• International conference on construction engineering and project management
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• 2022.06a
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• pp.823-830
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• 2022

The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

• Korean Journal of Computational Design and Engineering
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• v.16 no.6
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• pp.414-423
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• 2011

The collaboration hub has been developed since 2004 as an online collaboration space, which supports the various collaborative works amongst small and medium enterprises using information sharing, collaboration project management, and project history management. Because of the change of manufacturing environment and rapid development of information technologies, it should be evolved from the existing version called Collaboration Hub 1.0. Recently, a lot of manufacturing enterprises know the importance of business process management(BPM) and start to introduce BPM systems. Our research group has developed the new version of Collaboration Hub 1.0 called Collaboration Hub 2.0 which contains the BPM concept, the consistent product data management, and the specialized functions overcoming the various variation of manufacturing. This study scrutinizes the meaning and role of the Collaboration Hub 2.0 and introduces an application study of it to the value chain of automobile module development consisted of a leading company and subcontractors. The case study covers the definition, execution and monitoring of collaboration process, the specialized functions overcoming the manufacturing variation and the key performance index of collaboration business.

• Journal of the Korean Society of Systems Engineering
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• v.5 no.2
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• pp.27-34
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• 2009

This paper analyze technical review entry criteria and review process based on system property, and review checklist to conform technical review is also showed. The execution of review is determined according to the preparation of review item and identification for risk element. Risk level should be mitigated before technical review by appropriate plan. This paper described the entering condition of technical review for developmental phase, and tailoring consideration for technical review condition. Described technical review entry criteria, review process, and tailoring consideration is applied to development of test equipment for ground ant-air missile system. Applied system specific technical review process, tailored entry condition for test equipment for ground ant-air missile system and review check list is showed and the effectiveness of described system specific technical review process is presented.

• ETRI Journal
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• v.29 no.4
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• pp.477-488
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• 2007

In recent years, numerous studies have identified and explored issues related to web-service-oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross-cutting concern that should be distinguished from business process instances. In this paper, we present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language-based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open-source-based products, the Mandarax rules engine and Bexee BPEL engine.

• Special Issue of the Society of Naval Architects of Korea
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• 2007.09a
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• pp.57-67
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• 2007

As the competition among commercial shipyards gets more intense and the number of ships to be designed is increasing significantly, the state is that engineering work volume has increased proportionately. Under these conditions, various attempts have been tried to improve performance in design activities and it has come to a vital issue as to how the design process should be managed and conducted in more efficient manner. To achieve this goal, an engineering process management system has been developed, named 'DSME Engineering Wizard System'. It aims to accelerate process performance by managing execution, promoting collaboration and maximizing engineering data reusability based on workflow concept. For the application of this system, Marketing Design which is one of the major processes for commercial ship design was analyzed and established into a unique workflow template consisting of activities, getting design experiences organized into a best practice in which engineering tasks are performed in the way proven most efficient.

• Journal of the Korean housing association
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• v.22 no.3
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• pp.47-57
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• 2011

The purpose of this research consists in the process analysis and studying of the Residents-Participated Workshop which aims to improve the environment of common areas at the rental apartments, and also to present the spacial designs for the improved environment. The objects of this research are Susojugong Rental Apartments and total 3 Residents-Participated Workshops were held. The contents of the research are as follows; 1) Background and purposes of resident environmental improvement and associated group of people were examined. 2) Execution of Residents-Participated Workshop programs and the analysis of the process to present the plans of environmental improvement. The results of the research are; 1) representing variety of opinions and the increased sense of participation. 2) possibility of presenting designs initiated by residents through participatory design workshop. 3) improvement of relationships between managerial authorities, specialists and residents. 4) the place of interchange among residents. 5) necessity of assisting workshop tool, Resident-Participated Workshop programs and schedules. Environmentally improved designs which were presented at the workshop have been actually demonstrated at the Rental Apartments of this research. Follow up research on the process of construction, maintenance management of the construction after completion and the full contents should be studied further.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.536-564
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• 2019

Soft faults are inherent in wireless sensor networks (WSNs) due to external and internal errors. The failure of processes in a protocol stack are caused by errors on various layers. In this work, impact of errors and channel misbehavior on process execution is investigated to provide an error classification mechanism. Considering implementation of WSN protocol stack, inter-process correlations of stacked and peer layer processes are modeled. The proposed model is realized through local and global decision trees for fault diagnosis. A hybrid framework is proposed to implement local decision tree on sensor nodes and global decision tree on diagnostic cluster head. Local decision tree is employed to diagnose critical failures due to errors in stacked processes at node level. Global decision tree, diagnoses critical failures due to errors in peer layer processes at network level. The proposed model has been analyzed using fault tree analysis. The framework implementation has been done in Castalia. Simulation results validate the inter-process correlation model-based fault diagnosis. The hybrid framework distributes processing load on sensor nodes and diagnostic cluster head in a decentralized way, reducing communication overhead.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.51-66
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• 2023

In this paper, we propose a new type of process discovery framework, which is named as control-path-driven process group discovery framework, to be used for process mining and process reengineering in supporting life-cycle management of business process models. In addition, we develop a process mining system based on the proposed framework and perform experimental verification through it. The process execution event logs applied to the experimental effectiveness and verification are specially defined as Process BIG-Logs, and we use it as the input datasets for the proposed discovery framework. As an eventual goal of this paper, we design and implement a control path-driven process group discovery algorithm and framework that is improved from the ρ-algorithm, and we try to verify the functional correctness of the proposed algorithm and framework by using the implemented system with a BIG-Log dataset. Note that all the process mining algorithm, framework, and system developed in this paper are based on the structural information control net process modeling methodology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.183-193
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• 2019

Process mining is an analytical technique aimed at obtaining useful information about a process by extracting a process model from events log. However, most existing process models are deterministic because they do not include stochastic elements such as the occurrence probabilities or execution times of activities. Therefore, available information is limited, resulting in the limitations on analyzing and understanding the process. Furthermore, it is also important to develop an efficient methodology to discover the process model. Although genetic process mining algorithm is one of the methods that can handle data with noises, it has a limitation of large computation time when it is applied to data with large capacity. To resolve these issues, in this paper, we define a stochastic process tree and propose a tabu search-genetic process mining (TS-GPM) algorithm for a stochastic process tree. Specifically, we define a two-dimensional array as a chromosome to represent a stochastic process tree, fitness function, a procedure for generating stochastic process tree and a model trace as a string of activities generated from the process tree. Furthermore, by storing and comparing model traces with low fitness values in the tabu list, we can prevent duplicated searches for process trees with low fitness value being performed. In order to verify the performance of the proposed algorithm, we performed a numerical experiment by using two kinds of event log data used in the previous research. The results showed that the suggested TS-GPM algorithm outperformed the GPM algorithm in terms of fitness and computation time.

• Journal of The Korean Association For Science Education
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• v.39 no.6
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• pp.695-706
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• 2019

This study conducted a case study on the process-centered evaluation competency of a middle-school/high-school science teacher using Teacher's Process-centered Evaluation Competency (T-PEC) measurement tool. The case analysis shows that teacher A in a middle school represents high competency of process-centered evaluation planning and cooperative communication while the competency of utilizing process-centered evaluation results is low owing to the characteristics of non-standardized areas. Teacher B in a high school shows high level of cooperative communication competency whereas low level of process-centered evaluation execution competency because the freedom given to students is not enough during the process of evaluation. The teacher also shows very low level of utilizing process-centered evaluation results due to the lack of time and the school culture not giving feedback to the students. According to cross-case analysis, teacher A and B both represent the highest level of collaborative communication competency and the lowest level of utilization process-centered evaluation results competency. And the lack of clear criteria for process-centered evaluation leads to different understanding of process-centered evaluation between the two teachers, and teacher B shows low the level of utilizing process-centered evaluation affects results due to the students not being concerned on feedback, security problem, and the reality focusing on the university entrance examination in high schools. Based on the results, this study suggests providing clear guidelines of process-centered evaluation to teachers, introducing an application in order to solve the time-lack problem pointed out as the biggest problem of process-centered evaluation, ensuring objectivity and security about process-centered evaluation results, and building the school culture such as the expanded application of standardized areas in order to implementing process-centered evaluation.