## 4 Discussions and Conclusions
Every element of the platform--the telemetry of the machine (providing high-quality automated data related to the working time of the machine and other information related to the production), the intervention request system (which enables automatic collection, requests the intervention, and collects the information related to the requests), the intervention tracking system (which allows one to accurately collect information associated with the duration of the intervention), and the human-system interface (which facilitates the collection of the reasons of the stoppage, meaning that only the operator can manually collect the relevant data)--is essential for improving data quality. The improvement in the quality of information has had positive effects on the effectiveness of investment efforts to improve the efficiency of production plants. More precise information on downtime monitoring helps to maintain strong business quality potential within a limited time and with limited expense [16; 17]. This paper could help improve the power related to the quality of manual data collection, which is often seen by researchers as an acquisition system that can only be substituted by an automatic system. Other research works have set out to improve the quality of manual data [20] but without the use of an IoT architecture that exploits real-time monitoring and in-depth knowledge of the process to obtain information relating to stops, a mandatory task. As demonstrated by [PERSON] et al. [31], cost reduction, as a function of resource reduction, is linked to a positive environmental impact. In the future, more investigations are needed to understand the environmental impact of improving the quality of data on the performance of production units. The main limitation of the present research study is linked to its absence of reporting on applying the proposed architectural model in a productive context. Future research studies must investigate the application of the architectural model in a real production context. It is important to evaluate the real benefits produced and the problems that could arise from using the system for the process. The architectural model was designed ad hoc for the injection molding production line to improve manual data quality without slowing down the process; the architecture can be applied in different fields, but it must evaluate the fitting between the solution and the process. Conceptualization, G.L., V.D.P., M.F. and S.R. ; methodology, V.D.P. and M.C.P. ; writing--original draft preparation, G.L. and V.D.P. ; writing--review and editing, V.D.P. and M.C.P. ; supervision, M.F. and S.R. ; funding acquisition, M.F. All authors have read and agreed to the published version of the manuscript. This research article was funded by the Italian Ministry of Economic Development under the \"SIM 4.0\" project (grant number F/190172/03/X44), FESR 2014-2020 Italian program (46458), and Horizon 2020 EU program. Data Availability Statement: Data are contained within the article. The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.