TY - GEN
T1 - Enhancement of the Fillrate orders ratio by a planning and control model under the PDCA approach in the printing sector
AU - Polo-Camarena, Piero Angel
AU - Real-Dueñas, Jesus Anderson
AU - Ali, Ahad
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2023
Y1 - 2023
N2 - The small business non-primary manufacturing sector has grown significantly each year. However, its growth is diminished by the problems that impact the fulfillment of orders, which represent a billing that has yet to be received for this sector. In this aspect, small companies in this area seek to have a greater fulfillment of orders in quantities to increase customer satisfaction and reduce losses. In the following research work, the low fill rate represents the main problem that generates economic losses for a small company in the printing manufacturing sector. Therefore, implementing a production planning and control model is proposed under the PDCA methodology using tools such as forecasts, MPS, MRP, and 5S to increase the fill rate in the company. This research contemplates an analysis of the production and storage planning process, where the main root causes of the problem are diagnosed to attack them with Production planning and control tools. Finally, the proposed model achieves a fill rate increase of 16.50% in the quantities of purchase orders dispatched.
AB - The small business non-primary manufacturing sector has grown significantly each year. However, its growth is diminished by the problems that impact the fulfillment of orders, which represent a billing that has yet to be received for this sector. In this aspect, small companies in this area seek to have a greater fulfillment of orders in quantities to increase customer satisfaction and reduce losses. In the following research work, the low fill rate represents the main problem that generates economic losses for a small company in the printing manufacturing sector. Therefore, implementing a production planning and control model is proposed under the PDCA methodology using tools such as forecasts, MPS, MRP, and 5S to increase the fill rate in the company. This research contemplates an analysis of the production and storage planning process, where the main root causes of the problem are diagnosed to attack them with Production planning and control tools. Finally, the proposed model achieves a fill rate increase of 16.50% in the quantities of purchase orders dispatched.
KW - 5S
KW - Fillrate orders ratio
KW - Forecast
KW - MPS
KW - MRP
KW - PDCA
KW - Printing Sector
UR - https://www.scopus.com/pages/publications/85187247029
U2 - 10.18687/LEIRD2023.1.1.118
DO - 10.18687/LEIRD2023.1.1.118
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85187247029
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023
Y2 - 4 December 2023 through 6 December 2023
ER -