D
Deisemara Ferreira
Researcher at Federal University of São Carlos
Publications - 30
Citations - 751
Deisemara Ferreira is an academic researcher from Federal University of São Carlos. The author has contributed to research in topics: Heuristics & Scheduling (production processes). The author has an hindex of 10, co-authored 29 publications receiving 583 citations. Previous affiliations of Deisemara Ferreira include Instituto Superior Técnico.
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Solution approaches for the soft drink integrated production lot sizing and scheduling problem
TL;DR: A mixed integer programming model that integrates production lot sizing and scheduling decisions of beverage plants with sequence-dependent setup costs and times is presented and shows that the solution approaches are capable of producing better solutions than those used by the company.
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An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains
TL;DR: Experimental results based on data from the disastrous 2011 floods and landslides in the Serrana Region of Rio de Janeiro, Brazil, show that the model’s novel characteristics help get aid faster to victims and naturally enforce fairness in its distribution to disaster areas in a humanitarian spirit.
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Heuristic approaches for the multiperiod location-transportation problem with reuse of vehicles in emergency logistics
TL;DR: Two stochastic mixed-integer programming models are developed to integrate and coordinate facility location, transportation and fleet sizing decisions in a multi-period, multi-commodity, and multi-modal context under uncertainty to improve coordination in emergency logistics.
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Relax and fix heuristics to solve one-stage one-machine lot-scheduling models for small-scale soft drink plants
TL;DR: This study represents the production planning of regional small-scale soft drink plants as a one-stage one-machine lot-scheduling model that considers stage II as the bottleneck but also takes into account a capacity constraint of stage I.
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Design of oscillating-water-column wave energy converters with an application to self-powered sensor buoys
João C.C. Henriques,J.C.C. Portillo,Luís M.C. Gato,R.P.F. Gomes,Deisemara Ferreira,António F.O. Falcão +5 more
TL;DR: In this article, the authors present a new systematic methodology for optimum design of wave energy converters, which is applied to design two self-powered sensor buoys for long term monitoring based on the oscillating water column principle.