• Journal of Periodontal and Implant Science
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• v.54 no.2
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• pp.63-64
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• 2024

• Journal of Korean Society for Quality Management
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• v.38 no.1
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• pp.1-9
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• 2010

Service Oriented Architecture(SOA) is an enterprise-scale IT architecture for linking software resources available on the network. SOA is believed to become the future enterprise solution that promises the agility and flexibility by integrating business processes through composition of the software services across enterprises. The first step for SOA construction is to identify the services. In this paper, we present a process-based service identification methodology for SOA through a case study of an IT company. Our methodology is composed of three steps: Processes (business & technical processes) analysis and systems analysis, Service candidates selection, and Service evaluation and construction planning. This framework would be practical and could be accepted to other organizations as it has been developed through the real case.

• Transactions of Materials Processing
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• v.9 no.5
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• pp.478-485
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• 2000

This study aims to Improve the productivity in forming of flanged thrust engine bearings from two kinds of laminated sheet materials by integrating the forming processes or by reducing the number of the subsequent sizing and machining processes or by modifying the forming tools used. For steel-Al rolled blank, a design scheme for the one-step forming operation and the geometry of the tool set required is suggested and is verified its usefulness by the finite element simulation. And for steel-Cu sintered blank, the results of experiment and finite element analysis show that it is possible to improve the dimensional accuracy of formed products and to reduce the number of sizing processes just by modifying the shape and dimensions of initial blanks and flange forming dies, and by controlling the spring force.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2006.11a
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• pp.303-306
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• 2006

Systems engineering is an interdisciplinary approach encompassing the entire technical effort to evolve and verify an integrated and total Life cycle balanced set of system, people, and process solutions that satisfy customer needs. Systems engineering is the integrating mechanism across the technical efforts related to the development, manufacturing, verification, deployment, operations, support, disposal at and user training for systems and their life cycle processes (EIA/IS 632). This paper introduces the principles and processes of systems engineering, based on EIA/IS 632, as a methodology for the development of large-complex marine systems.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1991.10a
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• pp.147-159
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• 1991

Stochastic convexity(concvity) of a stochastic process is a very useful concept for various stochastic optimization problems. In this study we first establish stochastic convexity of a certain class of Markov additive processes through the probabilistic construction based on the sample path approach. A Markov additive process is obtained by integrating a functional of the underlying Markov process with respect to time, and its stochastic convexity can be utilized to provide efficient methods for optimal design or for optimal operation schedule of a wide range of stochastic systems. We also clarify the conditions for stochatic monotonicity of the Markov process, which is required for stochatic convexity of the Markov additive process. This result shows that stochastic convexity can be used for the analysis of probabilistic models based on birth and death processes, which have very wide application area. Finally we demonstrate the validity and usefulness of the theoretical results by developing efficient methods for the optimal replacement scheduling based on the stochastic convexity property.

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.483-491
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• 2001

Data dictionary is a collection of metadata about data defined, produced and consumed while performing business processes. Data dictionary is an essential element for business process standardization and automation. Data dictionary also has a fundamental role in ERP application management and customization. Finally, data dictionary helps B2B by gracefully integrating intra-enterprise business processes and inter-enterprise business processes. This paper gives some clues about the importance of data dictionary in ERP and B2B, and introduces data dictionary support of SEA+, a component-based scalable ERP package system.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.1
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• pp.76-88
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• 1991

Stochastic convexity (concavity) of a stochastic process is a very useful concept for various stochastic optimization problems. In this study we first establish stochastic convexity of a certain class of Markov additive processes through probabilistic construction based on the sample path approach. A Markov additive process is abtained by integrating a functional of the underlying Markov process with respect to time, and its stochastic convexity can be utilized to provide efficient methods for optimal design or optimal operation schedule wide range of stochastic systems. We also clarify the conditions for stochastic monotonicity of the Markov process. From the result it is shown that stachstic convexity can be used for the analysis of probabilitic models based on birth and death processes, which have very wide applications area. Finally we demonstrate the validity and usefulness of the theoretical results by developing efficient methods for the optimal replacement scheduling based on the stochastic convexity property.

• Journal of Korea Society of Industrial Information Systems
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• v.5 no.3
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• pp.71-76
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• 2000

An enterprise resource planning(ERP) system is an enterprisewide management system made possible by information technology. Organizations have been implementing ERP packages for integrating the business processes in various functions. ERP has been helping companies to automate their entire business processes within the organization as a whole instead of just in sun functional units. This paper discusses the difficulties in the implementation process of ERP. Integration of core business processes throughout the supply chain; Tearing down of functional boundaries; Emergence of information technology as a process enabler.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.792-799
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• 2003

As eTransformation and collaborative eCommerce have been on the rise, business processes between business partners are increasingly recognized as important assets that need to be integrated. These trends imply more complex and dynamic business processes should be considered in order to integrate related business organizations and business units. Moreover, these business processes are widely distributed across stakeholders. Therefore, there is a need for business process modeling that is usable, flexible and capable of integrating systems consistently across businesses and technology barriers. In this paper, a business process modeling methodology is introduced, which is based on top­do\W and model-driven approach utilizing OMG's MDA(Model-Driven Architecture) and UML profile for EDOC(Enterprise Distributed Object Computing). This provides the ability to model business process at all levels simultaneously, to combine business process models retaining their meaning, to use business process design patterns constraining the behavior of sub-processes, and to derive specific codes from a stable model as the underlying infrastructure shifts over time. In addition, we suggest some modifications of the meta-model for EDOC-Business Process Profile by adding new features in order to model business processes rigidly. This paper illustrates some examples of business process modeling and compares them with UML diagrams and IDEF models. The proposed methodology is implemented to develop a business process modeling tool.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.218-233
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• 2008

This study reveals how corporate CRM activities can influence organizational performance by integrating CRM process with customer equity drivers, which have been regarded as independent research areas. The results show that the customer equity drivers including value, brand, and relationship equity mediate between CRM processes and organizational performance. In more detail, customer acquisition, retention, and expansion have positive relationships with brand, relationship, and value equity, respectively. Moreover, even though all customer equity drivers influence organizational performance positively, our analysis suggests that relationship equity has the strongest effect on it.