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A study of sustainable supply chain management problems

Grant number: 16/02203-4
Support Opportunities:Scholarships abroad - Research Internship - Master's degree
Effective date (Start): May 01, 2016
Effective date (End): July 31, 2016
Field of knowledge:Engineering - Production Engineering - Operational Research
Principal Investigator:Mariá Cristina Vasconcelos Nascimento Rosset
Grantee:Camila Pereira dos Santos Tautenhain
Supervisor: Ana Paula Ferreira Dias Barbosa Povoa
Host Institution: Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos , SP, Brazil
Research place: Instituto Superior Técnico (IST), Portugal  
Associated to the scholarship:14/27334-9 - A study of sustainable supply chain management problems, BP.MS


The sustainable supply chain problem can be represented by mathematical optimization models. The planning of these chains, in this project, aims at minimizing costs and the environmental impact and maximizing social criteria. In this way, this project considers a sustainable supply chain multiobjective optimization problem. In the literature, the developed models and methods are evaluated by case studies. In this research internship, the multiobjective optimization model modeled in the main project will be evaluated and improved with case studies of Portugal companies, with which the foreign researcher has intense contact. In addition, experiments with multiobjective optimization models introduced prior to the Research Interniship Scholarship in Exterior will be performed. Finally, data distributions based on the case studies will be produced in order to implement the instance generator provided in the main project. (AU)

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Scientific publications
(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)
TAUTENHAIN, CAMILA P. S.; BARBOSA-POVOA, ANA PAULA; NASCIMENTO, V, MARIA C.. A multi-objective matheuristic for designing and planning sustainable supply chains. COMPUTERS & INDUSTRIAL ENGINEERING, v. 135, p. 1203-1223, . (13/07375-0, 14/27334-9, 16/02203-4, 15/21660-4)
TAUTENHAIN, CAMILA P. S.; BARBOSA-POVOA, ANA PAULA; MOTA, BRUNA; NASCIMENTO, MARIA C. V.. An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem. European Journal of Operational Research, v. 294, n. 1, p. 70-90, . (13/07375-0, 14/27334-9, 16/02203-4)

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