Optimizing production in small-scale beef cattle farm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F20%3A82133" target="_blank" >RIV/60460709:41110/20:82133 - isvavai.cz</a>
Result on the web
<a href="https://mme2020.mendelu.cz/" target="_blank" >https://mme2020.mendelu.cz/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Optimizing production in small-scale beef cattle farm
Original language description
The focus of our contribution is optimization of planning and breeding in a small-scale beef cattle farm in a long-term horizon. We present a vast linear programming model capturing all categories of cattle. The overall balance of cattle categories is influenced in a positive sense by the reproduction cycle and purchasing of heavily pregnant heifers in a monthly sense. The decrease in the overall state of the herd is caused by herd turnover and sales in the meat sector. Our intention is to design a mathematical model and find through linear programming such balance that gen-erates the maximum and stable profit in a long-term horizon. The constraints are determined by the availability of space in cattle stables and herd turnover. We max-imize the profit over sales of meat bulls and meat cows. The life cycle of all catego-ries is captured by a tree graph. On its basis, the mathematical model of linear opti-mization is presented in detail. We optimize according to various scenarios of pur-chases and sal
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
38th International Conference on Mathematical Methods in Economics Conference Proceedings
ISBN
978-80-7509-734-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
166-172
Publisher name
Mendel university in Brno
Place of publication
Brno
Event location
Brno
Event date
Sep 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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