Open AccessMathematical modeling for collaborative planning of two-echelon in the pineapple supply chain: A case study in San Marcos, Colombia
Author(s) -
José Ruiz-Meza,
Y Cárdenas-Díaz,
M K Royeth-Angulo,
D Mejía-Ayala
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1154/1/012011
Subject(s) - supply chain , productivity , production (economics) , operations research , supply chain management , integer programming , distribution (mathematics) , business , work (physics) , strategic planning , production planning , linear programming , industrial organization , operations management , computer science , economics , marketing , engineering , microeconomics , mathematics , mechanical engineering , mathematical analysis , algorithm , macroeconomics
In the fruits sector supply chains, several decisions must be made about logistics operations that directly affect their productivity and competitiveness. Therefore, it is necessary to work collaboratively so that all actors and echelons of the chain benefit equally in strategic, tactical, and operational decisions. In this paper, we developed a mixed-integer linear programming model for the collaborative planning of the pineapple supply chain. The model allows the articulation and planning of the production and distribution echelons, considering the production planning and the transportation process, to maximize profits and increase the efficiency of the sector. We applied the model to the pineapple supply chain in the municipality of San Marcos, Sucre, Colombia. We carried out a characterization of the current state of pineapple production and distribution. Then, the mathematical model was developed and finally, the model was evaluated by developing analysis scenarios to make efficient decisions. Optimal computational results were obtained in a 10.53% increase in utility in the pineapple supply chain.