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2698. A Hybrid Solution Approach to Support Fresh Fruit Supply Chain Cold Storage and Transportation Decisions

Invited abstract in session MC-12: Agrifood supply chain decision problems, stream OR in Agriculture and Forestry .

Monday, 12:30-14:00
Room: 13 (building: 116)

Authors (first author is the speaker)

1. Nicolás Reyes
Programa de Doctorado en Sistemas de Ingeniería, Universidad de Talca
2. Marcela C. Gonzalez-Araya
Department of Industrial Engineering, Universidad de Talca
3. Wladimir E. Soto-Silva
Departamento de Computación e Informática, Universidad Católica del Maule
4. LluisM Pla
Mathematics, University of Lleida

Abstract

Planning the cold storage and transport requirements throughout the fresh fruit supply chain is essential for decision makers, in order to preserve fruit quality and reduce fruit loss. This study presents a multi-period mixed integer linear programming (MILP) model for supporting cold storage and transport decisions of the fresh fruit supply chain, aiming to minimize total costs. For solving the proposed model, a hybrid solution method is developed, which combines a constructive heuristic algorithm and an exact method to build solutions incrementally, that is, period by period. A real case study from a Chilean fruit company is used for demonstrating the suitability of the hybrid solution method, which requires much lower computational time than the exact method for finding near optimal solutions (about 0.1% of the time required by the exact method). The results show that the hybrid method finds solutions with gaps in objective function values ​​less than 2.0% compared to the objective function values ​​obtained by the exact method. These results provide more alternatives for planning cold storage and transportation requirements in the fresh fruit supply chain.

Keywords

Status: accepted

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