In recent years, the public has been paying ever greater attention to problems associated with energy production and consumption. Major news publications print headlines such as "Crude-oil Production Is Winding Down" and "Natural Gas Is in Scarce Supply." Nuclear crises seem more likely than ever, whether caused by human actions or natural disasters. Energy-supply issues rightly constitute one of the most important issues that we face. Before a viable alternative energy source of supply is discovered and implemented, energy saving is essential. This work proposes a method based on fuzzy logic for scheduling and controlling electrical operators in a cyber-physical system. Not only output of process but also environmental variations are considered. The electrical operators are assumed to be of a single type but with various capabilities. One set of sensors is placed dispersedly around the to-be-affected area for measuring the output of processes. Another set of sensors would collect the data on environmental- variations to predict purposes. The results of a simulation reveal that fuzzy control method for actuators in a cyber-physical system can be used to minimize the power consumption of the system while accomplishing the desired set point.