본 논문은 manufacturing과 business 분야의 시뮬레이션 논문들의 현황을 분석한 review paper입니다. Scopus에서 1997년부터 2006년까지 출판된 논문 20,000여 건을 검색한 후, 1,200 개의 논문을 선정하여 abstract 검토를 한 후, 최종적으로 281개의 논문에 대해 full-text reading을 통해 시뮬레이션 논문의 추세를 분석하였습니다. 본 논문에서는 모든 시뮬레이션 기법들을 대상으로 하였고 (예를 들어, System Dynamics, Monte Carlo, Petri-net 등), 그 분석 범위가 매우 넓어 (예를 들어, Assembly line balancing, Process engineering, Strategy, Supply chain management, Knowledge management 등) 시뮬레이션 연구의 현 주소를 잘 나타내고 있는 것으로 판단됩니다. 또한 시뮬레이션 적용 범위에 Strategy, Knowledge management, Organizational design , Management training and education 등을 포함한 것이 본 논문의 독특한 특징입니다.

논문명
Simulation in manufacturing and business- A review

수록저널

European Journal of Operational Research xxx (2009) xxx–xxx
SCIE, IF: 1.627, 5-year IF: 2.084

저자
Mohsen Jahangirian (a), Tillal Eldabi (b,*), Aisha Naseer (a), Lampros K. Stergioulas (a), Terry Young (a)

(a) School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex UB8 3PH, UK
(b) Brunel Business School, Brunel University, Uxbridge, Middlesex UB8 3PH, UK

Abstract
This paper reports the results of a review of simulation applications published within peer-reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of simulation techniques within manufacturing and business. The review is characterised by three factors: wide coverage, broad scope of the simulation techniques, and a focus on real-world applications. A structured methodology was followed to narrow down the search from around 20,000 papers to 281. Results include interesting trends and patterns. For instance, although discrete event simulation is the most popular technique, it has lower stakeholder engagement than other techniques, such as system dynamics or gaming. This is highly correlated with modelling lead time and purpose. Considering application areas, modelling is mostly used in scheduling. Finally, this review shows an increasing interest in hybrid modelling as an approach to cope with complex enterprise-wide systems.

Keywords
Simulation, System dynamics, Modelling methods, Business and manufacturing

많은 기업에서 ERP 등을 통해 표준 프로세스를 도입하고 있습니다. 하지만 도입한 비즈니스 프로세스가 추구하고자 하는 기업 목표에 잘 부합하는지, 어떤 프로세스와 어떤 KPI가 서로 밀접한 연관이 있는지 등을 고려하여, 기업의 전략에 적합하도록 프로세스를 개선하는 것도 중요하리라 생각이 듭니다. 해당 논문은, 비즈니스 프로세스와 KPI와의 관계를 먼저 분석함으로써 개선되어야 할 프로세스를 선택한 후, 개선된 프로세스의 성과를 시뮬레이션을 통해 분석하는 방법론을 제시하고 있습니다. 비즈니스 프로세스 개념을 도입하는 기업들은 한번쯤 이 분석 방법을 적용할 필요가 있을 것 같습니다.

논문명
Two-stage process analysis using the process-based performance measurement framework and business process simulation

저자
한관희 (경상대학교)
강진구 (경상대학교)
송민석 (아인트호벤공대)

수록저널
Expert Systems with Applications 36 (2009) 7080–7086
Journal Info: SCIE / IF: 1.177 / 5-year IF: 1.412

Abstract
Many enterprises have recently been pursuing process innovation or improvement to attain their performance goals. To align a business process with enterprise performances, this study proposes a two-stage process analysis for process (re)design that combines the process-based performance measurement framework (PPMF) and business process simulation (BPS). The two-stage analysis consists of macro and micro analyses of business processes. At the early stage of business process analysis (BPA), macro process analysis is conducted to identify the influence of a business process on a target
key performance indicator (KPI) or the contribution of a target KPI to other KPIs. If target business processes that need improvement are identified through the macro process analysis and to-be processes are newly designed, micro process analysis using simulation is conducted to predict the performance. The proposed method is validated by application to a real business process within the setting of a large Korean company.
   By using the proposed, two-stage process analysis, company staff involved in process innovation projects can determine the processes with the greatest influence on enterprise strategy, and can systematically evaluate the performance prediction of the newly designed process. - 2008 Elsevier Ltd. All rights reserved.