Memory assembly and testing OEM as the IC semiconductor backend process by Taiwan conducts 30% manufacturing output globally. Mainly 50% of the output focused on DRAM. The quality and shipping were headed as the key factor all over the world. The manufacturing process improved in South Korea and mainland China accompanied with the raw material price rising after the 311 earthquake in Japan, enterprises encountering enormous challenge so their OEM manufacturing needs to incorporate the copper wiring process and lower the cost to enhance the competitiveness. The rush orders exhausted the DRAM on-hand parts after economic recovery during the first half of 2011. The shortage mainly came from raw materials, human resources and equipments. Precise planning with elastic resource and information system control became the top priority. Therefore as Elpida, the DRAM manufacturer in Japan, filed the bankruptcy protection, memory assembly and testing OEM manufacturers should be paced in tuning the policy of enterprise, organization, production elements and information system to face the rapid global economic environments change. We propose architecture-oriented memory assembly and testing OEM factory manufacturing resource planning management model (AOMATOEMFMRPMM) in this study. AOMATOEMFMRPMM is an enterprise architecture which uses structure-behavior coalescence to define the components, operations and task forces during the planning of the manufacturing resources. AOMATOEMFMRPMM lets corporation supervisors understand and manipulate effectively the manufacturing resources, lessen the risk of re-organization, improve the quality of maintenance and efficiency of communication of the information system.

<p>Within the electric power industry, the average company's enterprise system - i.e. the overall system of IT related entities - is today highly complex. Technically, large organizations posses hundreds or thousands of extensively interconnected and heterogeneous single IT systems performing tasks that varies from enterprise resource planning to real-time control and monitoring of industrial processes. Moreover are these systems storing a wide variety of sometimes redundant data, and typically they are deployed on several different platforms. IT does, however, not execute in splendid isolation. Organizationally, the enterprise system embraces business processes and business units using as well as maintaining and acquiring the IT systems. The interplay between the organization and the IT systems are further determined by for instance business goals, ownership and governance structures, strategies, individual system users, documentation, and cost. </p><p>Lately, Enterprise Architecture (EA) has evolved with the mission to take a holistic approach to managing the above depicted enterprise system. The discipline's presumption is that architectural models are the key to succeed in understanding and administrating enterprise systems. Compared to many other engineering disciplines, EA is quite immature in many respects. This thesis identifies and elaborates on some important aspects that to date have been overlooked to a large extent. Firstly, the lack of explicit purpose for architectural models is identified. The thesis argues that the concerns of a company's Chief Information Officer (CIO) should guide the rationale behind the development of EA models. In particular, distribution of IT related information and knowledge throughout the organization is emphasized as an important concern uncared for. Secondly, the lack of architectural theory is recognized. The thesis provides examples of how theory, or analysis procedures, could be incorporated into the Enterprise Architecture approach and hereby concretely drive the development of the architectural models. Due to the nature of enterprise systems, EA theories inevitable will be of an indicative character. Finally, in relation to the models as such, three aspects are highlighted. Firstly, the cost of collecting information from the organization to populate models is routinely neglected by the EA community. This expense should be evaluated in relation to the utility of analyses that the information can provide in terms of better informed decision making by the CIO. Secondly, models (and meta-models) must be kept consistent. And thirdly, the design of models is restricted by the limited mental capabilities of the minds of the model users. CIO concerns must consequently be easy to extract from the Enterprise Architecture models. </p><p><b>Key words:</b> Enterprise Architecture, Enterprise System, Chief Information Officer (CIO), Information Technology (IT) Management, Architectural Theory, Electric Power Industry</p>

Within the electric power industry, the average company's enterprise system - i.e. the overall system of IT related entities - is today highly complex. Technically, large organizations posses hundreds or thousands of extensively interconnected and heterogeneous single IT systems performing tasks that varies from enterprise resource planning to real-time control and monitoring of industrial processes. Moreover are these systems storing a wide variety of sometimes redundant data, and typically they are deployed on several different platforms. IT does, however, not execute in splendid isolation. Organizationally, the enterprise system embraces business processes and business units using as well as maintaining and acquiring the IT systems. The interplay between the organization and the IT systems are further determined by for instance business goals, ownership and governance structures, strategies, individual system users, documentation, and cost. Lately, Enterprise Architecture (EA) has evolved with the mission to take a holistic approach to managing the above depicted enterprise system. The discipline's presumption is that architectural models are the key to succeed in understanding and administrating enterprise systems. Compared to many other engineering disciplines, EA is quite immature in many respects. This thesis identifies and elaborates on some important aspects that to date have been overlooked to a large extent. Firstly, the lack of explicit purpose for architectural models is identified. The thesis argues that the concerns of a company's Chief Information Officer (CIO) should guide the rationale behind the development of EA models. In particular, distribution of IT related information and knowledge throughout the organization is emphasized as an important concern uncared for. Secondly, the lack of architectural theory is recognized. The thesis provides examples of how theory, or analysis procedures, could be incorporated into the Enterprise Architecture approach and hereby concretely drive the development of the architectural models. Due to the nature of enterprise systems, EA theories inevitable will be of an indicative character. Finally, in relation to the models as such, three aspects are highlighted. Firstly, the cost of collecting information from the organization to populate models is routinely neglected by the EA community. This expense should be evaluated in relation to the utility of analyses that the information can provide in terms of better informed decision making by the CIO. Secondly, models (and meta-models) must be kept consistent. And thirdly, the design of models is restricted by the limited mental capabilities of the minds of the model users. CIO concerns must consequently be easy to extract from the Enterprise Architecture models. Key words: Enterprise Architecture, Enterprise System, Chief Information Officer (CIO), Information Technology (IT) Management, Architectural Theory, Electric Power Industry

Modern society is unquestionably heavily reliant on supply of electricity. Hence, the power system is one of the important infrastructures for future growth. However, the power system of today was designed for a stable radial flow of electricity from large power plants to the customers and not for the type of changes it is presently being exposed to, like large scale integration of electric vehicles, wind power plants, residential photovoltaic systems etc. One aspect of power system control particular exposed to these changes is the design of power system control and protection functionality. Problems occur when the flow of electricity changes from a unidirectional radial flow to a bidirectional. Such an implication requires redesign of control and protection functionality as well as introduction of new information and communication technology (ICT). To make matters worse, the closer the interaction between the power system and the ICT systems the more complex the matter becomes from a reliability perspective. This problem is inherently cyber-physical, including everything from system software to power cables and transformers, rather than the traditional reliability concern of only focusing on power system components. The contribution of this thesis is a framework for reliability analysis, utilizing system modeling concepts that supports the industrial engineering issues that follow with the imple-mentation of modern substation automation systems. The framework is based on a Bayesian probabilistic analysis engine represented by Probabilistic Relational Models (PRMs) in com-bination with an Enterprise Architecture (EA) modeling formalism. The gradual development of the framework is demonstrated through a number of application scenarios based on substation automation system configurations. This thesis is a composite thesis consisting of seven papers. Paper 1 presents the framework combining EA, PRMs and Fault Tree Analysis (FTA). Paper 2 adds primary substation equipment as part of the framework. Paper 3 presents a mapping between modeling entities from the EA framework ArchiMate and substation automation system configuration objects from the IEC 61850 standard. Paper 4 introduces object definitions and relations in coherence with EA modeling formalism suitable for the purpose of the analysis framework. Paper 5 describes an extension of the analysis framework by adding logical operators to the probabilistic analysis engine. Paper 6 presents enhanced failure rates for software components by studying failure logs and an application of the framework to a utility substation automation system. Finally, Paper 7 describes the ability to utilize domain standards for coherent modeling of functions and their interrelations and an application of the framework utilizing software-tool support. / <p>QC 20140505</p>

This dissertation investigates the dynamics that underlie enterprise performance and takes a significant step toward showing how it might be predicted. In a novel approach, a comprehensive Enterprise System Architecture (ESA) is developed that introduces separate layers for strategic and operational processes, respectfully. We identify four broad dimensions that contribute to and influence enterprise performance: (1) enterprise processes, (2) technology-based support of enterprise processes [denoted information systems], (3) technology structure and deployment [denoted information technology], and (4) Enterprise Architecture (EA). Detailed interviews were conducted with ten executives, mostly from the aerospace and defense industry, along with a web-based survey of aerospace and defense industry executives. We empirically determine a value for each dimension of maturity and individually assess it as a predictor of enterprise performance. ESA maturity is calculated as the weighted summation of each of dimensional maturity, and is also evaluated as a predictor of enterprise performance. Results indicate that ESA maturity, the weighted summation of process maturity, information systems maturity, information technology maturity, and enterprise architecture maturity, is a good predictor of enterprise performance. In order to provide some practical utility to our empirical results, we outline an ESA maturity assessment framework to enable decision-makers to assess the overall maturity of an enterprise system. Two other extensions of our research results, the development of a strategic layer analysis / portrayal tool, and enterprise system simulation, are also briefly described.

Tese (doutorado)—Universidade de Brasília, Faculdade de Ciência da Informação, 2011. / Submitted by Albânia Cézar de Melo (albania@bce.unb.br) on 2011-12-22T12:13:22Z No. of bitstreams: 1 2011_JorgeCordeiroDuarte.pdf: 4994378 bytes, checksum: 87522d963519e02cd0e2362bfae5abca (MD5) / Approved for entry into archive by Marília Freitas(marilia@bce.unb.br) on 2012-01-03T15:23:15Z (GMT) No. of bitstreams: 1 2011_JorgeCordeiroDuarte.pdf: 4994378 bytes, checksum: 87522d963519e02cd0e2362bfae5abca (MD5) / Made available in DSpace on 2012-01-03T15:23:15Z (GMT). No. of bitstreams: 1 2011_JorgeCordeiroDuarte.pdf: 4994378 bytes, checksum: 87522d963519e02cd0e2362bfae5abca (MD5) / As organizações atuam hoje em um ambiente caracterizado pela mudança constante. Por isso, necessitam de instrumentos que permitam agilidade para adaptar suas estratégias, processos e sistemas µas necessidades de cada momento. A Arquitetura Empresarial (AE) tem sido identificada por pesquisadores como a abordagem adequada para prover a agilidade organizacional, pois permite o conhecimento dos elementos organizacionais favorecendo planejar e realizar as mudanças necessárias. Entretanto, a AE ainda não é uma realidade para a maioria das organizações. Os motivos são a complexidade inerente, a falha das abordagens atuais para lidar com essa complexidade e o custo das ferramentas envolvidas. A AE é uma disciplina em desenvolvimento e requer princípios, teorias e instrumentos adequados µa sua natureza e acessíveis a organizações de qualquer porte. Nesse contexto, este estudo identifica um novo referencial teórico: a AE como Arquitetura de Informação Organizacional (AIO). O estudo propõe, ainda, uma abordagem para a AIO, que se fundamenta nos princípios da colaboração organizacional e nos métodos frágeis. Seu principal objetivo é reduzir a complexidade e o custo da AIO. A solução proposta é avaliada em estudo de caso em uma instituição do sistema financeiro brasileiro. ______________________________________________________________________________ ABSTRACT / Currently, organizations operate in an environment marked by constant changes. Thus, they need instruments bringing agility to adopt their strategies, processes and systems to each moment needs. Enterprise Architecture (EA) has been identified by researchers as the approach suitable to the organizational agility as it allows the know-ledge of different organizational elements leading to planning and accomplishment of the changing actions. However, AE has not comprised the most part of organizations yet. The reasons are due to its complexity, the current approach failure to deal with the complexity and the cost of the tools involved. AE is an on-going process discipline and it requires appropriate principles and specific theories and instruments for organizations of any size. In this context, this study identifies a new theoretical framework: EA as Architecture of Information for Organizations (AIO) and proposes a new approach that is based on the principles of organizational collaboration and agile methods. Its main objective is to reduce complexity and cost of AIO. The proposed solution is evaluated on a case study in an institution of the Brazilian financial system. Currently, organizations operate in an environment marked by constant changes. Thus, they need instruments bringing agility to adopt their strategies, processes and systems to each moment needs. Enterprise Architecture (EA) has been identified by researchers as the approach suitable to the organizational agility as it allows the know-ledge of different organizational elements leading to planning and accomplishment of the changing actions. However, AE has not comprised the most part of organizations yet. The reasons are due to its complexity, the current approach failure to deal with the complexity and the cost of the tools involved. AE is an on-going process discipline and it requires appropriate principles and specific theories and instruments for organizations of any size. In this context, this study identfies a new theoretical framework: EA as Architecture of Information for Organizations (AIO) and proposes a new approach that is based on the principles of organizational collaboration and agile methods. Its main objective is to educe complexity and cost of AIO. The proposed solution is evaluated on a case study in an institution of the Brazilian financial system.

This thesis deals with the topic of benefits and challenges of Enterprise Architecture (EA) use in organizations. The main objective of this thesis is the critical analysis of EA potential use in sample organization by examining its benefits and challenges, which results in form of recommendations necessary for efficient management of the organization using EA. Firstly, the thesis introduces the topic of EA along with its core concepts and principles. Then, the author discusses main drivers for EA and its typical application. Perceived in the field of EA benefits and challenges are identified and classified. The result is then confronted with a practical case study, which describes EA application in a sample organization. The author conducts the experimental EA initiative in that organization, by modeling current state (as-is) and potential solution architectures. The main deliverable of this initiative for the organization is the critical analysis of potential EA use within the organization with the identification of its added value and challenges. The findings are then summarized in form of recommendations for the future development of information systems of the organization.

The aim of the final thesis Methods for IT investment evaluation and decision making is to verify relationship between strategy of the company its Enterprise Architecture and IT investments evaluation. To achieve the aim of the thesis is necessary to define the term of Enterprise Architecture and its relationship with IT Project Portfolio Management. The literature retrieval which follows after is focused on calculation of IT investment profitability and return. The calculation is very difficult due to intangible benefits which are one of the common goals of IT investments. The customer satisfaction, improve of the current business process or employees satisfaction are one of the examples of the intangible benefits. Cost/Benefit analysis is one of the methods depicted for calculation of the intangible benefits. Methods for decision support as Analytic Hierarchy Process are highlighted as the significant instrument. The risk analysis and simulation of the risk in IT investments decision making are also mentioned but according to the scope of thesis just very briefly. Major methods are used on the model example of the evaluation and decision making process to demonstrate the whole theoretical part of the thesis. The biggest added value of the final thesis is the deep analysis of the relationship between strategy of the company its Enterprise Architecture and IT investment evaluation. Entire final thesis should be used as the fundament for IT investment evaluation and decision making framework.

Business architecture is compared to the enterprise architecture discipline still unexplored. While a number of papers and literature on enterprise architecture has been written, business architecture remains behind in this respect. This thesis mainly deals with the creation of a conceptual model of business architecture artifacts and comparing them with open source tools. The primary objective of this study is to compare open source tools to support the business architecture artifacts. To fulfill this primary objective is important secondary objective. The secondary objective is to analyze the most highly cited expert articles and scientific literature and analyzing the most common architectural frameworks in organizations. Based on the analysis of these sources of information create conceptual artifacts BA model with the largest number of their occurrence. These artifacts will be assigned to specific models, which fulfill them. After reaching the secondary target, comes the fulfillment of the primary objectives. Then selected open source tools will be compared with that created a conceptual model and evaluated as a measure of its fulfillment.

In today's economics, medium and large-size companies are trying to gain a competitive advantage from specialization and centralization of supporting services. This trend affects also areas of enterprise architecture and integration where they establish particular teams to support the disciplines in regular manner. Despite a lot of research activities oriented towards these topics, there are only a few focusing on organizational aspects and cooperation between enterprise architecture and integration teams. As the companies are on different levels of the maturity in both areas and focusing on different aspects of architecture and integration, there is no simple solution that could provide detailed guidelines for establishing the right cooperation approach. Goal of this dissertation is to propose a cooperation model for architecture and integration teams that should make cooperation between such teams more efficient. Integral part of the dissertation is to verify the model in real environment. The model is built on top of integration activities performed either in enterprise architecture or integration teams or both. These activities are categorized into particular integration areas and relations are identified between integration areas and architecture areas defined according to TOGAF architecture framework. The resulting model is then being used to depict various kind of cooperation between architecture and integration teams based on the companys' integration goals. Verification of the model is performed in financial enterprise in two cases and confirms the benefits of the model.