The growing demand for wireless sensor networks in automated factory is mainly due to their useful benefits and advantages. Applying such technology can minimize human errors, avoid wiring problems and complications, and reduce both cost and production time. This chapter deals with the design and implementation of a real-time monitoring, scheduling, and control system for a factory automation using the concepts of wireless sensor networks. The intended factory automation consists of load/unload stations with programmable machines, conveyor belts, manipulators, and mobile robots or automated guided vehicles. Each unit in the factory automation can be considered as a node in a wireless sensor network. Set of sensors and detectors together with IP cameras are used to provide the controller with feedback signals about all elements and the working environment. An intelligent decision unit has been developed to obtain the destined load/unload station for the selected object. MATLAB Simulink has been applied and integrated with suggested system available devices to complete the required integrated system. The feedback signals from IP camera, machines load/unload stations are used by the controllers to obtain the required control strategy to manage the over-all operation of the automated factory. A fuzzy-based algorithm has been used for decision making, scheduling, and routing purposes. The results from both experimental and simulated systems confirm that the implemented suggested automated factory performs the required tasks with acceptable accuracy, cost, and speed.