Life Cycle Assessment for Long-Term Production Operation
Published in DAAAM International Scientific Book 2021, 2021
In this study, associative digital technologies, machine learning, and simulation are used to process both operational and related economic data from an actual poultry farm. The objective is to quickly assess and predict the inherent reliability of long-term egg production operations based on the egg production life cycle. First, a machine learning algorithm is applied to forecast egg trade prices between poultry farms and egg dealers based on historical economic data. Then, designed simulation models are applied along with collected operational data to assess the inherent reliability of historical life cycles. As a result, machine learning and simulation technological advancements are powerful and effective for associative utilization of large volumes of both related economic and operational data.
Recommended citation: Gaku, R., Luangkesorn, L., & Takakuwa, S. (2021). 'Life Cycle Assessment for Long-Term Production Operation.' DAAAM International Scientific Book 2021, Chapter 11, pp. 131–138.
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