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Operations planning via stochastic programming and robust optimization

Abstract

In this research project, we will study two operations planning problems that arise in different contexts: (i) the pump scheduling problem and (ii) the location-distribution problem in disaster situations. These two problems will be treated under the stochastic programming and the robust optimization viewpoints, as diverse input data are uncertainty by nature. The main goals of this project involve the study and the contextualization of the problems, the formulation of mathematical models, the design of solution methods, the computational issue, and the analysis of the results. The practical contribution of this project is the developing of the mathematical models to support the decision making. It is worthy of mentioning that the quantitative approach for the operations planning in disaster situations is practically inexistent in the national research. The theoretical contribution is the study of two different methodologies to deal with uncertainty, especially because they are not commonly used by Brazilian researchers. The results of this project will be reported in scientific conferences and submitted in national and international specialized journals. (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ALEM, DOUGLAS; CURCIO, EDUARDO; AMORIM, PEDRO; ALMADA-LOBO, BERNARDO. A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches. Computers & Operations Research, v. 90, p. 125-141, FEB 2018. Web of Science Citations: 7.
ALEM, DOUGLAS; CLARK, ALISTAIR; MORENO, ALFREDO. Stochastic network models for logistics planning in disaster relief. European Journal of Operational Research, v. 255, n. 1, p. 187-206, NOV 16 2016. Web of Science Citations: 34.
MORENO, ALFREDO; ALEM, DOUGLAS; FERREIRA, DEISEMARA. Heuristic approaches for the multiperiod location-transportation problem with reuse of vehicles in emergency logistics. Computers & Operations Research, v. 69, p. 79-96, MAY 2016. Web of Science Citations: 21.
DOUGLAS ALEM; REINALDO MORABITO. Planejamento da produção sob incerteza: programação estocástica versus otimização robusta. Gestão & Produção, v. 22, n. 3, p. 539-551, Set. 2015.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.