Data-driven scheduling optimization under uncertainty using Renyi entropy and skewness criterion.

•A scheduling optimization problem under resource cost uncertainties is studied.•An integrated Renyi mean-entropy-skewness information criterion is proposed.•Data-driven approximations of the information criterion are developed.•Real industrial applications with diverse system scales and data types are studied.•Reduced average dispersion rates are achieved in all the computational experiments.