Joint Ship Schedule Design and Sailing Speed Optimization for a Single Inland Shipping Service with Uncertain Dam Transit Time

2018 ◽  
Vol 52 (6) ◽  
pp. 1570-1588 ◽  
Author(s):  
Zhijia Tan ◽  
Yadong Wang ◽  
Qiang Meng ◽  
Zhixue Liu
Keyword(s):  
Transit Time ◽  
Speed Optimization ◽  
Schedule Design

Liner Shipping Service Planning Under Sulfur Emission Regulations

2020 ◽  
Author(s):  
Shuaian Wang ◽  
Dan Zhuge ◽  
Lu Zhen ◽  
Chung-Yee Lee
Keyword(s):  
Operations Management ◽  
Operating Cost ◽  
Liner Shipping ◽  
Service Planning ◽  
Planning Problem ◽  
Marine Fuel ◽  
Speed Optimization ◽  
Schedule Design ◽  
Low Sulfur ◽  
Fleet Deployment

Air emissions from ships have become an important issue in sustainable shipping because of the low quality of the marine fuel consumed by ships. To reduce sulfur emissions from shipping, the International Maritime Organization has established emission control areas (ECAs) where ships must use low-sulfur fuel with at most 0.1% sulfur or take equivalent emission-reduction measures. The use of low-sulfur fuel increases the costs for liner shipping companies and affects their operations management. This study addresses a holistic liner shipping service planning problem that integrates fleet deployment, schedule design, and sailing path and speed optimization, considering the effect of ECAs. We propose a nesting algorithmic framework to address this new and challenging problem. Semianalytical solutions are derived for the sailing path and speed optimization problem, which are used in the schedule design. A tailored algorithm is applied to solve schedule design problems, and the solutions are used in fleet deployment. The fleet deployment problem is then addressed by a dynamic programming-based pseudo-polynomial time algorithm. Numerical experiments demonstrate that considering the effect of ECAs in liner shipping operations management can reduce over 2% of the costs, which is significant considering that the annual operating cost of a shipping company’s network can be as high as several billion dollars.

Cerebral vascular mean transit time determined by PET and DSC-MRI

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S676-S676
Author(s):  
Masanobu Ibaraki ◽  
Hiroshi Ito ◽  
Eku Shimosegawa ◽  
Hideto Toyoshima ◽  
Keiichi Ishigame ◽  
...  
Keyword(s):  
Transit Time ◽  
Mean Transit Time ◽  
Dsc Mri ◽  
Cerebral Vascular

Transit-time effects in saturated absorption resonances

1986 ◽  
Vol 47 (12) ◽  
pp. 2025-2039 ◽  
Author(s):  
A. Titov ◽  
Yu. Malyshev ◽  
Yu. Rastorguev
Keyword(s):  
Transit Time ◽  
Time Effects ◽  
Saturated Absorption

Correlation of Data Obtained by Radiocardiography and Right-Heart Catheterization in Cardiac Patients

1968 ◽  
Vol 07 (02) ◽  
pp. 125-129
Author(s):  
J. Měštan ◽  
V. Aschenbrenner ◽  
A. Michaljanič
Keyword(s):  
Capillary Pressure ◽  
Transit Time ◽  
Right Heart Catheterization ◽  
Heart Catheterization ◽  
Right Heart ◽  
Pulmonary Capillary ◽  
Filling Time ◽  
Pulmonary Capillary Pressure ◽  
The Mean ◽  
Pulmonary Transit Time

SummaryIn patients with acquired and congenital valvular heart disease correlations of the parameters of the radiocardiographic curve (filling time of the right heart, minimal pulmonary transit time, peak-to-peak pulmonary transit time, and the so-called filling time of the left heart) with the mean pulmonary artery pressure and the mean pulmonary “capillary” pressure were studied. Further, a regression equation was determined by means of which the mean pulmonary “capillary” pressure can be predicted.

Measurement of Renal Parenchymal Transit Time of 99mTc-MAG3 Using Factor Analysis

1990 ◽  
Vol 29 (04) ◽  
pp. 170-176 ◽  
Author(s):  
M. V. Yester ◽  
Eva Dubovsky ◽  
C. D. Russell
Keyword(s):  
Factor Analysis ◽  
Transit Time ◽  
Region Of Interest ◽  
Initial Slope ◽  
Cortical Region ◽  
Time Activity ◽  
Appearance Time ◽  
Activity Curve ◽  
System Factor ◽  
Collecting System

Renal parenchymal transit time of the recently introduced radiopharmaceutical 99mTc-MAG3 (mercaptoacetylglycylglylcylglycinel) was measured in 37 kidneys, using factor analysis to separate parenchymal activity from that in the collecting system. A new factor algorithm was employed, based on prior interpolative background subtraction and use of the fact that the initial slope of the collecting system factor time-activity curve must be zero. The only operator intervention required was selection of a rectangular region enclosing the kidney (by identifying two points at opposite corners). Transit time was calculated from the factor time-activity curves both by deconvolution of the parenchymal factor curve and also by measuring the appearance time for collecting system activity from the collecting system factor curve. There was substantial agreement between the two methods. Factor analysis led to a narrower range of normal values than a conventional cortical region-of-interest method, presumably by decreasing crosstalk from the collecting system. In preliminary trials, the parenchymal transit time did not well separate four obstructed from seventeen unobstructed kidneys, but it successfully (p <0.05) separated six transplanted kidneys with acute rejection or acute tubular necrosis from 10 normal transplants.

HEPATIC TRANSIT TIME ALLOWS DIFFERING BETWEEN BENIGN AND MALIGNANT LIVER LESIONS

2005 ◽  
Vol 26 (S 1) ◽  
Author(s):  
T Haendl ◽  
D Strobel ◽  
N Steinerbrunner ◽  
M Frieser ◽  
EG Hahn ◽  
...  
Keyword(s):  
Transit Time ◽  
Liver Lesions ◽  
Malignant Liver ◽  
Malignant Liver Lesions

Non-Contact Video Based Estimation of Pulse Transit Time using Quantitation Method of Hemoglobin Level

2016 ◽  
Vol 2016 (1) ◽  
pp. 71-75 ◽  
Author(s):  
Munenori Fukunishi ◽  
Taku Yonezawa ◽  
Genki Okada ◽  
Kouki Kurita ◽  
Shoji Yamamoto ◽  
...  
Keyword(s):  
Transit Time ◽  
Pulse Transit Time ◽  
Hemoglobin Level ◽  
Quantitation Method
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