Titlebook: Asia Pacific Business Process Management; First Asia Pacific C Minseok Song,Moe Thandar Wynn,Jianxun Liu Conference proceedings 2013 Spring

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Clustering and Operation Analysis for Assembly Blocks Using Process Mining in Shipbuilding Industryblock, which is a part of a ship, has a different structure requiring specific work processes. Therefore, in order to better understand such real processes, an information system for monitoring of block position has been developed. Recently, the necessity of using data accumulated in information sys

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,Process Discovery by Synthesizing Activity Proximity and User’s Domain Knowledge,al process mining technique may conflict with the knowledge of users due to some real conditions, i.e. alternative activity is selected due to equipment breakdown. First, the use of heuristics may detect inconsistencies caused by bad guess. Second, extraction of all possible ordering of events refle

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A Methodological Evaluation of Business Process Compliance Management Frameworks,cific domain and compliance checking of normative requirements. This makes difficult for enterprises to decide on a framework suitable for their compliance requirements. Making a decision on the suitability requires a deep understanding of the functionalities of a framework. Gaining such an understa

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,Improvement of Patient Safety in u-Hospital: A Pattern-Based Approach for Handling Patients’ Abnormbnormal situations, we apply ontology technology. Several important patterns have been identified and they can be managed by the proposed system. We have designed a system architecture of integrating BPM and ontology, and developed core part of the proposed system. The integrated system is called u-

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,Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining, 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, dimensions related to process instances (e.g. cases are split into gold and silv

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Clustering and Operation Analysis for Assembly Blocks Using Process Mining in Shipbuilding Industryters from the process perspective. The output of clustering and operation analysis can be used for production planning purposes such as resource allocation and operation scheduling for assembly blocks. The effectiveness of the proposed method was verified in a case study using real event logs genera

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,Process Discovery by Synthesizing Activity Proximity and User’s Domain Knowledge,he method derives a bounded graph that covers the extra-behavior of an event log according to user’s domain knowledge. Another important property is that it produces a graph with considering the proximity among activities that still contains the original behavior of the event log based on event type

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