A stochastic approach for integrated production and distribution planning in dairy supply chains

Artículo

Autoría

Guarnaschelli, Armando Gabriel ; SALOMONE, HECTOR ENRIQUE ; MENDEZ, CARLOS ALBERTO

Fecha

2020

Editorial y Lugar de Edición

PERGAMON-ELSEVIER SCIENCE LTD

Revista

COMPUTERS AND CHEMICAL ENGINEERING, vol. 140 (pp. 106966-106980) PERGAMON-ELSEVIER SCIENCE LTD

Resumen Información suministrada por el agente en SIGEVA

This work addresses production and distribution planning for a real-world dairy supply chain. The planning model accounts for the production and distribution of Cheese, Yogurt, Powdered Milk and UHT milk products across a two-echelon Supply Chain. This task is undermined by the inherent variability of raw materials and finished products demand. The integrated production and distribution planning methodology introduced is based on a two-stage stochastic mixed integer linear programming formulati... This work addresses production and distribution planning for a real-world dairy supply chain. The planning model accounts for the production and distribution of Cheese, Yogurt, Powdered Milk and UHT milk products across a two-echelon Supply Chain. This task is undermined by the inherent variability of raw materials and finished products demand. The integrated production and distribution planning methodology introduced is based on a two-stage stochastic mixed integer linear programming formulation. In real-world settings the number of scenarios grows substantially; thus, a scenario reduction strategy based on clustering techniques is given. A decomposition and solving strategy is also introduced and applied to a real-world case study. This study showed that the value of the stochastic solution might rise to 21.1% above the deterministic solution. This indicates the importance of considering uncertainty for dairy production and distribution. Besides, different-size instances are tested to study the scalability of the solution approach.

Ver más Ver menos

Palabras Clave

PRODUCTION AND DISTRIBUTION PLANNINGDAIRY SUPPLY CHAINSSUPPLY CHAIN PLANNINGSTOCHASTIC PROGRAMMING

Descargue o solicite el texto completo

http://hdl.handle.net/11336/127916