Production schedule optimization in an animal feed industry
Giesbrecht Rempel, Cassandra Mabel (2021)
Giesbrecht Rempel, Cassandra Mabel
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021050628965
https://urn.fi/URN:NBN:fi-fe2021050628965
Tiivistelmä
This thesis focuses on the optimization of the supply chain for an animal feed plant, including product deliveries and the production schedule. A Capacitated Vehicle Routing Planning (CVRP) model has been developed to optimize the bulk products deliveries. The bag products demand has been obtained with the Autoregressive Integrated Moving Average (ARIMA) model, a forecast model based on time series analysis of past sales. The results from the routing planning and the sales forecast models have been used as input in the production schedule models. Here, two models, a State Task network (STN) and Resource Task Network (RTN) model have been developed for this purpose. The CVRP, STN and RTN models have been solved using the commercial optimization software Gurobi, and the ARIMA model has been solved with RStudio, an open data analysis software. It has been found that an optimal schedule can be obtained with this approach.