BPM Lab.

Mission of BPM Lab : Towards Business & Operational Excellence #

Business Process Management (BPM) plays a critical role of bridging the divide between business and information technology. BPM aims at enhancing business performance by integrating business activities in value chain, which are generally performed with enterprise information systems, such as ERP, SCM, and CRM.
BPM Laboratory conducts research on developing and implementing business innovation techniques for operational excellence on the basis of business process modeling and analysis techniques in a variety of business area such as e-Biz (electronic business), i-Biz (internet business), and u-Biz (ubiquitous business). We envision the next generation of business process management which can embrace the future technologies, Big Data, Social Network Analysis, and the Internet of Things.

The topics of BPM Laboratory can be visualized as the following word cloud:
wordcloud.jpg

  • Business Process Management
    BPM is a strategy for managing and improving the performance of business executions through continuous optimization of business processes in a closed-loop cycle of modeling, execution and measurement.
    [http]BPM Stuffs(http://bpm.khu.ac.kr/wiki/wiki.php/BPM)
    [http]Process Mining(http://bpm.khu.ac.kr/wiki/wiki.php/ProM)
    [http]Colored Petri-Net(http://bpm.khu.ac.kr/wiki/wiki.php/CPN)

  • Process Mining
    Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains (IEEE TFoPM, 2011). [http]http://www.win.tue.nl/ieeetfpm
    pm_en.jpg pm_kr.jpg pm_book.jpg pm_book_kr_new.jpg

  • Business Intelligence and Analytics (BIA)
    Business performance management is crucial in business process management. For example, BSC (balanced score card) can be used for a major tool of monitoring and assessing the business performance. Business intelligence (BI) is the technique for business performance monitoring and assessment, while business analytics (BA) is the technique for finding out the solution for continuous improvement in business process.

  • Social Media Analytics (SMA)
    The Social Web (also known as Web 2.0) is a trend in web design, development and management. It can refer to a perceived second generation of web-based communities and hosted services, such as social-networking sites, wikis, and folksonomies, which aim to facilitate creativity, collaboration, and sharing between users.

  • Internet of Things Analytics (IoTA)
    The Internet of Things is expected to drive the next IT innovation in both of business service and human life. In particular, RFID and sensors will be adopted to support real-time supply chains and logistics in business environments.

    • Ongoing Research Projects #

    Artificial Intelligence for Abnormal Situation Management in Nuclear Power Plants #

    • sponsored by NRF (National Research Foundation, 한국연구재단)
    • 2016.11-2019.10
    • Full title : Development of Artificial Intelligence and Open Test-bed for Automation of Abnormal Situations in Nuclear Power Plants
    • Overview : The purpose of this research is to judge the proper operating procedure and develop the automatic operation algorithm for nuclear power plants, prove its effectiveness in conjunction with simulation model, and develop the shared platform which can be used for further development and comparison with objective metrics when multiple abnormal situations occur.
    • Keywords : artificial intelligence, autonomous operating, nuclear power plants

    Product Design Support System Using Cognitive and Emotional Databases #

    • sponsored by MOTIE (산업통상자원부), collaborating with Yonsei University and Soongsil University
    • 2015.12~2018.11
    • Overview : Recently, product design is becoming more important to increase the competitiveness in their market. Although cognition and emotion are one of critical factors in product design, small and medium-sized enterprises have difficulty in reflecting and assessing the aspects of cognition and emotion by themselves. To deal with this problem, this research project is developing the product design support systems by incorporating the congnitive and emotional database. In this project, our team plays a role of developing the semantic web-based database to store the congnitive and emotional data.
    • Keywords : product design, user experience (UX), semantic web, database design

    Smart Factory Applications for Big Data in Manufacturing #

    • sponsored by MOTIE (산업통상자원부), collaborating with KITECH, POSTECH, ECMiner, and JihooSoft
    • 2015.7~2018.6
    • Overview : Smart factory means the advanced manufacturing environment in production and operations by embracing information technologies such as the Internet of Things (IoT), the cloud, big data analytics and cyber-physical systems. In the smart factory of the future, the convergence of information technology and factory automation pursues the advanced manufacturing in most activities such as demand forecasting, production planning and control, scheduling, inventory and logistics management. We are developing smart factory systems and applications based on big manufacturing data, collaborating with KITECH and ECMiner. For example, several models for production quality analysis, such as classification models, prediction models, factor analysis, and pattern discovery, are being developed and implemented in form of a manufacturing data mining library.
    • Keywords : smart factory, Industry 4.0, manufacturing data analytics, data mining library, IoT

    Reality Mining for Regional Big Data #

    • sponsored by NRF (National Research Foundation, 한국연구재단)
    • 2013.6~2016.5
    • Full title : Development of Reality Mining Models and Systems from Regional Big Data for Comprehension of Individual and Social Behaviors
    • Overview : In this research, we aim at developing reality mining models to understand individual's life and social mobility behaviors by analyzing regional big data. Traditional approaches of social science intended to interpret macro social behaviors through statistical analysis, while the new approach of data science enables computational social science by analyzing raw big data related to human behaviors and understanding macro social behaviors. In this research, for the purpose of investigating location-based data, we will perform interdisciplinary studies by combining a variety of accessible open data to comprehend social phenomena.
    • Keywords : big data analytics, computational social science, spatio-temporal data analysis, geographical information science
    • Details : MZP

      2_seoul_subway.jpg seoul_subway2.jpg seoul_conven3.jpg
      <Raw public transp. data in Seoul> <Discovered movement patterns in Seoul> <Convenience map in Seoul>

    News of BPM Lab. (since 2013) #

    2016.11.25 한국빅데이터학회 추계학술대회 최우수논문상 수상(박훈석,오규협,김영진,정재윤)
    kbigdata2017.jpg
    2016.6.13-18 핀란드 헬싱키 AGILE 2016에 논문 발표(오규협) 및 참석(김애경,교수님)
    2016.5.27-30 일본 오사카 BESSH 2016에 논문 발표(오규협,김애경,박훈석) 및 참석(교수님)
    2016.4.13-16 제주도 대한산업공학회 통합학술대회 발표(Josue, Berny) 및 참석(오규협,김애경,박훈석,윤나영,정영윤,교수님)
    2016.3.2 박훈석 석사과정 신입학 및 4학기 전액장학생 선정(이공계우수장학)
    2016.1.18-22 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
    2015.11.13 건국대 한국EA학회 학술대회 발표 및 우수논문상 수상(허광진)
    2015.11.7 연세대 대한산업공학회 추계학술대회 제11회석사논문경진대회 기타분야 최우수상 수상(문현구) 및 발표 (최서현)
    2015.7.30-8.29 벨기에 KU Leuven대학교 LIRIS팀 방문 장기공동연구 수행(김애경,Josue)
    2015.6.25 AP-BPM 2015 Process Mining Competition에서 Grand Award(Josue,Berny) 및 Second-Prize Award(최서현) 수상
    2015.6.24 부산 Bexco에서 열린 AP-BPM 2015에 참석 및 논문 발표 (Josue, 이진성, 교수님)
    2015.7.30-8.29 벨기에 KU Leuven대학교 LIRIS팀 방문 장기공동연구 수행(김애경,Josue)
    2015.4.12-14 미국 헌팅턴비치 INFORMS Analytics 2015 포스터 발표(이진성,오규협,최서현) 및 참석(허광진,교수님)
    2014.11.28 서울 2014 한국EA학회 발표 및 참석(오규협)
    2014.11.12 수원 대한산업공학회 추계학술대회 제10회석사논문경진대회 MIS분야 최우수상 수상(Josue Obregon) 및 발표 (문현구, 이진성)
    2014.10.9-14 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
    belgium1.jpg belgium2.jpg
    2014.9.1 허광진 석사과정 입학(학석사연계과정)
    2014.8.24-30 BPMLab 연구팀이 벨기에 KU Lueven 대학교 LIRIS팀을 방문하여 연구교류 진행(김애경, Josue, 교수님)
    2014.3.2 최서현 석사과정 입학(예약입학)
    2014.2.20 김관호 박사 인천대학교 산업경영공학과 조교수 임용
    2013.12.5 서울 2013 한국EA학회 발표 및 참석(오규협)
    2013.11.15 수원 대한산업공학회 추계학술대회 제9회석사논문경진대회 MIS분야 우수상 수상(마황현), 대학생 프로젝트 경진대회 장려상 수상(최서현, 허광진)
    2013.8.26-30 BPM/AP-BPM 2013 in Beijing 발표(Josue,김애경,교수님). AP-BPM2013 Best Paper Award 수상.
    bpm2013_3.jpg apbpm2013.jpg
    2013.7.26-27 하계MT-영종도 을왕리해수욕장(정지환,이진성,오규협,김애경,Berny,Josue,문현구,최서현,허광진,교수님)
    2013.5.31 한국전자거래학회 춘계학술대회 발표 및 우수논문상 수상(김관호,오규협)
    2013.5.24-2013.5.25 여수 한국경영과학회/대한산업공학회 발표 및 참석(김애경)
    2013.1.30-2013.2.1 용평 한국통신학회 발표(안윤하,최서현) 및 참석(김규리,이진성,김애경,Berny,Josue,교수님)

    [http] History of BPM Lab. (before 2013)(http://bpm.khu.ac.kr/wiki/wiki.php/History)
    Retrieved from http://iai.khu.ac.kr/wiki/wiki.php/BPM Lab.
    last modified 2020-06-30 00:34:41