Diseño de un software RM para gestión de datos de mantenimiento de moldes de inyección basado en el estándar de la iso 14224

Abstract

In the injection molding industry, molds play a crucial role as they are the key component that determines many of the key aspects of the process, such as the shape of the part, the material, the injection time, the surface quality, etc. Failures in these assets can lead to increased costs, low performance, poor quality in the parts, which will comprehensively affect any industry, company or production department that has this industrial process as part of its business portfolio. Despite how critical these situations of affectation can be, the maintenance management for these assets is not always the best or the most optimal, this can be seen in a lack of structuring of the data taken to carry out the pertinent analyses that help in the decision making for the maintenance management of injection molds, for this an efficient management of the maintenance data is needed, to have a clear overview of the most recurrent failure modes and to have the capacity to execute the maintenance actions that have the best effect on the failures presented, as well as a base to implement prediction systems and/or that provide forecasts on the current panorama of the injection mold to be intervened or analyzed. Faced with the previous situation, with this work it is intended to cover part of this problem. This will be done with the initial implementation of the ISO 14224 standard, this standard is used in the oil and gas industry, industries that have similarities with the injection molding industry, which will allow an optimal integration of this standard to the maintenance management of injection molds. With this standard, it will be possible to propose the structure of the failure modes, detection methods, failure frequency and other data necessary for the characterization of the failure. After this, it will be necessary to collect and save the data efficiently and safely. This will be achieved through the implementation of a data storage system through a database, this will guarantee integrity, consistency and long-term accessibility. Through a database manager, the work for the management of this data will be facilitated. Finally, software tools will be implemented, such as Python together with its libraries, such as Numpy and Pandas for statistical analysis, calculation of indicators and management of data between the code written in this language and the database and through Power Bi, a graphical visualization of the data obtained will be given. The integration of these 3 components (structure with ISO 14224, databases, Python) will result in an ecosystem of programs that will provide a solution to the above problem, since its implementation could help achieve an improvement in operational efficiency, reduction of downtime and optimize the useful life of the injection mold.