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Research Opportunity
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Research Opportunity

Operations Research


Work description

- Conduct empirical analysis to consumer behaviour using discrete choice models; - Extend production planning models to explicitly account for a MLOR (Minimum life on receipt) rule, defined by incorporating consumers' behavior at the end of the supply chain; - Develop optimization models, as well as heuristics and simulation models to solve the problem designed. - Conduct analysis of the impact of collaborative strategies between retailers and producers in the definition of a MLOR rule.

Academic Qualifications

Master in Industrial Engineering and Management.

Minimum profile required

Academic qualification with an average mark of 18/20 (or at least 90% of the maximum mark); Knowledge of Operations Research.

Preference factors

Experience and knowledge of programming; Previous participation in projects related to this area of work is a preferential factor; Good level of the English language.

Application Period

Since 01 Sep 2022 to 04 Oct 2022


Cluster / Centre

Industrial and Systems Engineering / Industrial Engineering and Management

Scientific Advisor

Sara Sofia Martins