Oscar Salviano Silva Filho

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In this paper, an aggregate production planning problem is formulated as a chance-constrained stochastic control problem under imperfect information of states (i.e., the inventory levels). Using the Kalman filter device, the mean and covariance of state variables are estimated. Then the certainty equivalence principle is applied, resulting in a(More)
The Public Software Ecosystem (PSE) is one of the foundations of the Brazilian policy for use, development and innovation in information technology. The PSE brings together thousands of people spread in communities of users, developers and service providers; all of them are interconnected, working for the improvement of the artifacts and opening(More)
This paper presents a proposal of a collaborative model for a supply chain of a blood bank, which uses the concept of Collective Intelligence to integrate the various actors, which include donors, hospitals, clinics and government. They need to share information about: (i) types of blood in supply channel, (ii) production and inventory needs of the Blood(More)
Demand for final products has grown significantly worldwide, particularly, due to the increase of emerging countries on the consumer market. The big problem is that consumer of energy and use of raw material increase in parallel. Consequently, an unsustainable environmental situation will be observed on the next future as arguing some researchers. In order(More)
With the proliferation of mobile devices, the collaborative way to share information and exchange knowledge within ecosystems increases exponentially the data volume and related issues (openness, sustainability, self-organization, and evolutionary model). Shared information needs to be better understood to produce an organizational knowledge for the overall(More)
This paper deals with a chance-constrained stochastic production-planning problem under hypotheses of imperfect information of inventory variables. Assuming a linear-Gaussian nature to the inventory balance system, the mean and covariance, statistical variables, are estimated from the Kalman filter equations. As a consequence, an approach – originally(More)
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