Operations Research and Big Data

IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO)

Ana Paula Ferreira Dias Barbosa Povoa (Redaktør) ; Joao Luis de Miranda (Redaktør)

Serie: Studies in Big Data 15

The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. Les mer
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Vår pris: 1350,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 21 dager

Om boka

The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses.

The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources.

The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.

Fakta

Innholdsfortegnelse

A model to minimize costs and promote species persistence under climate change.- A Fix-and-Relax algorithm for solving parallel and sequential versions of a multi-period multi- product closed loop supply chain design and operation planning model.- Efficiency in
Increasing Returns of Scale Frontier.- Modeling inter-sector health policy
options and health gains in a long-term care network: a location-allocation
stochastic planning approach.- Optimization of construction and demolition
waste management: Application to the Lisbon Metropolitan Area.