Data-Driven Economic Analysis of Poultry Data Used in Complex Long-Term Egg Production Systems Combining Simulation and Machine Learning
- Resource Type
- Conference
- Authors
- Gaku, Rie; Luangkesorn, Louis; Saito, Hiroshi; Takakuwa, Soemon
- Source
- 2022 Winter Simulation Conference (WSC) Winter Simulation Conference (WSC), 2022. :736-747 Dec, 2022
- Subject
- Computing and Processing
General Topics for Engineers
Economics
Analytical models
Production systems
Data analysis
Biological system modeling
Machine learning
Predictive models
- Language
- ISSN
- 1558-4305
A hybrid modeling approach was proposed and developed as a tool for the economic analysis of poultry breeds used in complex long-term egg production systems. The factors considered included both the stored and collected internal operational data that related to the within-breed historical life-cycle reliability and the related economic data that influenced egg prices and poultry life spans in a poultry farm. In the designed simulation models, the forecasted egg sales prices from a designed machine learning algorithm were incorporated to evaluate the economic analysis of specific poultry breeds. Our analysis results demonstrated that simulations could be combined with machine learning to serve as a powerful large-scale data analysis tool for the poultry breeds used in complex long-term egg production systems.