Introduction.- Fundamentals of intelligent decision-making techniques.- An intelligent decision-making framework for production planning and control.- An intelligent optimization model for order scheduling at factory level.- A bi-level intelligent optimization model for assembly line scheduling with flexible operation assignment.- A bi-level multi-parent genetic optimization model for flexible assembly line balancing with work-sharing and workstation revisiting.- An evolution strategy-based multi-objective optimization model for order planning with multiple production departments.- A multi-objective memetic optimization model for order planning with uncertainties.- A harmony search-based hybrid intelligent model for order planning with learning effects.- An RFID-and-cloud-based intelligent decision support system architecture for production monitoring and scheduling.- A neural network-based forecasting model for univariate sales forecasting.- An extreme learning machine-based intelligent decision-making model for multivariate sales forecasting.- Conclusion.