Bibliographic citations
Tipian, E., (2018). Mejoramiento del proceso productivo para reducir el índice de reproceso utilizando las 7 herramientas de la calidad en la empresa Metalúrgica Vulcano SAC, Huachipa 2017 [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/12842
Tipian, E., Mejoramiento del proceso productivo para reducir el índice de reproceso utilizando las 7 herramientas de la calidad en la empresa Metalúrgica Vulcano SAC, Huachipa 2017 [Tesis]. PE: Universidad Privada del Norte; 2018. https://hdl.handle.net/11537/12842
@misc{renati/422085,
title = "Mejoramiento del proceso productivo para reducir el índice de reproceso utilizando las 7 herramientas de la calidad en la empresa Metalúrgica Vulcano SAC, Huachipa 2017",
author = "Tipian Rivera, Edwing Ediberto",
publisher = "Universidad Privada del Norte",
year = "2018"
}
ABSTRACT Metalúrgica Vulcano is a company that offers spare parts in bronze for the industries in general. Encompassing the entire production process for the manufacture of parts; melting them and mechanizing them. With these two manufacturing processes, metalurgica vulcano, its main base is quality, in the material; since it manufactures its raw material and quality in machining; meeting the dimensional requirements of the client. These two manufacturing processes mentioned are not unrelated to having bad quality indices and everything that goes with it; rework, deliveries out of time, etc. The general objective of this research work is to determine the influence of the 7 tools of quality in the production process, in order to reduce the reprocessing index. And so know the current situation of the process in regard to the quality of the products, knowing all this can be proposed proposals for improvements in the subprocesses. With the control sheet, the main players of the reprocessing were found. With the control chart it was announced that it is impossible to have a control of the reprocesses since the kind of production process that is handled is intermittent, each piece has its control parameters. With the Pareto diagram, the most relevant actors in the research time were found, this analysis also revealed in which production process the reprocessing takes place, making it known that the smelting process has the highest reprocessing rates. Knowing the actuators and the area, with the flow diagram of the foundry production process, the subprocesses where the actuators are located were located. Since several kinds of bronzes are produced with the histogram, the material that is rejected the most due to its quality was given, thus giving the SAE 620 (tin bronze) the most rejected. To delve more deeply into the actors of the reprocessing, the Ishikawa diagram was used to find the root causes. Finally, we sought to know how much a rework affects in the overtime, what correlation exists, the scatter diagram let us know that, if you have a slight influence, but it is not as significant as you thought, this is because in the pouring program you can increase loads, and thus be able to correct a failed part. Knowing the root causes of the actioners of the reprocessing, a series of measures was proposed to have a better control in the subprocesses. In this way, we propose the implementation of the 5S 'in order to have order and cleanliness; mainly in the inputs and area. Training to the personnel, in molding in sand and in foundry processes. Implement an inventory policy, in order to have the inputs of the fusion process in the exact amount and at the exact moment. Finally, it was proposed to make a purchase of an infrared thermometer with a measurement range of -64 ° C to 1400 ° C, to have a temperature control in the casting process. These measures are expected to reduce the reprocessing rate by 80%. Finally, with an economic evaluation in months of the proposals it was obtained that it is feasible to carry out and start up these since a cost benefit of 2.8 was obtained by implementing the 5 S'. Implementing an inventory policy results in a cost benefit of 2.2. With a training plan, a cost benefit of 2.4 was obtained. Finally, with the acquisition of an infrared thermometer there is a cost benefit of 2. Taking us to the conclusion that the investment in the proposals can be recovered in at least 2 months.
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