TY - GEN
T1 - Reduction of delivery times for orders in small and medium-sized paint businesses based on Standard Work and Raw Material Management
AU - Montoya, Luis
AU - Avalos, Martin
AU - Macassi, Iliana
N1 - Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2023
Y1 - 2023
N2 - The paint industry at the SME level concentrates on various critical processes in the production process. This is due to the lack of planning and engineering support systems, which result in issues such as low on-time delivery rates, defective products, stockouts, and others. In this context, a case study is presented, which is 24% below the standard for on-time deliveries. To address this issue, a production model based on Standard Work and Raw Material Management is proposed for a paint SME in Peru. The diagnosis is carried out through a time and activity analysis that encompasses paint manufacturing, as well as the analysis of production stops due to raw material shortages. The model will be implemented through a hybrid approach that combines implementation and simulation. Through this approach, the production cycle time is optimized by 33.6% (from 301.13 minutes to 225.39 minutes), and therefore, the production capacity is increased by 13.51% (from 1377 gallons/shift to 1563 gallons/shift). Additionally, stockouts are reduced from 6.52% to 0.22%, and On-Time Delivery (OTD) rates improve by 17.85%.
AB - The paint industry at the SME level concentrates on various critical processes in the production process. This is due to the lack of planning and engineering support systems, which result in issues such as low on-time delivery rates, defective products, stockouts, and others. In this context, a case study is presented, which is 24% below the standard for on-time deliveries. To address this issue, a production model based on Standard Work and Raw Material Management is proposed for a paint SME in Peru. The diagnosis is carried out through a time and activity analysis that encompasses paint manufacturing, as well as the analysis of production stops due to raw material shortages. The model will be implemented through a hybrid approach that combines implementation and simulation. Through this approach, the production cycle time is optimized by 33.6% (from 301.13 minutes to 225.39 minutes), and therefore, the production capacity is increased by 13.51% (from 1377 gallons/shift to 1563 gallons/shift). Additionally, stockouts are reduced from 6.52% to 0.22%, and On-Time Delivery (OTD) rates improve by 17.85%.
KW - lean manufacturing
KW - on-time delivery
KW - paint manufacturing
KW - raw material management
KW - standard work
UR - https://www.scopus.com/pages/publications/85172404598
M3 - Contribución a la conferencia
AN - SCOPUS:85172404598
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
Y2 - 19 July 2023 through 21 July 2023
ER -