Operations Research and Big Data IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO)
tarafından
 
Póvoa, Ana Paula Ferreira Dias Barbosa. editor.

Başlık
Operations Research and Big Data IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO)

Yazar
Póvoa, Ana Paula Ferreira Dias Barbosa. editor.

ISBN
9783319241548

Edisyon
1st ed. 2015.

Fiziksel Niteleme
IX, 256 p. 51 illus. online resource.

Seri
Studies in Big Data, 15

İçindekiler
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.

Özet
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.

Konu Başlığı
Engineering.
 
Production management.
 
Data mining.
 
Operations research.
 
Management science.
 
Statistics.
 
Computational intelligence.
 
Operations Research, Management Science.
 
Operations Management.
 
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
 
Data Mining and Knowledge Discovery.

Yazar Ek Girişi
Póvoa, Ana Paula Ferreira Dias Barbosa.
 
de Miranda, Joao Luis.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-3-319-24154-8


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book23341-1001Q342Springer E-Book Collection