Abstract:

 For the complex inventory control and demand distribution caused by introducing network sale, a satisfaction based inventory and distribution strategy was proposed. A biobjective nonlinear integer constraint programming model was established to minimize the system cost and maximize the time satisfaction,  the elite recombination based hybrid multiobjective evolutionary algorithm (ERHMEA) was proposed. Numerical simulation proves the bi-objective model is better than single ones. The algorithms show obvious superiority in both solution quality and efficiency, and the sensitivity analyses of key parameters provide important conclusions and effective bases for enterprises to optimize their decision-making.

Key words: hybrid channels; inventory; distribution; time satisfaction; multi-objective optimization