scholarly journals Control cuantitativo de la calidad en una empresa del sector servicios = Quantitative quality control in a company of the service industry

Author(s):  
María Isabel López Rodríguez ◽  
Ernesto Guerola Adell

<p>En el presente trabajo se aplican herramientas de Control Estadístico de Calidad, habitualmente utilizadas en procesos productivos, a una empresa dedicada a la auditoría y que por tanto pertenece al sector servicios. La elección de las herramientas utilizadas (gráficos de control, indicadores de capacidad, función de pérdida de Taguchi…) obedece a la necesidad de controlar si se cumple el objetivo de la empresa de realizar la auditoría a la empresa cliente 7 días antes de la fecha teórica, lo que conlleva una disminución de costes. También se cuantifica la pérdida que produce el incumplimiento de dicho objetivo y se proponen medidas correctoras que disminuyen la variabilidad del proceso y aumenten la competitividad de la empresa.</p><p>In this work we apply Statistical Quality Control tools, often used in production processes, to an audit company that as such belongs to the service industry. The tools employed (control graphs, capacity indicators, Taguchi loss function…) are chosen to confirm whether the company audits 7 days before the set date in order to reduce costs. Losses associated to failure are quantified and correction measurements proposed to reduce the variability of the process and increase the company competitivenes<strong>s.</strong></p> <strong></strong>

Author(s):  
Rianita Puspa Sari ◽  
Dewi Puspita

The company always tries to meet customer demands, so it must be able to provide good product quality. Quality control is always carried out by manufacturing companies for the creation of zero defects. Lever Assy Parking Brake is part of the cars spare parts produced by manufacturing company X and must have a zero defect product quality level. The purpose of this study was to determine the level of product defect using the Statistical Quality Control (SQC) method. Data was carried out with process control procedures. This study showed that the product defect rate of Lever Assy Parking Brake with Statistical Quality Control (SQC) method in March 2018 was very large. As seen from the 22 data production processes, 13 production process data (59 percent) were out-of-control but still fell within the specification limit of 9 ± 0.5 mm. Meanwhile, only 9 data production processes (41 percent) were in control. So there is a need to analyze causes and corrective actions. R control chart shows the process that has been stable or under control has a UCL (Upper Control Limit) value of 0.21, the LCL (Lower Control Limit) value of 0 and a value of CL (central line) of 0.10. Whereas 𝑥̅ chart shows the control limit with UCL value of 9.39, LCL value is 9.27 and CL value is 9.33.


2019 ◽  
Vol 6 (02) ◽  
pp. 101
Author(s):  
Mahmud Basuki

PT XYZ is a company engaged in leather tanning since 1966. The skin used by PT XYZ is sheep skin and goat skin, each of which has a composition of 50%. This study aims to analyze product defects in the process of shaving (tanning) by using statistical quality control and knowing the factors that cause product defects using Ishikwa diagrams. The results showed that there were three types of disabilities, namely tear, lorek, and thinness. By using the control chart p (p-chart) there are 5 out of control data observations with prioritization of repairs that must be done first is the type of tear, thinness, and finally lorek which analyzed the causes of product defects using Ishikawa diagram.


1994 ◽  
Vol 89 (428) ◽  
pp. 1200-1208 ◽  
Author(s):  
R. C. Gentleman ◽  
M. S. Hamada ◽  
D. E. Matthews ◽  
A. R. Wilson

1945 ◽  
Vol 152 (1) ◽  
pp. 69-75
Author(s):  
J. C. Edwards ◽  
W. A. Bennett

The purpose of the paper is to outline the numerous directions in which improvements can be sought in engineering inspection. It shows how direct improvements in efficiency can be effected by carefully planned methods of recording results, including the use of statistical quality control, by adopting the principles of time and motion study in the planning of flow of work through inspection, and in the design of gauging fixtures and the arrangement of gauges. The importance of correct personnel selection and organization is stressed, as is also the avoidance of duplication of inspection. The paper concludes by quoting figures showing the substantial reductions which have been achieved in the authors' company by a progressive application of the methods described over a period of several years.


Technometrics ◽  
2000 ◽  
Vol 42 (2) ◽  
pp. 221
Author(s):  
Eric R. Ziegel ◽  
Steven M. Zimmerman ◽  
Marjorie L. Icenogle

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