# Smart Manufacturing Application in Precision Manufacturing
## 3 Results  
In this section, the results are presented and discussed in three stages. Firstly, an example of the results produced from the smart manufacturing application being implemented in the connectivity, integration, and analytics stages is presented to show the kind of information that was produced relatively in real time for the operators and the management team during daily operations to effectively manage production. Secondly, the productivity performance related to a machine utilization in the factory over a period of three years (2020-2022) is presented and discussed to show the machine utilization performance over time during and after the smart manufacturing application implementation. Lastly, the overall productivity, financial performance, and environmental sustainability performance of the factory over a period of six years (2019-2024) is presented and discussed to show the performance effects over time during and after the smart manufacturing application implementation. Figure 7 shows example of the data produced in the form of digital dashboards taken at a snapshot in time from the systems that were implemented in the connectivity, integration, and analytics stages of the roadmap. Figure 7: Examples of the digital dashboards produced in the connectivity, integration, and analytics stages. (**a**) Integrex production line CNC machine condition monitoring dashboard; (**b**) Mill-Turn production line CNC machine condition monitoring dashboard; (**c**) live factory production status production management dashboard; (**d**) machine operator view production management dashboard; (**e**) plant environment view production management dashboard; (**f**) KPI report BI system dashboard. Figure 7a,b show the Smooth Monitor AX condition monitoring system dashboards implemented in the connectivity stage. These dashboards show the relative real-time condition data of the machines and the machining status of two production lines with a total of sixteen CNC machines connected. These dashboards are web-based applications used as productivity digital displays across the factory floor to encourage better machine operation management and at the office for production monitoring and better maintenance management. Figure 7c-e show the SMAS production management system dashboards implemented in the integration stage. These dashboards show relative real-time production data integrated with an IT system (the ERP), an OT system (Smooth Monitor Ax), and the factory environment data. Figure 7c shows the factory production status dashboard with near-real-time KPIs such as schedule attainment, OEE, and other factory status information such as relevant alerts related to quality, maintenance, and production as well as the machines events and their status. Such information is used to by the production management team to effectively manage production on the floor, manage the production schedule, and the production order attainment. Figure 7d shows the machine operator view dashboard that allows machine operators to receive and communicate production data related to productivity and quality, functioning as a manufacturing execution system (MES). Figure 7e shows the plant environment view dashboard, which displays processed data related to the factory floor environment such as the changes in temperature at different locations in the factory, the total power consumption of the factory, and the compressors' condition status. These dashboards are from a web-based application used as a smart production management tool to improve the productivity, efficiency, resilience, and agility of the manufacturing process. Figure 7f shows the business intelligence reporting system dashboard implemented in the analytics stage. Such dashboard reports can be accessed remotely via a web application and are used to report KPIs related to the production and quality performance of the factory. Figure 8 shows the productivity data related to the CNC machines in the factory and their utilization over a period of three years (February 2020-December 2022).