scholarly journals The Future Exchange of Digital Engineering Data and Models: an Enterprise Systems Analysis

2019 ◽  
Vol 153 ◽  
pp. 260-267
Author(s):  
Tom McDermott ◽  
Paul Collopy ◽  
Molly Nadolski ◽  
Christiaan Paredis
ASCEND 2020 ◽  
2020 ◽  
Author(s):  
James Martin ◽  
Ryan A. Noguchi ◽  
Robert Minnichelli ◽  
Marilee J. Wheaton

Author(s):  
Deborah Uzoamaka Ebem ◽  
C.C. Ebem ◽  
J.O. Onyianta

2016 ◽  
Vol 11 (3) ◽  
pp. 50-55
Author(s):  
Thorsten Gerke ◽  
Dmytrij Martynenko ◽  
Arvind Hosagrahara

Author(s):  
Steve Adam ◽  
James Sloan

With the decreasing cost and ever increasing availability of digital information, visits to the field are being minimized. This is particularly evident in remote areas or regions where land access is difficult. For example, the possibility of using preliminary route alignment sheets built from digital engineering data for an application to construct a pipeline could provide cost and schedule savings as well as safety advantages over staging a preliminary field survey. A desktop-based approach which uses existing project data may be a valuable alternative, deferring the legal survey until after (or during) construction of each spread.


2020 ◽  
Vol 11 (4) ◽  
pp. 129
Author(s):  
Muhammad Asadullah ◽  
Nawaz Ahmad ◽  
Maria José Palma Lampreia Dos-Santos

The main aim of this paper is to forecast the future values of the exchange rate of the USD. Dollar (USD) and Pakistani Rupee (PR). For this purpose was used the ARIMA model to forecast the future exchange rates, because the time series was stationary at first difference.  Data reported to five years ranging from the first day of April 2014 to 31st March 2019. The results proved that ARIMA (1,1,9) is the most suitable model to forecast the exchange rate. The difference between the forecasted values and actual values are less than 1%; therefore, it was found that the ARIMA is robust and this model will be helpful for the government functionaries, monetary policymakers, economists and other stakeholders to identify and forecast the future trend of the exchange rate and make their policies accordingly.


2016 ◽  
Vol 79 ◽  
pp. 47-63 ◽  
Author(s):  
Hervé Panetto ◽  
Milan Zdravkovic ◽  
Ricardo Jardim-Goncalves ◽  
David Romero ◽  
J. Cecil ◽  
...  

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