Analytical Method for Biomonitoring of PAH Using Leaves of Bitter Orange Trees (Citrus aurantium): a Case Study in South Spain

2016 ◽  
Vol 227 (10) ◽  
Author(s):  
D. Fasani ◽  
P. Fermo ◽  
P. J. Barroso ◽  
J. Martín ◽  
J. L. Santos ◽  
...  
Author(s):  
Koki Ho ◽  
Hao Chen ◽  
Harrison Kim

This paper analyzes the value of staged deployment for complex infrastructure system and propose a concept of bootstrapping staged deployment. Staged deployment has been well known for its advantage of providing flexibility in an uncertain environment. In contrast, this paper demonstrates that the proposed bootstrapping staged deployment can even add values in a deterministic environment. The key idea of bootstrapping staged deployment is to have the previously deployed stages support the subsequent deployment. We develop an analytical model to demonstrate the effects of bootstrapping staged deployment with a case study in space exploration. Our analysis results show that with a well-coordinated deployment plan, staged deployment can overperform single-stage deployment even in a deterministic environment, and that there is an optimal number of stages in terms of lifecycle cost under certain conditions. Our method can find the analytical expression for the optimal number of stages and its deployment strategies. The general findings from the proposed concept and analytical method can advance our knowledge about systems staged deployment, and make operational planning of resource generation infrastructure more efficient.


2007 ◽  
Vol 55 (24) ◽  
pp. 9769-9775 ◽  
Author(s):  
Bryant C. Nelson ◽  
Karsten Putzbach ◽  
Katherine E. Sharpless ◽  
Lane C. Sander

2005 ◽  
Vol 29 (4) ◽  
pp. 443-446 ◽  
Author(s):  
D B Allison ◽  
G Cutter ◽  
E T Poehlman ◽  
D R Moore ◽  
S Barnes

2008 ◽  
Vol 46 (1) ◽  
pp. 65-72 ◽  
Author(s):  
Sabina Rossini Oliva ◽  
Benito Valdés ◽  
Maria Dolores Mingorance

2013 ◽  
Vol 378 ◽  
pp. 367-374 ◽  
Author(s):  
Andrey A. Kutin ◽  
Mikhail Turkin

This paper introduces an analytical method for evaluating the performance of closed loop manufacturing systems with unreliable machines and finite buffers. The method involves transforming an arbitrary loop into one without thresholds and then evaluating the transformed loop using a new set of decomposition equations. It is more accurate than existing methods and is effective for a wider range of cases. The convergence reliability, and speed of the method are also discussed. In addition, observations are made on the behavior of closed loop production systems under various conditions. Finally, the method is used in a case study to design a flexible manufacturing system for production of aerospace parts.


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