Design of strategy for overweight control in the barquillo reference in a biscuit company
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quality, control, standardization, optimization, processes
The main purpose of the mass consumption company is the manufacture of biscuits products that stand out in terms of weight, flavor, color, texture, guaranteeing consumers a quality product. The process is subject to a series of random factors that make the products not exactly equal in weight, this variability is clearly undesirable for the organization. This work proposes to carry out the revision of parameters and standards that make the process stricter and allow to improve its capacity process. The data review is carried out using statistical tools that make it possible to demonstrate the behavior of the process and identify critical control points and seek strategic improvements. With the treatment of data, using control graphs and estimation of process capabilities is found that there is no statistical control, locating points beyond 3 standard deviations of the central line. Through the design of experiments, it is defined which of the factors (humidity, quantity and temperature of the water) has greater impact on the process and the optimal conditions of these to reach the objective value of weight. Through the design of experiments, patterns, valid and objective prediction and optimization responses were obtained, which are obtained from the optimal configuration of each of the factors to reach the objective value and achieve overweight control.
L. Republica, "Nutresa se ubica como líder en el mercado de las galletas dulces en Colombia", 2019. [En línea]. Disponible en: https://www.larepublica.co/consumo/nutresa-y-alpina-suman-casi-20-del-mercado-de-las-galletas-dulces-en-colombia-2858622
A. Ruiz-Falcó Rojas, Control Estadistico de Proceso, Madrid: Universidad Pontifica Comillas Madrid, 2006
E. E. Díaz, C. Díaz, L. C. Flores y S. Heyser, "Estudio de la Variabilidad de Proceso en el Área de envasado de un producto en polvo", Información tecnológica, vol. 20, no. 6, pp. 105−113, 2009. doi:10.1612/inf.tecnol.4105it.08
S. M. G. Castro, "Reducción del sobrepeso en masas procesadas por la máquina", Universidad de San Buenaventura, Santiago de Cali, 2017
S. Sousa, N. Rodrigues y E. Nunes, "Evolution of process capability in a manufacturing process", J. Manag. Anal, vol. 5, no. 2, pp. 95-115, 2018
M. A. Abtew, S. Kropi, Y. Hong y L. Pu, "Implementación of Statical Process Control (SPC) in the Sewing Section of Garment Industry for Quality Improvement", Autex Res J, vol. 18, nº 2, pp. 160-172, 2018
A. Haq, J. Brown y E. Moltchanova, "New Synthetic Control Charts for Monitorings Process Mean and Process Dispersión", Qual Reliab Eng, vol. 31, nº 8, pp. 1305-1325, 2015
R. d. l. V. S. Humberto Gutierrez Pulido, Control estadistico de la Calidad y seis Sigma, Mexico D.F: McGRAW-HILL/INTERAMERICANA EDITORES, S.A. DE C.V, 2004
Minitab, "Introuccion mINITAB 19 para windows", 2019. [En línea]. Disponible en: https://www.minitab.com/uploadedFiles/Documents/getting-started/MinitabGettingStarted_ESMX.pdf. [Último acceso: 26 08 2019]
D. C. Montgomery, Control Estadistico de la Calidad, Limusa, SA. de C.V, 2005.
R. Mahshid, Z. Mansourvar y H. N. Hansen, "Tolerance analysis in manufacturing using process capability ratio with measurement uncertainty", precis Eng, vol. 52, no. August, pp. 201-210, 2018
Minitab, "Soporte de Minitab", 2018. [En línea]. Disponible en: https://support.minitab.com/es-mx/minitab/18/getting-started/designing-an-experiment/. [Último acceso: 19 julio 2019]
D. d. E. (DOE)
R. Caro y D. Gonzalez, "Control estadístico de Procesoso", pp. 1-74, 2006
G. O. Merli, "Gestión de la calidad: Control Estadístico y Seis Sigma", Telos, vol. 14, no. 2, pp. 269-274, 2012
L. E. C. Navarro, "SlidePlayer" 2019. [En línea]. Disponible: https://slideplayer.es/slide/6177326/. [Último acceso: 18 julio 2019]
H. D. Rendon, Control Estadistico de Calidad, Medellin: Universidad Nacional de Colombia-Sede Medellin, 2013
R. d. l. V. S. Humberto Gutierres Pulido, Analisis y Diseños de experimentos, Mexico D.F: McGRAW- HILL/INTERAMERICANA EDITORES, S.A de C.V., 2003
D. G. G. Roberto Garro Paz, "Control Estadistico de Procesos de Administracion de las Operaciones", Universidad Nacional Mar de la Plata, 2019, p. 20
Software Mintab, Minitab, 2019
The main purpose of the mass consumption company is the manufacture of biscuits products that stand out in terms of weight, flavor, color, texture, guaranteeing consumers a quality product. The process is subject to a series of random factors that make the products not exactly equal in weight, this variability is clearly undesirable for the organization. This work proposes to carry out the revision of parameters and standards that make the process stricter and allow to improve its capacity process. The data review is carried out using statistical tools that make it possible to demonstrate the behavior of the process and identify critical control points and seek strategic improvements. With the treatment of data, using control graphs and estimation of process capabilities is found that there is no statistical control, locating points beyond 3 standard deviations of the central line. Through the design of experiments, it is defined which of the factors (humidity, quantity and temperature of the water) has greater impact on the process and the optimal conditions of these to reach the objective value of weight. Through the design of experiments, patterns, valid and objective prediction and optimization responses were obtained, which are obtained from the optimal configuration of each of the factors to reach the objective value and achieve overweight control.
L. Republica, "Nutresa se ubica como líder en el mercado de las galletas dulces en Colombia", 2019. [En línea]. Disponible en: https://www.larepublica.co/consumo/nutresa-y-alpina-suman-casi-20-del-mercado-de-las-galletas-dulces-en-colombia-2858622
A. Ruiz-Falcó Rojas, Control Estadistico de Proceso, Madrid: Universidad Pontifica Comillas Madrid, 2006
E. E. Díaz, C. Díaz, L. C. Flores y S. Heyser, "Estudio de la Variabilidad de Proceso en el Área de envasado de un producto en polvo", Información tecnológica, vol. 20, no. 6, pp. 105−113, 2009. doi:10.1612/inf.tecnol.4105it.08
S. M. G. Castro, "Reducción del sobrepeso en masas procesadas por la máquina", Universidad de San Buenaventura, Santiago de Cali, 2017
S. Sousa, N. Rodrigues y E. Nunes, "Evolution of process capability in a manufacturing process", J. Manag. Anal, vol. 5, no. 2, pp. 95-115, 2018
M. A. Abtew, S. Kropi, Y. Hong y L. Pu, "Implementación of Statical Process Control (SPC) in the Sewing Section of Garment Industry for Quality Improvement", Autex Res J, vol. 18, nº 2, pp. 160-172, 2018
A. Haq, J. Brown y E. Moltchanova, "New Synthetic Control Charts for Monitorings Process Mean and Process Dispersión", Qual Reliab Eng, vol. 31, nº 8, pp. 1305-1325, 2015
R. d. l. V. S. Humberto Gutierrez Pulido, Control estadistico de la Calidad y seis Sigma, Mexico D.F: McGRAW-HILL/INTERAMERICANA EDITORES, S.A. DE C.V, 2004
Minitab, "Introuccion mINITAB 19 para windows", 2019. [En línea]. Disponible en: https://www.minitab.com/uploadedFiles/Documents/getting-started/MinitabGettingStarted_ESMX.pdf. [Último acceso: 26 08 2019]
D. C. Montgomery, Control Estadistico de la Calidad, Limusa, SA. de C.V, 2005.
R. Mahshid, Z. Mansourvar y H. N. Hansen, "Tolerance analysis in manufacturing using process capability ratio with measurement uncertainty", precis Eng, vol. 52, no. August, pp. 201-210, 2018
Minitab, "Soporte de Minitab", 2018. [En línea]. Disponible en: https://support.minitab.com/es-mx/minitab/18/getting-started/designing-an-experiment/. [Último acceso: 19 julio 2019]
D. d. E. (DOE)
R. Caro y D. Gonzalez, "Control estadístico de Procesoso", pp. 1-74, 2006
G. O. Merli, "Gestión de la calidad: Control Estadístico y Seis Sigma", Telos, vol. 14, no. 2, pp. 269-274, 2012
L. E. C. Navarro, "SlidePlayer" 2019. [En línea]. Disponible: https://slideplayer.es/slide/6177326/. [Último acceso: 18 julio 2019]
H. D. Rendon, Control Estadistico de Calidad, Medellin: Universidad Nacional de Colombia-Sede Medellin, 2013
R. d. l. V. S. Humberto Gutierres Pulido, Analisis y Diseños de experimentos, Mexico D.F: McGRAW- HILL/INTERAMERICANA EDITORES, S.A de C.V., 2003
D. G. G. Roberto Garro Paz, "Control Estadistico de Procesos de Administracion de las Operaciones", Universidad Nacional Mar de la Plata, 2019, p. 20
Software Mintab, Minitab, 2019
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