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Optimization of Vineyard Task Planning: Constraint Programming Based Tool with Customizable Domain

Authors: Alex Pujol; Josep Pijuan; Marta Otero Nalbán; Raimón Fabregat; Montse Torres; Antonio Dente; Fernando Alves;

Optimization of Vineyard Task Planning: Constraint Programming Based Tool with Customizable Domain

Abstract

Producing grapes for wine is a complex and delicate process that requires meticulous execution of numerous tasks to reach the desired quality and yield. Wine producers dedicate many resources to specialized teams, from vine pruning in the early months of the year to harvesting when the fruit is ripe. Scheduling the available workforce and resources to complete these tasks optimally is of utmost importance. In this context, parting from an initial schedule could assist in the decision-making process and enhance the outcomes. With this objective, the Vitigeoss Business Service has been developed within the context of the Vitigeoss project. It is a generalized scheduling tool based on Constraint Programming, which assigns tasks to work teams on specific timeslots. For this, it uses First Fit Decreasing and Local Search as search algorithms. It also offers the capabilities of choosing between a set of constraints defined alongside wine producers, and focusing on one of three objective functions: time, cost, and environmental impact. In this document, a series of updates on the constraint decision process and customization of the domain are introduced, and its implications for the results obtained are analized. The Vitigeoss Business Service was available during the 2023 campaign, and its results have been validated with actual planning data from three use cases, showing improvements in the use of resources and finalization time.

Keywords

constraint programming, task scheduling, cost function, optimisation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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