• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.181-194
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• 2008

Process mining aims at extracting useful information from system log of business process execution. As process-aware information systems, such as BPMS, ERP, and SCM, spread, researches on process mining get more significance. In this paper, we propose the methodology of clustering process log before process mining and also present the prototype system. The proposed methodology can be used in accompany with the existing process mining algorithms to improve their performance. The process log clustering system PROCLE, presented in this paper, supports to classify the process instances in the system log in order to extract the appropriate level of process model according to the users' need. The proposed methodology was implemented on the open platform for process mining, ProM.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.132-139
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• 2009

Yield is a very important measure that can expresses simply for productivity and performance of company. So, yield is used widely in many industries nowadays. With the development of the information technology and online based real-time process monitoring technology, many industries operate the production lines that are developed into automation system. In these production lines, the product structures are very complexity and variety. So, there are many multi-variate processes that need to be monitored with many quality characteristics and associated process variables at the same time. These situations have made it possible to obtain super-large manufacturing process data sets. However, there are many difficulties with finding the cause of process variation or useful information in the high capacity database. In order to solve this problem, neural networks technique is a favorite technique that predicts the yield of process for process control. This paper uses a neural networks technique for improvement and maintenance of yield in manufacturing process. The purpose of this paper is to model the prediction of a sub process that has much effect to improve yields in total manufacturing process and the prediction of adjustment values of this sub process. These informations feedback into the process and the process is adjusted. Also, we show that the proposed model is useful to the manufacturing process through the case study.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.224-230
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• 2005

In order to realize a three-dimensional shape on CAD, the machining process has been widely used because it offers practical advantages such as precision and versatility. However, the traditional machining process needs a large amount of time in cutting a product and the remained material causes trouble such as inconvenience due to cleaning process. This paper introduces a new rapid manufacturing process called Rapid Heat Ablation process (RHA) using the rotary hot tool to overcome limitations of traditional machining process. The rotary hot tool to satisfy requirements of RHA process is designed and produced. In order to examine relationships between kerfwidth and process parameters such as heat input, speed of tool and speed of revolution, experiments were carried out. In addition, relationship between the kerfwidth and the effective heat input was obtained. Based on the experimental results, double-curved shape was ablated to show the validity of proposed process. In the procedure, the rough cut and fine cut were performed according to the conditions of process parameters without tool change process. The practicality and effectiveness of the proposed process have been verified through ablation of three-dimensional shape.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.106-114
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• 2019

Recently, the manufacturing process system in the industrial field has become more and more complex and has been influenced by many and various factors. Moreover, these factors have the dependent correlation rather than independent of each other. Therefore, the statistical analysis has been extended from the univariate method to the multivariate method. The process capability indices have been widely used as statistical tools to assess the manufacturing process performance. Especially, the multivariate process indices need to be enhanced with more useful information and extensive application in the recent industrial fields. The various multivariate process capability indices have been studying by many researchers in recent years. Hence, the purpose of the study is to compare the useful and various multivariate process capability indices through the simulation. Among them, we compare the useful models of several multivariate process capability indices such as $MC_{pm}$, $MC^+_{pm}$ and $MC_{pl}$. These multivariate process capability indices are incorporates both the process variation and the process deviation from target or consider the expected loss caused by the process deviation from target. Through the computational examples, we compare these process capability indices and discuss their usefulness and effectiveness.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.279-288
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• 2007

Attempts to achieve a higher productivity have led studies to focus on process improvement. Information has been found as an essential element for process improvement. This research has introduced and focused on two types of information, namely: related jobsite information along the process and feedback information. Related jobsite information along the process which needs to be processed and delivered in a timely manner, accurate, and real time is required to streamline the decision making process. Whereas feedback information about process' current practices which have to be captured and stored is a useful for continuous improvement in identifying the problem origin and determining corrective action. In the current practices, although these two types of information are essential for process improvement, construction process has faced barriers in obtaining that information. Therefore, this research will propose a new information system to overcome the aforementioned barriers. The new information system consists of RFID as an automatic identification and data collection device integrated with database to support construction processes. The new system attempts to provide related jobsite information along the process and feedback information to support decision making process and continuous process improvement respectively. A case study of prefabrication installation process in housing projects has been selected to be implemented in conceptual model of RFID application in construction industry. Conceptual model will be presented in this paper as an initial stage of this ongoing research. Expected outcomes of the new system and future works will be discussed briefly.

• Journal of dental hygiene science
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• v.11 no.3
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• pp.135-154
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• 2011

Dental hygiene was originated from dentistry and dental hygiene knowledge was a component of dental knowledge body. Since the late 1980s dental hygiene theory was began to develop. Nursing theories such as metaparadigm, nursing process and human need theory affected theory development as dental hygiene process. Dental hygiene process provides a framework for high quality dental hygiene care. Dental hygiene process include five phases; assessment, dental hygiene diagnosis, dental hygiene planning, implementation, evaluation. Dental hygiene process of care is recognized as standard for dental hygiene education and clinical dental hygiene practice. Dental hygiene practice has moved from auxiliary model to professional model. Critical thinking skill and disposition are necessary to provide evidence-based dental hygiene care using dental hygiene process as clinical process and critical thinking process. Critical thinking, problem solving and evidence-based practice must be integrated into dental hygiene process for quality dental hygiene care.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.3
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• pp.175-190
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• 1997

Organizational change projects such as Business Process Redisign (BPR) have been perceived to incur high risk due to their high management complexity, enterprise-wide impace, and steep project cost. This research intends to reduce such risk by developing a systematic process redesign methods, called Dynamic Process Modeling (DPM) method. DPM integrates the customer-oriented business process modeling technique with computerized visual simulation technique to promote better understanding of the target process and enable performance simulation of the proposed redesign alternatives prior to actual BPR implementations. For the cusstomer-oriented process modeling, we propose Dynamic-Event Process Chain (Dynamic-EPC) extending from the conceptual customer process model, Event-Process Chain (EPC). We compare DPM with four other implementation-level process modeling methods over eight criteria and demonstrate its effectiveness by applying it to the real-world hospital BPR case.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1364-1367
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• 1996

Recently, direct rolling process, called as strip casting process, has been interested in to save production cost by reducing forming processes. In direct rolling process, since a steel strip of thickness 1-5(mm) can be produced directly from molten metal, it can eliminate secondary hot rolling process. On the other hand, since many process variables are existed in this process and relation of these variables is very complex, it is difficult to realize the process design and the quality control. In this paper, as first step to overcome above difficulties, the quantitative relationship of the process variables affected to quality of the strip has been carried out through the numerical analysis. Also, we determined the process variable to monitor the quality in the direct rolling process. As a result, we show that the solidification final point, called as Nip point, was related directly to quality of the strip.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.59-67
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• 2006

If apply BPM that is a business process management tool to SCM sector, efficient process management and control are available. Also, BPM can execute integrating process that compose SCM effectively. These access method does to manage progress process of SCM process more efficiently and do monitoring. Also, It is can be establish plan about improvement of process analyzing process achievement result. Thus, in this paper, introduce this BPM into SCM environment. Also, SCM process presents plan that executes integration and improves business process effectively applying data mining technique.

• International Commerce and Information Review
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• v.9 no.1
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• pp.99-117
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• 2007

The purpose of this study is to explore the application sphere of BPM(Business Process Management) to e-trade process using BPM technology and its service architecture in order to expand the usage of e-trade platform which is developing. After close reviewing the current status of trade process, the possibility of BPM application by e-trade process will be analyzed. The result of analysis is that BPM application to local L/C and purchasing confirmation process could be implemented because those processes are very suitable to apply standardized process and can minimize the risk and confusion of users. BPM application to remaining trade process have to be considered by mid-term and long-term project with the reflection of pilot project performance. Also this study suggests a business management model of e-trade process based on BPM technology which is the new IT technology and integrated interface in view of trade community.