# Enhancing Production Efficiency Through Digital Twin Simulation Scheduling
## 4 Results
This makes it easier to compare different simulation scenarios and correctly set capacities and processes in real operations. The following Figure 11 shows the other outputs that were acquired by the proposed production scheduling system. All the obtained results can be used not only for production management but also for presentation purposes, the in-depth analysis of the system, knowledge systems, etc. Figure 11 shows several additional outputs that the production planning and control system generates and provides for the analysis and monitoring of production and logistics processes. Packaging regulations for each order  
This contains detailed information about the method of packaging of products (type of packaging, dimensions, weight, number of pieces per pallet, etc.). The data are often color-coded, which allows one to quickly determine whether the packaging meets the prescribed rules and standards. Production schedule in tabular form  
This displays the production schedule in the form of a table, which lists individual orders or production tasks with a planned start, end, and assigned workplace. The status and progress of the fulfillment are often highlighted with colored columns. Figure 9: Gantt chart of presented schedule. Work in progress (WIP)  
This is a graphical representation of the production in progress over time. It provides an overview of the system load and reveals periods of maximum load or, conversely, lower utilization, which helps to detect potential bottlenecks. Mean time of delay tasks  
Figure 10: AGV and workplace utilization during a schedule. This table contains the average times during which individual processes (for example, preassembly, HVC 1, PRESS, motor mounting) are delayed or waiting. Based on these, the most problematic sections can be identified and improvements can be proposed. Number of products by dimension and number of pallets by dimension  
These tables show how many products and pallets are produced in certain dimensions. This information is mainly used by teams focused on optimizing packaging, storage, and transport planning. Arrival of pallets for expedition  
This displays the arrivals of pallets for transportation, where their identification numbers, dimensions, and product types are recorded. Thanks to these data, loading and distribution can be better organized. All of the above tables, graphs, and reports allow managers and planners to obtain a clear picture of the production progress, packaging status, and logistics flows, so that they can respond promptly to any disruptions or changes and constantly identify means to improve their processes. By applying the proposed scheduling system, various variants of the production schedule were created and verified, and each plan was evaluated using a sanction function. The capacity utilization of production and logistics facilities was also checked. The experiments were based on real data obtained from production using a monitoring system and by drawing data directly from the company's ERP system. To verify the reliability of the obtained data, an error analysis was performed and confidence intervals were calculated for key parameters, such as the total production time (makespan) and cost savings. Confidence intervals were determined at a confidence level of 95%, with the calculated average value of the makespan in the simulation being 8 h 18 min \(\pm\) 4 min, which confirms the high accuracy and reliability of the model. This value is related to a fixed production requirement of 223 units. The statistical test, namely the ANOVA, confirmed the significance of the differences between the original or conventional method and the simulation-generated schedule variants (\(p\)-value \(<\) 0.01), ensuring that the savings found were not merely the result of random deviations. A sensitivity analysis was performed on selected parameters, especially the critical factors in order prioritization (e.g., the critical ratio, the order lead time, the number of pieces in the order).