Comparing an expected value with a multistage stochastic optimization approach for the case of wine grape harvesting operations with quality degradation

DOI10.1111/itor.12982OpenAlexW3158819924MaRDI QIDQ6079933

Sergio V. Maturana, Unnamed Author, Jorge R. Vera, Unnamed Author

Publication date: 29 September 2023

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/itor.12982

zbMATH Keywords

optimizationstochastic programminguncertainty modelingOR in agriculturequality managementharvest planningexpected value optimization

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Related Items (1)

A socially responsible decision‐making model for firms contracting with constrained farmers

Cites Work

• Operational research models applied to the fresh fruit supply chain
• Stochastic optimization models in forest planning: a progressive hedging solution approach
• Flexibility in manufacturing and services: achievements, insights and challenges
• Flexibility and decision making
• Agricultural planning of annual plants under demand, maturation, harvest, and yield risk
• The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities
• A stochastic planning framework for the discovery of complementary, agricultural systems
• Application of planning models in the agri-food supply chain: A review
• A robust optimization approach to wine grape harvesting scheduling
• The value of the stochastic solution in multistage problems
• Optimization of quality and operational costs through improved scheduling of harvest operations
• Introduction to Stochastic Programming
• Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics
• Mitigating demand uncertainty across a winery's sales channels through postponement
• The Value of Multistage Stochastic Programming in Capacity Planning Under Uncertainty
• Strategic Technology Choice and Capacity Investment Under Demand Uncertainty
• A multi-stage stochastic programming approach for production planning with uncertainty in the quality of raw materials and demand
• Scenarios and Policy Aggregation in Optimization Under Uncertainty
• A New Scenario Decomposition Method for Large-Scale Stochastic Optimization
• Pyomo -- optimization modeling in Python

This page was built for publication: Comparing an expected value with a multistage stochastic optimization approach for the case of wine grape harvesting operations with quality degradation