eFat, a prototype of a Cloud decision support system for optimal delivery of fattened pigs to the abattoir

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Issue date
2019-06Author
Moix Atienza, Mireia
Other authors
Mateo, Jordi
Universitat de Lleida. Escola Politècnica Superior
Suggested citation
Moix Atienza, Mireia;
.
(2019)
.
eFat, a prototype of a Cloud decision support system for optimal delivery of fattened pigs to the abattoir.
http://hdl.handle.net/10459.1/66746.
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Show full item recordAbstract
This project consists in developing a decision support system and its integration in a
cloud platform to offer optimization models as a service integrated in a sole application
accessible from different devices. It has two parts due to the double degree in Computer
Engineering and Administration and Business Management requirement.
The part related to the Administration and Business Management degree is based on a
mixed integer linear-programming (MILP) model to support marketing decisions on
fattening farms without individual weight control. It includes the development of the
running program to solve the MILP model and the assessment for specific factors. The
objective is to determine the optimal delivery time and quality bonus of the fattened
pigs to the slaughterhouse and thus, getting the best value for the producer.
This mathematical model maximizes the revenue and reduces the risk of neglecting
opportunity costs by taking into account important key factors such as: homogeneity of
the batch, price-grid system, transportation cost, among others. The analysis performed
on this study demonstrated the importance of these different factors that affect
significantly on the optimal marketing policy of fattening farms, and also in a vertically
integrated company.
The second part is related to the Computer Engineering degree and concerns the
development of a cloud decision support system (cDSS). The cDSS takes form of a
client application that allows users to run the mathematical model introduced previously
and through it, depict their best marketing decisions for a pig farmer. Through this
application, the farmer can store data and update information of the farms, make
requests from different devices or visualize an output display of the results obtained
from the model.
European research projects
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