EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
3813. Maximizing profits by performing optimal marketing decisions in pig fattening farms
Invited abstract in session TA-12: OR in Livestock farming, stream OR in Agriculture and Forestry .
Tuesday, 8:30-10:00Room: 13 (building: 116)
Authors (first author is the speaker)
| 1. | Pol Llagostera Blasco
|
| Mathematics, University of Lleida | |
| 2. | Yun Bao
|
| Mathematics, University of Lleida | |
| 3. | LluisM Pla
|
| Mathematics, University of Lleida |
Abstract
In today's highly industrialized and specialized pig production landscape, efficient decision-making is essential to navigate the complexities and maximize benefits. This study investigated the delivery of fattening pigs from farms to slaughterhouses, considering diverse growth patterns. An optimal marketing strategy is developed to maximise profits by adopting an all-in, all-out management approach. The research utilized the K-means algorithm to categorize actual growth data of fattening pigs into three clusters, each analyzed using the Gompertz animal growth model to assess growth rate, acceleration, and relative growth rate. Subsequently, a simulation of a fattening farm was conducted using a mixed integer linear programming (MILP) model to evaluate various parameters and develop optimal marketing strategies. These strategies, oriented for pig delivery schedules, cost analysis, and profitability assessment, were designed without needing individual control and weight measurement of fattening pigs. Sensitivity analyses were performed on key production factors affecting profitability, such as pig transaction price, feed price, and pig mortality during fattening, leading to the development of marketing strategies for each scenario.
Keywords
- OR in Agriculture
- Simulation
- Marketing
Status: accepted
Back to the list of papers