• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.171-178
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• 2009

Recently, a combination of Business Process Management (BPM) and Service Oriented Architecture (SOA) is being recommended as the best approach for automating large business systems. And the need to create meaningful information from daily operational data is increased today. In this paper, we propose a methodology for automating business processes based on the BPM-SOA convergence trend and verify the methodology by implementing the project management business process. BPM-SOA convergence provides higher extensibility and productivity due to the loosely coupled system construction and maintenance. The system has good properties for frequent process changes and reuse of duplicate processes. We then analyze extensibility of the system as new business processes are added to the existing system. We finally analyze the data generated by BPM by using SAP business intelligence to support management's decision making and strategy. Business intelligence provides not only useful data for business decisions but also chance to optimize the business processes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2256-2262
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• 2010

The requirements for automated handing of business process and its monitoring usually have a proprietary form for each enterprise. Unlike the conventional database transaction, business process takes long time for its completion and incorporates very complex handling logics along with business situations. Since those handling logics are frequently changing in accordance with the business policies or environment, enterprises want to integrally capture the whole business semantics while monitoring those process instances. In this paper, we adopted GMA(Grid Monitoring Architecture) for the integrated monitoring of business processes. The GMA(Grid Monitoring Architecture) is a very scalable architecture to effectively monitor and manage monitoring information under the heterogeneous environment. By introducing complex event handling features into GMA to support various processing logics, we could implement a system that enables automated execution and high-level monitoring of business processes.

• The Journal of Korea Robotics Society
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• v.17 no.4
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• pp.387-396
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• 2022

Logistics industry still heavily relies on human labor in many field processes. However, robot applications in logistics are rapidly increasing, encouraged by technological progresses in robotics and cheaper robot solutions from competition between robot suppliers. Effectiveness of logistics automation are higher productivity for cost reduction and increased process capabilities for better profit, which is witnessed in many fields of logistics industry. In this paper, differences in logistics services - contract logistics, parcel, and fulfillment - are addressed, and characteristics and issues in application of various kinds of logistics robots such as AGV, AMR, ASRS, box/piece handling robots and robotic wearable devices are discussed. The advantages from flexibility and scalability of logistics automation by robots will benefit the future logistics business.

• 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 Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.199-208
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• 2009

Mosts of export/import cargo has been moving using maritime transport means. Korea had been driven the system automation project using EDI document since the mid-1990s. However, this automation system comes upon about 40-50% against overall maritime business process, manual or paper document processing work is existing as ever. International e-business environment also has changing into electronic form document transaction from paper document-based transaction. International standardization organization, UN/CEFACT proposed UNeDocs for paperless jtransaction. UNeDocs is a specification to define XML data model as well as electronic form. With UNeDocs, it is not necessary to generate the duplexed data, and it can support user convenient and guarantee the flexibility. This paper defines the UNeDocs data model for EDI and Off-Line processing at the current maritime business. Then, it have to check XML syntax and structure for the defined data model through quality of document check system. Also, it explains the applying plan about the defined UNeDocs data model. It is possible to support paperless transaction as defining UNeDocs-based standard data model and converting into paper document, XML and EDI document using UNeDocs data model.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

• Korean Journal of Computational Design and Engineering
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• v.9 no.4
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• pp.361-372
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• 2004

Collaborative and distributed engineering web services are emerging as a viable alternative to the traditional design and engineering process automation. Existing approaches have limitations in supporting long-running engineering transactions, automatic engineering process orchestration and choreography, synchronous and asynchronous conversation, and geometric abstraction for transmission and sharing. In this paper, we present a process-centric engineering web service methodology to overcome these limitations by utilizing BPEL-based (Business Process Execution Language) process templates and coordination broker-based conversation support. This paper discusses the synchronization of engineering web services which can be either peer-centric or process-centric to support long-running engineering transactions and conversation. The process orchestration and choreography broker works as a service dispatching and aggregation mediator for executing process templates, which enables the individual activity or the engineering process to dynamically select and invoke one of the alternative web services through the run-time process brokering. Further, the paper presents how to support collaboration over the running process using conversation policy.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.764-771
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• 2003

본 연구는 비즈니스 프로세스의 자동화된 실행 및 관련 데이터의 관리를 지원하는 BPMS (Busuiess Process Management System)를 위한 프로세스 실행 모델을 제안한다. BPMS의 효과적 개발을 위해서는 프로세스의 내용을 표현하는 프로세스 정의 모델이 필요함과 동시에. 네트워크 상에서 그것이 해석되고 실행되는 방식을 규정하기 위만 프로세스 실행 모델도 필요하다. 이는 프로세스에 관여되는 분산된 개체들간의 협력적 의사 소통을 효과적으로 지원할 수 있고, 이를 통해 시스템간의 상호운용성을 고양하고 프로세스 모델이 갖는 경직성을 극복할 수 있는 BPMS의 효과적 개발의 바탕이 될 수 있다.

• Information Systems Review
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• v.20 no.1
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• pp.81-98
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• 2018

ERP supports the automation and integration of business processes of enterprises and records voluminous data about the business activities of enterprises. The academe and business enterprises are focusing on process mining, which improves the performance of business processes and strengthens compliance. However, these studies focused on analysis of the business process of large companies, which adopts foreign ERP, such as SAP ERP or Oracle ERP. In comparison with foreign ERP, domestic ERP lags behind in terms of logging and managing of event data. Therefore, the application of process mining to domestic ERP is a challenging task. The present study aims to analyze domestic ERP based on process mining to overcome this challenge. This study discusses the lessons learned from a case study in a Korean cosmetics manufacturing company. Our results are expected to strengthen the competitiveness of Korean small and medium-sized enterprises that adopt domestic ERP and realize the outcomes of the large investment of the Korean government on the ERP implementation of enterprises.

• Journal of Information Technology and Architecture
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• v.9 no.1
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• pp.1-10
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• 2012

To promote process effectiveness and efficiency, it is necessary that port logistics employ automated equipments for handling containers. There exists a system for automatically managing the container flow, called Control Module. However, it has limitation to assign the execution order to the machine and monitor the container flow in real time process. Business process management (BPM) provides a suitable and effective framework to address this problem including controlling and monitoring the flow of each container. Since the nature of container handling process is different with the common process in BPM that is conducted by human performer, it is necessary to adjust the BPM framework in the domain of port logistic management. This study presents a BPM framework corresponds with both human-based and machine-based activity to enhance the efficiency of port process flow including container flow. This framework is introduced as an integrated approach and mechanism of BPM application into the container handling system for the purpose of port logistics process automation.