Asia Pacific Business Process Management: First Asia Pacific Conference, AP-BPM 2013, Beijing, China, August 29-30, 2013. Selected Papers PDF
Preview Asia Pacific Business Process Management: First Asia Pacific Conference, AP-BPM 2013, Beijing, China, August 29-30, 2013. Selected Papers
Minseok Song Moe Thandar Wynn Jianxun Liu (Eds.) Asia Pacific Business Process 9 5 1 P Management I B N L First Asia Pacific Conference, AP-BPM 2013 Beijing, China, August 2013 Selected Papers 123 Lecture Notes in Business Information Processing 159 SeriesEditors WilvanderAalst EindhovenTechnicalUniversity,TheNetherlands JohnMylopoulos UniversityofTrento,Italy MichaelRosemann QueenslandUniversityofTechnology,Brisbane,Qld,Australia MichaelJ.Shaw UniversityofIllinois,Urbana-Champaign,IL,USA ClemensSzyperski MicrosoftResearch,Redmond,WA,USA Minseok Song Moe Thandar Wynn Jianxun Liu (Eds.) Asia Pacific Business Process Management First Asia Pacific Conference, AP-BPM 2013 Beijing, China, August 29-30, 2013 Selected Papers 1 3 VolumeEditors MinseokSong UlsanNationalInstituteofScienceandTechnology SchoolofTechnolgyManagement Ulsan,SouthKorea E-mail:[email protected] MoeThandarWynn QueenslandUniversityofTechnology InformationSystemsSchool Brisbane,OLD,Australia E-mail:[email protected] JianxunLiu HunanUniversityofScienceandTechnology SchoolofComputerScienceandEngineering Xiangtan,China E-mail:[email protected] ISSN1865-1348 e-ISSN1865-1356 ISBN978-3-319-02921-4 e-ISBN978-3-319-02922-1 DOI10.1007/978-3-319-02922-1 SpringerChamHeidelbergNewYorkDordrechtLondon LibraryofCongressControlNumber:2013951177 ©SpringerInternationalPublishingSwitzerland2013 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection withreviewsorscholarlyanalysisormaterialsuppliedspecificallyforthepurposeofbeingenteredand executedonacomputersystem,forexclusiveusebythepurchaserofthework.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheCopyrightLawofthePublisher’slocation, inistcurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Permissionsforuse maybeobtainedthroughRightsLinkattheCopyrightClearanceCenter.Violationsareliabletoprosecution undertherespectiveCopyrightLaw. 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Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface These proceedings contain the final versions of papers for the inaugural Asia- PacificConferenceonBusiness ProcessManagement(AP-BPM)2013thattook placeinBeijing,China.AP-BPM2013wasthefirsteditionoftheconferencefor researchersandpractitionersinthefieldofbusinessprocessmanagement(BPM) in the region. Its purpose is to provide a high-quality forum for researchers and practitioners to exchange research findings and ideas on BPM technologies and practices that are highly relevant to the Asia-Pacific region. Through this conference,weaimtosetupabridgebetweenactualindustrialrequirementsand leading-edge research outcomes for the growth of the economic rising powers of the Asia-Pacific region. More information on AP-BPM conference can be found on the website: http://www.ap-bpm.org This year we had 19 submissions from seven countries (Australia, China, Guatemala, Indonesia, Italy, South Korea, Taiwan). Following an extensive re- view process by an international Program Committee, eight papers (seven full papers and one short paper) were accepted for publication in these proceedings and presentation at the conference. In addition to the regular presentations, a keynote speech was delivered by Prof. Wil van der Aalst and the keynote paper is also included in the proceedings. We would like to thank the authors for their submissions to the conference and Prof. Wil van der Aalst for his excellent keynote. We also would like to express our gratitude to Program Committee members and paper reviewers, and acknowledgethe support of the Steering Committee. Finally, we would like to thank Lijie Wen for chairing the Organizing Committee. August 2013 Minseok Song Moe Thandar Wynn Jianxun Liu Conference Organization Honorary Chair Jiaguang Sun Tsinghua University, China General Chair Jianmin Wang Tsinghua University, China International Advisory Committee Arthur ter Hofstede QueenslandUniversityofTechnology,Australia Hyerim Bae Pusan National University, Korea Jianmin Wang Tsinghua University, China Pingyu Hsu National Central University, Taiwan Budi Santosa ITS, Indonesia Steering Committee Honorary Chair Arthur ter Hofstede QueenslandUniversityofTechnology,Australia Executive Chair Hyerim Bae Pusan National University, Korea Jianmin Wang Tsinghua University, China Program Chairs Minseok Song Ulsan National Institute of Science and Technology, Korea Moe Thandar Wynn QueenslandUniversityofTechnology,Australia Jianxun Liu Hunan University of Science and Technology, China Organization Chair Lijie Wen Tsinghua University, China Publicity Chair Yahui Lu Shenzhen University, China VIII Conference Organization Program Committee Saiful Akbar ITB, Indonesia Yudistira Dwi Wardhana Asnar ITB, Indonesia Joonsoo Bae Chonbuk National University, Korea Jian Cao Shanghai Jiao Tong University, China Namwook Cho Seoul National Univ. of Technology, Korea Lizhen Cui Shandong University, China ZaiwenFeng Wuhan University, China Yingbo Liu Tsinghua University, China Yahui Lu Shenzhen University, China Xiangpei Hu Dalian University of Technology, China Pingyu Hsu National Central University, Taiwan Jae-yoonJung Kyunghee University, Korea Dongsoo Kim Soongsil University, Korea KwanghoonKim Kyonggi University, Korea Minsoo Kim Pukyung National University, Korea Michiharu Kudo IBM Research, Japan Anto Satriyo Nugroho Center for Information & Communication Technology, Indonesia Chao Ou-Yang National Taiwan University of Science and Technology, Taiwan Chun Ouyang QueenslandUniversityofTechnology,Australia Punnamee Sachakamol Kasetsart University, Thailand Shazia Sadiq University of Queensland, Australia Budi Santosa ITS, Indonesia Riyanarto Sarno ITS, Indonesia Ricardo Seguel BPM LATAM, Chile Markus Stumptner University of South Australia, Australia Pablo David Villarreal National Technological University, Argentina Xuefeng Wang Harbin Institute of Technology, China Zhaoxia Wang Logistical Engineering University, China Lijie Wen Tsinghua University, China Yiping Wen Central South University, China Raymond Wong The University of New South Wales, Australia Jei-Zheng Wu Soochow University, Taiwan Bernardo N. Yahya UNIST, Korea Yang Yu Sun Yat-sen University, China Chongyi Yuan Peking University, China Haiping Zha Naval Armament Research Institute of PLA, China Li Zhang Tsinghua University, China Liang Zhang Fudan University, China Conference Organization IX Yang Zhang Beijing University of Posts and Telecommunications, China Lindu Zhao Southeast University, China Wen Zhao Peking University, China Table of Contents Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining .......................................... 1 Wil M.P. van der Aalst APQL: A Process-Model Query Language........................... 23 Arthur H.M. ter Hofstede, Chun Ouyang, Marcello La Rosa, Liang Song, Jianmin Wang, and Artem Polyvyanyy BPEL Similarity — A Metric Based on Activity Constraint Graphs .... 39 Jianchun Xing, Xuewei Zhang, Wei Song, Qiliang Yang, Jidong Ge, and Hongda Wang Process Model Storage Solutions: Proposition and Evaluation.......... 56 Jie Li, Lijie Wen, Jianmin Wang, and Zhiqiang Yan Clustering and Operation Analysis for Assembly Blocks Using Process Mining in Shipbuilding Industry ................................... 67 Dongha Lee, Jaehun Park, Iq Reviessay Pulshashi, and Hyerim Bae DTMiner: A Tool for Decision Making Based on Historical Process Data ........................................................... 81 Josue Obregon, Aekyung Kim, and Jae-Yoon Jung Process Discovery by Synthesizing Activity Proximity and User’s Domain Knowledge .............................................. 92 Bernardo Nugroho Yahya, Hyerim Bae, Sung-ook Sul, and Jei-Zheng Wu A Methodological Evaluation of Business Process Compliance Management Frameworks ......................................... 106 Mustafa Hashmi and Guido Governatori Improvement of Patient Safety in u-Hospital: A Pattern-Based Approach for Handling Patients’ Abnormal Situations ................ 116 Junho Moon and Dongsoo Kim Author Index.................................................. 121 Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining Wil M.P. van der Aalst Department of Mathematics and Computer Science, Eindhoven Universityof Technology, Eindhoven,The Netherlands Business Process Management Discipline, Queensland University of Technology, Brisbane, Australia and International Laboratory of Process-Aware Information Systems, National Research UniversityHigher School of Economics, Moscow, Russia [email protected] Abstract. Recent breakthroughs in process mining research make it possible to discover, analyze, and improve business processes based on event data. The growth of event data provides many opportunities but alsoimposesnewchallenges. Processminingistypicallydoneforaniso- lated well-defined process in steady-state. However, the boundaries of a processmaybefluidandthereisaneedtocontinuouslyvieweventdata from different angles. This paper proposes the notion of process cubes where events and process models are organized using different dimen- sions.Eachcellintheprocesscubecorrespondstoasetofeventsandcan be used to discover a process model, to check conformance with respect to some process model, or to discover bottlenecks. The idea is related tothewell-knownOLAP(OnlineAnalyticalProcessing)datacubesand associated operations such as slice, dice, roll-up, and drill-down. How- ever, there are also significant differences because of the process-related nature of event data. For example, process discovery based on events is incomparable to computing the average or sum over a set of numerical values.Moreover, dimensionsrelated toprocess instances (e.g. cases are splitintogoldandsilvercustomers),subprocesses(e.g.acquisitionversus delivery), organizational entities (e.g. backoffice versus frontoffice), and time (e.g., 2010, 2011, 2012, and 2013) are semantically different and it ischallengingtoslice,dice,roll-up,anddrill-downprocessminingresults efficiently. Keywords: OLAP,Process Mining,BigData,Process Discovery,Con- formance Checking. 1 Introduction Like most IT-related phenomena, also the growth of event data complies with Moore’sLaw.Similartothe numberoftransistorsonchips,thecapacityofhard disks, and the computing power of computers, the digital universe is growing exponentiallyandroughlydoublingevery2years[35,40].Althoughthisisnota M.Song,M.T.Wynn,andJ.Liu(Eds.):AP-BPM2013,LNBIP159,pp.1–22,2013. (cid:2)c SpringerInternationalPublishingSwitzerland2013
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