# Precise Mission Process Control Based on a Novel Dual-Code Group Network Plan Diagram
The existing research has demonstrated the applicability of mission process control in various domains, including production plan management [17], traffic management [20], and safety critical mission systems [21]. In the context of production plan execution, it is inevitable that various factors affect the production progress, resulting in delays to the production schedule. The earned value method (EVM) has a wide range of applications in the control of production progress. EVM enables the quantitative description of production process deviations by setting a series of earned value indexes, tracking and checking the indexes at critical time nodes, and guiding the design of plan adjustment measures. However, EVM is primarily utilized for time-insensitive long-cycle production planning as it lacks the capacity to generate accurate control measures in a timely manner. Consequently, EVM is not well-suited for mission process control with high time precision. In the context of airline management, mission process control primarily entails addressing the impact of flight delays on subsequent flights. There are two main types of flight delay control: proactive control and real-time control. Proactive control involves considering the uncertainty of the environment at the stage of flight planning in order to enhance the resilience of the flight plan. Proactive control relies on flight delay propagation prediction models. In Refs. [22; 23; 24], a flight delay propagation model is constructed based on flight history data, which enables the prediction of downstream flight delay levels and durations. Proactive control adjusts the slack time and flight path of the flight based on the flight delay prediction to achieve the minimization of delay disturbance [25; 26]. Real-time control refers to the recovery plan after flight delays [27]. Ref. [28] employs integer linear programming to construct a dynamic recovery model for real-time flight delays, which can generate flight recovery plans for airlines in less than a minute. Ref. [29] proposes a distributed robust optimization method for flight recovery. A flight recovery model based on the RCMmodel is developed for a regional multi-airport system [30]. The objective of flight delay control is to minimize delay costs, although it does not guarantee the complete elimination of downstream flight disturbances. In safety-critical systems, mission control's primary concern is risk control, with the control strategy focusing on the decision of whether the mission should continue or be aborted [31; 32]. Mission risk control is concerned with the construction of an optimal termination strategy. This is achieved by sampling the system health states information and exploring the balance point between mission risk and mission cost. However, these strategies may be more focused on responding to the effects of specific events rather than providing a comprehensive real-time feedback control system. In a network with a large number of connected resources, there is little slack time to absorb delays, which propagate rapidly along the entire network [33]. Consequently, delays must be controlled in real time. In conclusion, the existing research on mission process control has not yet established a real-time control system for the mission process with the objective of eliminating delays in the mission. Furthermore, there is a lack of exploration of real-time high precision control strategies for the mission process. In order to address this gap in the literature, we have carried out an interesting work to explore how to provide anti-disturbance capability to a plan with complex cooperative relationships. In conclusion, to address the shortcomings of the existing research, this paper's main contributions can be summarized as follows:  
* To enable the description of large and complex group plans, we enhanced the traditional network plan diagram and developed a novel dual-code group network plan diagram with a timeline.