Title :
Finding method of business risk factors by using qualitative and quantitative hybrid simulation
Author :
Akiyoshi, Masanori ; Negoro, Keisuke ; Mitsukuni, Koshichiro ; Komoda, Norihisa
Author_Institution :
Osaka Univ., Suita, Japan
Abstract :
This paper addresses a new approach to find business risk factors based on business scenarios derived from qualitative-quantitative hybrid simulation. To investigate business risk factors under uncertain business environment, cause-effect interpretation of business factors along with time is significant for decision-makers. Business factors are represented either qualitatively or quantitatively. Our proposed simulation model involves such aspects with structural model representation and generates possible scenarios by using Monte Carlo simulation. However, possible scenarios as probability distribution of target factors inherently involve risk scenarios and non-risk scenarios from decision-makers point of views. Identifying risk factors still resorts to decision-makers without computational analysis support on derived outputs. Therefore we propose a finding method of business risk factors on target models.
Keywords :
Monte Carlo methods; business process re-engineering; risk management; Monte Carlo simulation; business risk factors; cause-effect interpretation; probability distribution; qualitative-quantitative hybrid simulation; Business communication; Companies; Computational modeling; Decision making; Equations; Hybrid power systems; Probability distribution; Quality management; Risk analysis; Risk management;
Conference_Titel :
Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-1-4244-3759-7
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2009.5195880