# Methods of Balancing Technological Systems of Multiproduct Production
## 2 Literature Review
One of the studies proposed a multi-objective disassembly line balancing model with the objective of simultaneously minimizing multiple conflicting objectives, including idle rate, smoothness, labor cost, and energy consumption. A significant contribution of this study is the development of a bespoke adaptive large neighborhood search algorithm, which represents an inaugural study in the field of product disassembly algorithms. The algorithm is designed to effectively destroy and repair solutions, whereas a local search procedure enables it to circumvent local optimum solutions [15]. There have also been studies aimed at solving the distributed assembly scheduling problem with rearranged shop floor flows using sequence-dependent picking times. The goal of the optimization of such a problem is to minimize the maximum lead time. Two types of feasible solutions were generated during the initialization phase. Second, the linear migration model was replaced with a sinusoidal migration model and a modified product insertion method was used in the migration phase. In the mutation stage, the job insertion method was used to adjust the job processing order for each product. A local search method was used to exit the local optimum [16]. The inherent dynamism and uncertainty of the production processes indicate the potential benefits of integrating an adaptation model into the production planning process. A potential solution is to implement a closed-loop adaptive scheduling system based on a cyber-physical production system. This system comprises four phases: collection of production data, identification of dynamic disturbances, adjustment of scheduling strategy, and generation of scheduling scheme. The identification of disturbances is contingent on the implementation of a monitoring system capable of ensuring a real-time response. A scheduling strategy was proposed in the subsequent phase, and a scheduling scheme was subsequently generated [17]. The TS readjustment of production areas results in a change in the production technology of a new product by a particular production area or workshop. The adjustment or readjustment of the TS equipment (for example, in a workshop) can represent the structural modeling of operations provided by the start-up program. The list of requirements for each realizable operation is expressed in production technological solutions (PTSs), generally defined by the TS flexibility of each operation performed at a particular production area. Many researchers have considered the issue of increasing the TS flexibility [18; 19; 20; 21]. However, it has not yet been resolved. All industrial power generation, transmission, distribution, and process monitoring systems utilize supervisory control and data acquisition (SCADA) technology and cloud-based control systems for advanced monitoring and process control at the dispatch level. This reduces the required workforce and decision-making time, simplifies the planning of system tasks, and visualizes the system process slightly and correctly. SCADA makes it possible to reduce the cost of purchasing industrial process monitoring software and launching production in a fully automatic and controlled environment. However, analysis shows that modern SCADA systems have two primary disadvantages. Wireless sensor networks are a promising SCADA communication technology that can significantly improve sensing capabilities. However, it is difficult to integrate them into existing SCADA systems because of their lack of compatibility. Second, the existing SCADA systems limit their ability to expand to new applications. For example, it is difficult for a company to extend its SCADA system by adding an alarm system [22]. The proposed approach to balancing the capacity of the TS production area is that the elements of the technological operation competing for the overloaded \(i\)-th TS operation become redistributed between two neighboring operations or assigned as a separate operation.