scholarly journals Modelos empíricos aplicados a análise da capacidade produtiva: Aplicações em cenários de incertezas / Empirical models applied to productive capacity analysis: Applications in uncertainty scenarios

2021 ◽  
Vol 7 (12) ◽  
pp. 111940-111959
Author(s):  
André Luiz Marques Serrano ◽  
Lucas Oliveira Gomes Ferreira ◽  
Nara Cristina Ferreira Mendes ◽  
Pedro Paulo Murce Meneses Cavalcante ◽  
Clovis Neumann
Keyword(s):  
Empirical Models ◽  
Capacity Analysis ◽  
Productive Capacity

Integrated system reliability and productive capacity analysis of a production line. A case study for a Chilean mining process

2011 ◽  
Vol 226 (3) ◽  
pp. 305-317 ◽  
Author(s):  
P Viveros ◽  
E Zio ◽  
F Kristjanpoller ◽  
A Arata
Keyword(s):  
System Reliability ◽  
Production Line ◽  
Integrated Approach ◽  
Integrated System ◽  
Capacity Analysis ◽  
Productive Capacity ◽  
Northern Chile ◽  
Mining Company ◽  
Process Productivity

The analysis of a production line requires the consideration of its reliability and productive capacity since they have a direct influence on the expected levels of performance. These factors have an intrinsic stochastic behaviour which must be accounted for in the analysis. This paper proposes an integrated approach based on Monte Carlo simulation which is tested on a case study concerning the production line of a private mining company located in northern Chile. Specifically, the primary, secondary, and tertiary crushing processes are analysed in detail. Actual maintenance and operation data for 16 months of operation are considered in the case study. A tailored simulation model is developed that is able to jointly estimate the reliability and productivity of the process. The integration of these two aspects allows situations in which equipment becomes unavailable to be identified and this can improve business continuity and process productivity.

Proposal of Capacity Analysis in Wireless Sensor Networks with Multi-Hop Transmissions and Hidden Nodes

2015 ◽  
Vol E98.B (9) ◽  
pp. 1749-1757
Author(s):  
Yun WEN ◽  
Kazuyuki OZAKI ◽  
Hiroshi FUJITA ◽  
Teruhisa NINOMIYA ◽  
Makoto YOSHIDA
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Capacity Analysis ◽  
Hidden Nodes

Capacity Analysis for Correlated Multi-Hop MIMO Channels under Colored Noise

2015 ◽  
Vol 1 ◽  
pp. 41
Author(s):  
Nguyen N. Tran ◽  
Ha X. Nguyen
Keyword(s):  
Computational Complexity ◽  
Mutual Information ◽  
Closed Form Solution ◽  
Optimal Solution ◽  
Form Solution ◽  
Maximization Problem ◽  
Capacity Analysis ◽  
Mimo Channels ◽  
Average Mutual Information ◽  
Channel Output

A capacity analysis for generally correlated wireless multi-hop multi-input multi-output (MIMO) channels is presented in this paper. The channel at each hop is spatially correlated, the source symbols are mutually correlated, and the additive Gaussian noises are colored. First, by invoking Karush-Kuhn-Tucker condition for the optimality of convex programming, we derive the optimal source symbol covariance for the maximum mutual information between the channel input and the channel output when having the full knowledge of channel at the transmitter. Secondly, we formulate the average mutual information maximization problem when having only the channel statistics at the transmitter. Since this problem is almost impossible to be solved analytically, the numerical interior-point-method is employed to obtain the optimal solution. Furthermore, to reduce the computational complexity, an asymptotic closed-form solution is derived by maximizing an upper bound of the objective function. Simulation results show that the average mutual information obtained by the asymptotic design is very closed to that obtained by the optimal design, while saving a huge computational complexity.

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