TY - GEN
T1 - Service model based on lean tools to improve order fulfillment rate in a SMEs in the commercial sector
AU - Caso-Vicente, Katterin
AU - Galarreta-Bellido, Marina
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 commercial sector has been growing steadily in recent years. However, there are problems within logistics that are detrimental to customer satisfaction; the objective of companies is to deliver orders on time and avoid large losses. That said, in the present research, the problem that generates the greatest economic losses for the company is the high percentage of unfulfilled orders. The objective is to reduce the technical gap of unfulfilled orders by implementing a model based on the Lean methodology, through the application of 5S, ABC and Kanban; achieving the improvement of the objectives of the proposed indicators. The research focuses on a warehouse where the root causes of the problem are identified and quantified, to subsequently attack them through Lean tools. Finally, through the use of Arena software simulation, it was demonstrated that the proposed model achieves a reduction of 38.8%, 12.32% and 47.23% in picking times, registration to the system and total simulation time, respectively, thus improving the fulfillment of deliveries to the customer until reaching the target of 5%.
AB - The commercial sector has been growing steadily in recent years. However, there are problems within logistics that are detrimental to customer satisfaction; the objective of companies is to deliver orders on time and avoid large losses. That said, in the present research, the problem that generates the greatest economic losses for the company is the high percentage of unfulfilled orders. The objective is to reduce the technical gap of unfulfilled orders by implementing a model based on the Lean methodology, through the application of 5S, ABC and Kanban; achieving the improvement of the objectives of the proposed indicators. The research focuses on a warehouse where the root causes of the problem are identified and quantified, to subsequently attack them through Lean tools. Finally, through the use of Arena software simulation, it was demonstrated that the proposed model achieves a reduction of 38.8%, 12.32% and 47.23% in picking times, registration to the system and total simulation time, respectively, thus improving the fulfillment of deliveries to the customer until reaching the target of 5%.
UR - https://www.scopus.com/pages/publications/85172407525
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85172407525
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 -