TY - GEN
T1 - Seis Sigma y Mejora del Proceso Logístico en la Industria de Retail para Construcción
AU - Gutiérrez-Ascón, Jaime Eduardo
AU - Samanamud-Natividad, Rubén Orlando
AU - Rodríguez-Alegre, Lino Rolando
AU - Amado-Sotelo, Julio Fabián
AU - Palomino-Tiznado, Máximo Darío
AU - Barrera-Loza, Ana Doris Magdalena
AU - Arias-Pittman, José Augusto
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Objective: Apply Six Sigma to improve the logistics process of products in the construction retail industry. Material and methods: The research design is pre-experimental with two observations of applied type, longitudinal, explanatory and quantitative. The population of objects was conformed by the porcelain and ceramic line. Observation cards, historical database and simulation with Crystal Ball software were applied. Results: Six Sigma reducedthe process time from 788.49 seconds to 616.08 seconds, which was simulated 10 000 times to determine the sigma level (σ), registering the increase from 1.96 a 3.99. The forecast was made with ARIMA (1, 0, 0) to project the demand and apply the EOQ model, taking into account that The coefficient of variation of the demand was 0.07548. The order quantity and the reorder point, after simulating 15 situations of 10 000 times with Opt Quest, were 5800 and 600 unitsrespectively, thusregisteringa decrease in S/. 29 144 to S/26 460. The new distribution of the warehouse was improved by reducing displacements from 41.05to 31.78 meters. Deliveries improved errors from 2.36 to 0.97 per order. Conclusion: The application of Six Sigma improvesthe logistics process of products in the construction retail industry.
AB - Objective: Apply Six Sigma to improve the logistics process of products in the construction retail industry. Material and methods: The research design is pre-experimental with two observations of applied type, longitudinal, explanatory and quantitative. The population of objects was conformed by the porcelain and ceramic line. Observation cards, historical database and simulation with Crystal Ball software were applied. Results: Six Sigma reducedthe process time from 788.49 seconds to 616.08 seconds, which was simulated 10 000 times to determine the sigma level (σ), registering the increase from 1.96 a 3.99. The forecast was made with ARIMA (1, 0, 0) to project the demand and apply the EOQ model, taking into account that The coefficient of variation of the demand was 0.07548. The order quantity and the reorder point, after simulating 15 situations of 10 000 times with Opt Quest, were 5800 and 600 unitsrespectively, thusregisteringa decrease in S/. 29 144 to S/26 460. The new distribution of the warehouse was improved by reducing displacements from 41.05to 31.78 meters. Deliveries improved errors from 2.36 to 0.97 per order. Conclusion: The application of Six Sigma improvesthe logistics process of products in the construction retail industry.
KW - Computer simulation
KW - Logistics
KW - Quality management
UR - http://www.scopus.com/inward/record.url?scp=85140019747&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2022.1.1.789
DO - 10.18687/LACCEI2022.1.1.789
M3 - Contribución a la conferencia
AN - SCOPUS:85140019747
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Y2 - 18 July 2022 through 22 July 2022
ER -