TY - GEN
T1 - Dynamics of Processing Time
AU - Flores-Cabezas, Maximo Claudio
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The general purpose of this research is to show that the loading period in the processing of a product in the production line is the key factor for customer satisfaction in terms of quality and shorter lead time. Customers are increasingly requesting varied products, with varied models and shorter lead time. The decision maker takes this demand into consideration by controlling only the loading and download periods of the line and considers that the loading time is minimal and is not a limiting factor for delivering the order in the scheduled time. The objective through the development of causal and flow scenario models is to demonstrate that this time does influence the delivery of orders to customers. For this purpose, the variables and constants and the cause-effect relationships for the optimization of the loading period are identified. This research was developed experimentally, identifying and providing concepts of variables such as: demand, product, production line, operational sequence, standard time, setup, lead time, system dynamics, causal diagram, flowchart and its formulation. The results obtained through simulations with production units of 40, 20 and less than 5 units with variable times allow to decrease production lead times by 8.3% and 7.3%, respectively..
AB - The general purpose of this research is to show that the loading period in the processing of a product in the production line is the key factor for customer satisfaction in terms of quality and shorter lead time. Customers are increasingly requesting varied products, with varied models and shorter lead time. The decision maker takes this demand into consideration by controlling only the loading and download periods of the line and considers that the loading time is minimal and is not a limiting factor for delivering the order in the scheduled time. The objective through the development of causal and flow scenario models is to demonstrate that this time does influence the delivery of orders to customers. For this purpose, the variables and constants and the cause-effect relationships for the optimization of the loading period are identified. This research was developed experimentally, identifying and providing concepts of variables such as: demand, product, production line, operational sequence, standard time, setup, lead time, system dynamics, causal diagram, flowchart and its formulation. The results obtained through simulations with production units of 40, 20 and less than 5 units with variable times allow to decrease production lead times by 8.3% and 7.3%, respectively..
KW - causal diagram
KW - flow chart
KW - lead time
KW - production line
KW - variables
UR - http://www.scopus.com/inward/record.url?scp=85139987247&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2022.1.1.199
DO - 10.18687/LACCEI2022.1.1.199
M3 - Conference contribution
AN - SCOPUS:85139987247
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
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 -