[국내논문]효율적인 비즈니스 프로세스 진단 및 설계를 위한 프로세스 마이닝과 시뮬레이션 통합 프레임워크 Integrated Framework of Process Mining and Simulation Approaches for the Efficient Diagnosis and Design of Business Process원문보기
급변하는 외부 환경에서 생존하기 위해 대부분의 기업은 비즈니스 프로세스를 혁신하거나 개선하고자 노력하고 있으며, 이를 위해 많은 기업들이 프로세스 운영에 BPM (Business Process Management) 개념을 도입하고 있다. 기업에서 BPM 단계는 진단-설계-구현-실행 순으로 진행되는데, BPM 생애 주기에서 통상적으로 비즈니스 프로세스의 진단은 지금까지 주로 인터뷰나 설문지 또는 프로세스를 직접 관찰하는 방식과 같이 수작업으로 이루어졌다. 비즈니스 프로세스의 (재)설계 방법도 주로 백지 상태에서 시작하여 전문가의 지식에 의존하는 수작업 방식으로 이루어져 왔다. 이 연구의 목적은 프로세스 진단 단계에서 프로세스 마이닝을 이용하여 자동으로 생성된 프로세스 모델과 통계량을 (재)설계 단계에서도 공유함으로써 별개로 행해지던 진단과 설계 업무를 통합하려는 것이다. 이러한 시도의 궁극적인 목표는 비즈니스 프로세스 진단과 설계 업무를 자동화하려는 것이다. 제안 프레임워크를 구현하고 유용성을 제시하기 위해 두 개의 사례 연구를 행하였다.
급변하는 외부 환경에서 생존하기 위해 대부분의 기업은 비즈니스 프로세스를 혁신하거나 개선하고자 노력하고 있으며, 이를 위해 많은 기업들이 프로세스 운영에 BPM (Business Process Management) 개념을 도입하고 있다. 기업에서 BPM 단계는 진단-설계-구현-실행 순으로 진행되는데, BPM 생애 주기에서 통상적으로 비즈니스 프로세스의 진단은 지금까지 주로 인터뷰나 설문지 또는 프로세스를 직접 관찰하는 방식과 같이 수작업으로 이루어졌다. 비즈니스 프로세스의 (재)설계 방법도 주로 백지 상태에서 시작하여 전문가의 지식에 의존하는 수작업 방식으로 이루어져 왔다. 이 연구의 목적은 프로세스 진단 단계에서 프로세스 마이닝을 이용하여 자동으로 생성된 프로세스 모델과 통계량을 (재)설계 단계에서도 공유함으로써 별개로 행해지던 진단과 설계 업무를 통합하려는 것이다. 이러한 시도의 궁극적인 목표는 비즈니스 프로세스 진단과 설계 업무를 자동화하려는 것이다. 제안 프레임워크를 구현하고 유용성을 제시하기 위해 두 개의 사례 연구를 행하였다.
To survive in the ever-changing environment, organizations need to improve or innovate their business processes. As a result, to attain this objective, BPM (Business Process Management) concept is widely adopted in modern enterprises. BPM life cycle consists of diagnosis, design, implementation and ...
To survive in the ever-changing environment, organizations need to improve or innovate their business processes. As a result, to attain this objective, BPM (Business Process Management) concept is widely adopted in modern enterprises. BPM life cycle consists of diagnosis, design, implementation and enactment. Conventionally, diagnosis of business process within the BPM life cycle is usually conducted by manual methods such as interviews, questionnaires and direct observations of process. And (re)designing business processes is also usually done manually under supervision of business experts from scratch. It is time-consuming and error-prone tasks. The objective of this research is to integrate the diagnosis and (re)design phase of BPM life cycle by sharing automatically generated process model and basic statistics in the diagnosis phase based on the process mining method. Eventually, this approach will lead to automate the tasks of diagnosis and design of business process. To implement and to show the usefulness of the proposed framework, two case studies were conducted in this research.
To survive in the ever-changing environment, organizations need to improve or innovate their business processes. As a result, to attain this objective, BPM (Business Process Management) concept is widely adopted in modern enterprises. BPM life cycle consists of diagnosis, design, implementation and enactment. Conventionally, diagnosis of business process within the BPM life cycle is usually conducted by manual methods such as interviews, questionnaires and direct observations of process. And (re)designing business processes is also usually done manually under supervision of business experts from scratch. It is time-consuming and error-prone tasks. The objective of this research is to integrate the diagnosis and (re)design phase of BPM life cycle by sharing automatically generated process model and basic statistics in the diagnosis phase based on the process mining method. Eventually, this approach will lead to automate the tasks of diagnosis and design of business process. To implement and to show the usefulness of the proposed framework, two case studies were conducted in this research.
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문제 정의
The aim of performance analysis is to find bottleneck activities in the process model and find routes with long execution or waiting time. Animation view in process mining softwares like Disco also provides a good visualization of activity flows to find bottlenecks during the process execution.
This research proposed an integrated framework of process mining and simulation approaches for the efficient analysis and design of business process to align business processes with ever-changing environment.
The objective of this study is to integrate both diagnosis and (re) design phases of BPM life cycle by sharing results in the diagnosis phase based on process mining. The process model and basic statistics from the process mining method is shared with the simulation model to validate the newly (re)designed processes by measuring their performance indicators.
As a further research, the inclusion of data mining approach within the proposed framework in the diagnosis phase is needed in order to find more plentiful and accurate diagnostic results from historical data. Also, application of the proposed framework on more real world business processes needed to validate the usefulness of this research.
제안 방법
Greasley (2003) made a case study of the use of business process simulation within the context of a BPR approach to change[8]. In his research, he used simulation approach to predict the performance of the to-be model, and to construct a model of the as-is state. He used business process simulation in a custody of prisoner process within the context of a BPR approach to change.
In this research, the role of process mining is to support both design and diagnosis phases of the BPM life cycle by constructing the process model automatically.
After that, the simulation model is built to evaluate the performance of new process model.
The purpose of proposed framework is to extract knowledge from event data automatically and its direct use to build the simulation model for newly designed business process. In order to achieve this purpose, process mining approach is applied to the event log to discover the current behavior or control flow of the business processes and eventually process model.
In this research, the organizational miner was used to discover number of resources belong to each activity in the as-is process model using organizational miner plug-in of the ProM software.
Next, new experiment was designed for 3 scenarios by changing the processing time of ‘repair (complex)’ activity, and the performance indicator is the average time in the system.
[Table 6] shows the comparison between as-is and to-be model of purchasing process. Therefore, diagnosis task is conducted directly by means of process mining method, and based on the results of diagnosis phase, simulation experiment is executed by sharing the result of process mining to evaluate the performance of the newly designed processes.
대상 데이터
In a diagnosis phase, event log having attributes such as case id, activity, resource, start time stamp and complete time stamp are investigated by process mining method to find bottlenecks and problems. ProM[20] and Disco[21] softwares were used in this research.
이론/모형
Process mining was used as a diagnostic methodology, which consists of five phases: log preparation, log inspection, control flow analysis, performance analysis and role analysis. In this study, the process mining is used as a diagnostic approach, and moreover is used for building simulation model of as-is and to-be business process models[7].
In[16], repair processes of electronic devices are analyzed using process mining approach. In this research, the method for finding major failure patterns is proposed by multi-dimensional data analysis. Kim and Shin (2006) proposed ISO 9001 Quality Management System based on BPM, and implemented quality management system called KQMS (KISTI Quality Management System)[17].
Based on the statistics and already built process model of as-is process based on process mining, the to-be process simulation model was made in the design phase. In this research, Simio simulation software was used[25].
성능/효과
Business process model which is extracted by control flow discovery should have a formal foundation. Well-known reasons include: 1) formal models do not leave any scope for ambiguity, and 2) formal models increase the potential for analysis.
후속연구
As a further research, the inclusion of data mining approach within the proposed framework in the diagnosis phase is needed in order to find more plentiful and accurate diagnostic results from historical data. Also, application of the proposed framework on more real world business processes needed to validate the usefulness of this research.
참고문헌 (25)
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