## 4 Results and Discussion
### Proposal of the Improvements  
A critical analysis of the input parameters and their influence on the incidence of defects in the production process reveals several key actions that the company must undertake to optimise production quality and reduce defects. First, it is recommended that the company implement precise temperature control mechanisms in order to optimise and monitor production temperature (X1). Production temperatures must remain below 1020 \({}^{\circ}\)C to minimise the probability of cracks (D2) occurring. Implementing real-time temperature monitoring and control systems is recommended to ensure consistent temperature management, with the specific objective of minimising the occurrence of cracks. Subsequently, the company should implement a policy of standardising the use of coolant type O throughout the production process, particularly in areas where scratches (D1) are prevalent. Given the significant reduction in the occurrence of scratches associated with the use of the \"O\" coolant, it would be prudent to establish this as the standard coolant. Additionally, periodic evaluations of coolant efficacy should be carried out to determine its continued capacity to diminish surface imperfections. Regarding the parameter X4, it is recommended that the company implement monitoring systems to ensure that it remains within an optimal range, particularly below 0.35, with the objective of minimising both cracks (D2) and dimensional inaccuracies (D5). Given the significant impact of X4 on the prevalence of defects, meticulous regulation of this parameter can enhance product quality and reduce the incidence of defects. Furthermore, the company should adjust the production speed (X5) based on the specific types of products and the observed defect rates. It is recommended that a moderate production speed be maintained to achieve an equilibrium between quality and productivity, as this parameter exerts a moderate influence on the occurrence of cracks and dimensional inaccuracies. Furthermore, the company should implement a predictive maintenance system for tool wear (X7). The system should monitor the use of tools and the level of wear to facilitate the prompt implementation of maintenance or replacement procedures when wear reaches a critical threshold. It is evident that the wear of the tool plays a significant role in the formation of cracks. Therefore, it is imperative that regular maintenance procedures are implemented to minimise defects and ensure consistent quality. To facilitate the aforementioned actions, it is recommended that the company implement advanced real-time quality control systems that monitor critical parameters, including the temperature, tool wear, and coolant. Such systems should be capable of providing automated alerts or adjustments to prevent the formation of defects, thereby reducing the need for rework and ensuring consistent quality throughout the production process. Furthermore, it is imperative that employee training be conducted on a regular basis to ensure that operators and technical staff fully understand the importance of monitoring and controlling key parameters. Training should concentrate on the optimal methods for the management of temperature, tool wear, and coolant usage. Moreover, the company should undertake periodic process audits with a view toward identifying potential areasfor further optimisation and ensuring that all production steps comply with the requisite quality standards. Finally, the company should adopt a data-driven decision-making approach, using machine learning and data analytics to facilitate the continuous analysis of production data. By identifying trends in defect formation, the company can make adjustments to the production process in real time based on the insights gained from these models. This will assist in maintaining optimal conditions and reducing defect rates in a dynamic production environment.