• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.226-234
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• 2006

기업 활동의 근간을 이루는 비즈니스 프로세스들을 투명하게 관리하고 통제하기 위해 국내외 많은 기업들이 비즈니스 프로세스 관리(BPM: Business Process Management) 시스템을 도입하고 있다. 본 논문에서는 프로세스 모델링 및 표기법 측면에서 BPMN(Business Process Modeling and Notation), 프로세스 실행과 운영 측면에서 BPEL(Business Process Execution Language), 모니터링과 통제 측면에서 BPQL(Business Process Query Language)을 표준의 개요와 표준화 현황을 제시하였다. 또한, BPM 솔루션 공급업체들의 유형을 분류해 보고, 각 공급업체 유형별 장단점 분석을 기초로 BPM 표준을 자사 솔루션 개발에 적용하고자 하는 기업들에게 유용한 표준 도입 전략을 제시하였다.

• IE interfaces
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• v.16 no.spc
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• pp.49-54
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• 2003

In e-business environment, business processes inevitably get more entangled and entail collaboration between distributed and heterogeneous platforms that are not easy to manage. Therefore, systematic and automated management of business process execution has drawn a great concern among companies that necessitate collaborative business processes. The concept of workflow inheritance enables abstraction, polymorphism and reusability of processes, and therefore contributes to extending and executing the processes effectively. We analyze various types of interoperation between business processes, and identify 6 primitive interoperability patterns. We propose a method for extensible collaborative process composition using workflow inheritance and provide collaborative workflow between business processes using web services.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.85-92
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• 2019

In this paper, we extract the quantitative relation data of activities from the workflow event log file recorded in the XES standard format and connect them to rediscover the workflow process model. Extract the workflow process patterns and proportions with the rediscovered model. There are four types of control-flow elements that should be used to extract workflow process patterns and portions with log files: linear (sequential) routing, disjunctive (selective) routing, conjunctive (parallel) routing, and iterative routing patterns. In this paper, we focus on four of the factors, disjunctive routing, and conjunctive path. A framework implemented by the authors' research group extracts and arranges the activity data from the log and converts the iteration of duplicate relationships into a quantitative value. Also, for accurate analysis, a parallel process is recorded in the log file based on execution time, and algorithms for finding and eliminating information distortion are designed and implemented. With these refined data, we rediscover the workflow process model following the relationship between the activities. This series of experiments are conducted using the Large Bank Transaction Process Model provided by 4TU and visualizes the experiment process and results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2038-2047
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• 2011

This paper presents a framework for production planning for a Slim MES(Manufacturing Execution System) of module operations in TFT-LCD(Thin Film Transistor-Liquid Crystal Display) production lines. There are differences in the line configurations and functions among the module operations in the TFT-LCD production systems. This paper presents the framework for the customized MES reflecting these differences. First, a production process is figured out through the analysis of the TFT-LCD module operations. Next, a mathematical modeling is presented reflecting the constraints of shop floors and an optimal schedule is presented through a case example. And a scheduling process using the dispatching rules reflecting the status of shop floors is presented and the performances are measured and compared. Finally, a design process for the Slim MES framework is presented.

• The KIPS Transactions:PartC
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• v.12C no.7 s.103
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• pp.1015-1024
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• 2005

A delegation of privileges is one of important processes that empower authority to relevant node to process job that user wants in large-stale distributed environment such as Grid Computing. However, existing delegation methods do not give suitable privilege about Job, and do not atomize range of delegation and exists delegation of access privilege for only resources itself that is not delegation about executing process of job itself. Also, they do not apply about process that needs delegation before and after. execution of job such as reservation of system resources or host access before and after execution. Therefore, this paper proposes a method and specification for restricted delegation in distributed environment. Proposed method separates delegation for job side and privilege side, and express specification and procedure of delegation using XML schema and UML and present restricted delegation scenario in distributed computing environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.12-22
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• 2021

This article suggests the machine learning model, i.e., classifier, for predicting the production quality of free-machining 303-series stainless steel(STS303) small rolling wire rods according to the operating condition of the manufacturing process. For the development of the classifier, manufacturing data for 37 operating variables were collected from the manufacturing execution system(MES) of Company S, and the 12 types of derived variables were generated based on literature review and interviews with field experts. This research was performed with data preprocessing, exploratory data analysis, feature selection, machine learning modeling, and the evaluation of alternative models. In the preprocessing stage, missing values and outliers are removed, and oversampling using SMOTE(Synthetic oversampling technique) to resolve data imbalance. Features are selected by variable importance of LASSO(Least absolute shrinkage and selection operator) regression, extreme gradient boosting(XGBoost), and random forest models. Finally, logistic regression, support vector machine(SVM), random forest, and XGBoost are developed as a classifier to predict the adequate or defective products with new operating conditions. The optimal hyper-parameters for each model are investigated by the grid search and random search methods based on k-fold cross-validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with an accuracy of 0.9929, specificity of 0.9372, F₁-score of 0.9963, and logarithmic loss of 0.0209. The classifier developed in this study is expected to improve productivity by enabling effective management of the manufacturing process for the STS303 small rolling wire rods.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.379-384
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current monitoring process of business activities decides whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Also, warnings are applied by carrying out the measuring process when the event attribute values are inserted at every point. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be ed. Also, since it is difficult to expand the range of problems which can be possibly evaluated, it is impossible to evaluate any unexpected situation which could occur in the execution period. In this paper, a process-evaluating model based on the goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the goal scenario for the process activities. Also, by using the meta-heuristic algorithm, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5389-5396
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• 2012

In this paper, an optimized residual data decoder architecture is proposed to improve the performance in H.264/AVC. The proposed architecture is an integrated architecture that combined parallel inverse transform architecture and parallel inverse quantization architecture with common operation units applied new inverse quantization equations. The equations without division operation can reduce execution time and quantity of operation for inverse quantization process. The common operation unit uses multiplier and left shifter for the equations. The inverse quantization architecture with four common operation units can reduce execution cycle of inverse quantization to one cycle. The inverse transform architecture consists of eight inverse transform operation units. Therefore, the architecture can reduce the execution cycle of inverse transform to one cycle. Because inverse quantization operation and inverse transform operation are concurrency, the execution cycle of inverse transform and inverse quantization operation for one $4{\times}4$ block is one cycle. The proposed architecture is synthesized using Magnachip 0.18um CMOS technology. The gate count and the critical path delay of the architecture are 21.9k and 5.5ns, respectively. The throughput of the architecture can achieve 2.89Gpixels/sec at the maximum clock frequency of 181MHz. As the result of measuring the performance of the proposed architecture using the extracted data from JM 9.4, the execution cycle of the proposed architecture is about 88.5% less than that of the existing designs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.126-134
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• 2019

Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.

• 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.