DEA-based performance predictive design of complex dynamic system usiness process improvement

Business performance prediction draws a vision that accounts for the measures of business process improvement through benchmarking which is to find best practices in an industry or organization and suggest solutions for business process improvement. Data envelopment analysis (DEA), a nonparametric mathematical programming, is utilized for business performance prediction that gives the best benchmark of business process improvement. The DEA-based benchmarking procedure and SA (slacks-adjusted)-AR (assurance region)-DEA model-based performance predictive design models are developed in this paper. The predictive design method considering business constraints on efficient frontiers of decision-making units (DMUs) is a kind of quantitative business knowledge discovery based on historical business data that synthetically takes both successful and impolitic business practices of various organizations or within an organization into consideration.