerance. Our research is focused on identifying the feature fitting algorithm that is best used for each type of tolerance. Each algorithm is identified as the one to best represent the interpretation of geometric control as defined by the ASME Y14.5 standard and on the manual methods used for the measurement of a specific tolerance type. Using these algorithms normative procedures for CMMs are proposed for verifying tolerances. The proposed normative procedures are implemented as software. Then the procedures are verified by comparing the results from software with that of manual measurements.

To aid this research a library of feature fitting algorithms is developed in parallel. The library consists of least squares, Chebyshev and one sided fits applied on the features of line, plane, circle and cylinder. The proposed normative procedures are useful for evaluating tolerances in CMMs. The results evaluated will be in accordance to the standard. The ambiguity in choosing the algorithms is prevented. The software developed can be used in quality control for inspection purposes.
ContributorsVemulapalli, Prabath (Author) / Shah, Jami J. (Thesis advisor) / Davidson, Joseph K. (Committee member) / Takahashi, Timothy (Committee member) / Arizona State University (Publisher)
Created2014
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Description
The key chanllenge for Small and Micro Enterprises (SMEs) to get credit or loans is the fact that traditional financing business model in commercial banks cannot meet SMEs’ financial needs. Through extensive theoretical research, market analysis especially on SMEs’ behavioral characteristics and demands, serveral case studies on market-leading banks such

The key chanllenge for Small and Micro Enterprises (SMEs) to get credit or loans is the fact that traditional financing business model in commercial banks cannot meet SMEs’ financial needs. Through extensive theoretical research, market analysis especially on SMEs’ behavioral characteristics and demands, serveral case studies on market-leading banks such as Wells Fargo and KASIKORN BANK, and the actual implementation experiences in China Minsheng Bank and Pingan Bank, this article proposes a new business model for servicing SMEs for commercial banks in China, which includes the principle and rationale of the business model, the technical foundation, business process and organizational structure, as well as the future transition of the model.
ContributorsZhao, Jichen (Author) / Chen, Hong (Thesis advisor) / Pei, Ker-Wei (Thesis advisor) / Chang, Chun (Committee member) / Arizona State University (Publisher)
Created2015
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Description
This study investigates three issues that are relevant for the development of multinational investment banks in China. The first is about the domestic market conditions that are necessary for a country to develop multinational investment banks. The second issue is about the degree to which China has met these conditions.

This study investigates three issues that are relevant for the development of multinational investment banks in China. The first is about the domestic market conditions that are necessary for a country to develop multinational investment banks. The second issue is about the degree to which China has met these conditions. The last issue focuses on the potential strategies Chinese investment banks can undertake to become multinational corporations.

To address the first issue, I draw an important distinction between international investment banks and multinational investment banks. For an international investment bank to be regarded as a multinational, I propose that it must have a strong presence (i.e., holding at least one percent of the market share) in at least two of the seven major capital markets in the world. Using this criterion, I identify 25 multinational investment banks. I then analyze their home countries’ domestic market conditions and propose that the following six factors are important to the development of multinational investment banks: the size of the home country’s gross domestic product (GDP), the total capitalization of its domestic security market, the number of its Global 500 firms, the volume of its foreign direct investment (FDI), the internationalization of its currency, and the openness of its capital market to foreign investors.

By comparisons, I find that China’s domestic market conditions are comparable to the home countries of multinational investment banks with respect to the size of GDP, total market capitalization, the number of Global 500 firms, and the volume of FDI. What China lags behind are the internationalization of currency and the openness of capital market to foreign investors. Given the current trends of development, it is very likely that China will be able to catch up on the latter within ten years, thus meeting all the conditions necessary for the development of multinational investment banks.

Based on the above findings, I suggest that Chinese investment banks seize this historical opportunity, speed up the internationalization of their businesses, and learn from the experiences of global industry leaders to become truly multinational corporations.
ContributorsLiu, Xin (Author) / Chang, Chun (Thesis advisor) / Shen, Wei (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015
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Description随着中国居民消费占GDP比例的提升,人均GDP的增长,银行等贷款机构对个人和零售业务的长期发展,中国金融机构的个人贷款不良资产规模发生了很大的变化。居民个人对外负债主要是以债权方式体现。基于债权的一致性,对于借贷人的个人外部负债缺少特定的强制性的偿贷顺序安排,偿贷行为也不会受到法律框架的强制约束,导致借贷人在偿贷能力不足时,个体的主观意愿对于偿贷行为结果的影响显著。 既往的个人贷款不良资产管理和服务模式,均参照企业贷款不良资产管理和服务模式,体现出在标的资产的产品特点、信贷主体差异、法律完备性、对公共基础服务支撑要求等方面存在显著的不同。原有针对企业贷款不良资产的管理和服务模式在适应个人贷款不良资产管理和服务时,也就需要采用不同的方式和策略,所以,优化、提升对于借贷人的管理和服务模式就存在必要的调整和优化空间。 由于借贷人的自然人属性,区别于企业的法人属性,其生命周期自然存续期间,偿贷能力存在修复的可能,外部征信环境的改善,也会对个人贷款不良资产的产生影响。现有的个人贷款不良资产的管理和服务模式也需要做出必要的调整过和安排。 21世纪前20年,互联网/通讯/IT技术发展迅速,AI、BigData、Blockchain等技术逐渐成熟,对厘清个人贷款不良资产偿贷机制提供了必要的基础数据。在此基础上,运用日趋完备的信息不对称和行为决策等理论工具,对既有对个人贷款不良资产管理和服务模式做出优化和调整就存在可能性。 本文基于P2P个人贷款不良资产管理和服务过程中形成的数据,选取金额回款率和失联事件发生率来计量借款人的行为决策结果,通过对这两个指标在个人贷款不良资产管理和服务中呈现的规律进行分析,初步厘清了个人贷款不良资产的偿贷过程中的行为决策机制,在既有框架基础上,对个人贷款不良资产管理和服务中的资产定价优化、资产交易模式、管理和服务机构评价、不良资产策略管理策略、催收服务策略等提供提供了有益的补充。
ContributorsGuo, Dagang (Author) / Huang, Xiaochuan (Thesis advisor) / Chang, Chun (Thesis advisor) / Zhu, Ning (Committee member) / Hong, Yili (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Ever since the registration of private banks was deregulated in Taiwan in 1991, the sector has suffered significant decline in profitability. Facing such a dynamic sector yet vital to domestic economy, what should the banks do to successfully improve their competiveness? As external changes are often unpredictable, the exploration and

Ever since the registration of private banks was deregulated in Taiwan in 1991, the sector has suffered significant decline in profitability. Facing such a dynamic sector yet vital to domestic economy, what should the banks do to successfully improve their competiveness? As external changes are often unpredictable, the exploration and buildup of internal resources is a critical approach. This article focuses on how to effectively manage internal competition so as to upgrade business performance and accomplish organizational goals.

This article discusses the effects of the compensation system and employee incentives on business performance in banking in two areas. First of all, based on the statistics on the banking sector in Taiwan, it explores the regulating effects of different compensation systems on two conflicts in the industry. It also reviews the literature on Conflict Theory. Research shows that when people trust each other, they tend to accept a value statement different from theirs. And our research also shows that trust can minimize task conflict and relationship conflict between team members. Moreover, after identifying the role of compensation structure to trust and task conflict, this article further categorizes the structure into team performance reward and individual performance reward. Analysis points out that when the organization bases compensation payment on team performance reward, the relationship between trust and task conflict is higher than that on individual performance reward. That is, team performance reward better helps to reinforce such correlation compared to individual performance reward.

Second, the research studies different forms of employee incentives in Taiwan’s banking sector as well as resulting performance. During the studied period, the majority of the financial institutions preferred cash bonus. In addition, financial institutions also take other incentives. Cash bonus covered the highest percentage, followed by share bonus, treasury repo and transfer, and options in order. We study the ROEs under different incentives and conclude it is higher and more stable in the institutions offering multiple employee shares instead of single method. Whether the incentives are implemented also influence the level of net ROE.
ContributorsMing, Cheng (Author) / Lee, Peggy (Thesis advisor) / Chen, Hong (Thesis advisor) / Chang, Chun (Committee member) / Arizona State University (Publisher)
Created2016