 An application of dynamic programming to assign pressing tanks at wineriesZbigniew Palmowski and Aleksandra Sidorowicz European Journal of Operational Research, 2020, vol. 287, issue 1, 293-305 Abstract: This paper describes an application of dynamic programming to determine the optimal strategy for assigning grapes to pressing tanks in one of the largest Portuguese wineries. To date, linear programming has been employed to generate proposed solutions to analogous problems, but this approach lacks robustness and may, in fact, result in severe losses in cases of sudden changes, which frequently occur in weather-dependent wine factories. Hence, we endowed our model with stochasticity, thereby rendering it less vulnerable to such changes. Our analysis, which is based on real-world data, demonstrates that the proposed algorithm is highly efficient and, after calibration, can be used to support winery’s decision-making. The solution proposed herein could also be applied in numerous other contexts where production processes rely on outside supplies. Keywords: Dynamic programming; Optimization of wine production; Stochastic optimization; Dynamic optimization; Scheduling; Bellman equation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:287:y:2020:i:1:p:293-305 DOI: 10.1016/j.ejor.2020.04.030 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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