A multi-objective approach for supporting wine grape harvest operations

Mauricio Varas, Franco Basso, Sergio Maturana, David Osorio, Raúl Pezoa

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


In this paper, we present a novel multi-objective mixed-integer linear programming model to support wine grape harvesting. The proposed model considers the opposing nature of operational cost minimization and grape quality maximization, subject to several constraints, such as grape requirements and routing decisions. Based on the operations of a winery we worked with, we develop a negotiation protocol that can lead to an agreed final harvest schedule. The protocol includes an initial Pareto optimal solution obtained through the augmented weighted Tchebycheff method. Then, the solutions are presented to the two decision-makers and, if no agreement is reached, we conduct an iterative process, which includes finding Pareto optimal solutions in a neighborhood using the augmented ∊-constraint method. Finally, we choose, within this set, the solution following a substitution rate criteria. We illustrate our procedure using an educational example.

Original languageEnglish
Article number106497
JournalComputers and Industrial Engineering
StatePublished - Jul 2020


  • Grape harvest
  • Interactive methods
  • Multi-objective optimization
  • Wine industry


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