TY - GEN
T1 - Lean Optimization Model for Managing the Yield of Pima Cotton (Gossypium Barbadense) in Small-and Medium-Sized Farms in the Peruvian Coast
AU - Rojas, Claudia
AU - Quispe, Grimaldo
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - This study proposes a lean manufacturing-based optimization model to standardize 'Pima cotton' crop yields in the Peruvian coast areas toward the north of Piura as the study area. The study also discusses how Pima cotton is grown in the Peruvian cost areas. This is represented in 2 stages: Diagnosis and development of the cotton crop model. The diagnosis stage consists of 3 steps, and the development stage consists of 2 steps. The interrelation of each stage has been identified with the lean manufacturing principle for the improvement of crop yield. Results showed that to increase current crop yield in Piura to 172 bushels/ha as well as determine the quantities of resources and raw materials required considering a standardized crop production process. The limitations of the research depend on the climatic conditions in Peru. The main contribution of this research is to propose a model using which farmers may produce Pima cotton by utilizing the indicators proposed to increase the process control. In addition, the paper proposes a standardized crop production process that farmers must follow, supported by a mathematical model simulation.
AB - This study proposes a lean manufacturing-based optimization model to standardize 'Pima cotton' crop yields in the Peruvian coast areas toward the north of Piura as the study area. The study also discusses how Pima cotton is grown in the Peruvian cost areas. This is represented in 2 stages: Diagnosis and development of the cotton crop model. The diagnosis stage consists of 3 steps, and the development stage consists of 2 steps. The interrelation of each stage has been identified with the lean manufacturing principle for the improvement of crop yield. Results showed that to increase current crop yield in Piura to 172 bushels/ha as well as determine the quantities of resources and raw materials required considering a standardized crop production process. The limitations of the research depend on the climatic conditions in Peru. The main contribution of this research is to propose a model using which farmers may produce Pima cotton by utilizing the indicators proposed to increase the process control. In addition, the paper proposes a standardized crop production process that farmers must follow, supported by a mathematical model simulation.
KW - Crop Yield Measurement
KW - Lean Manufacturing
KW - Linear Programming
KW - Theory of Constraints
UR - https://www.scopus.com/pages/publications/85061023841
U2 - 10.1109/CONIITI.2018.8587062
DO - 10.1109/CONIITI.2018.8587062
M3 - Contribución a la conferencia
AN - SCOPUS:85061023841
T3 - 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
BT - 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
A2 - Lozano-Garzon, Carlos Andres
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th Innovation and Trends in Engineering Congress, CONIITI 2018
Y2 - 3 October 2018 through 5 October 2018
ER -