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2021 ◽  
Author(s):  
Elugai Palanichamy Selvarasu ◽  
Eslah Ali Al Hammadi

Abstract Engineering Division provides services & support to Operations and Projects. Division develops deliverable / report / recommendation for various studies, operation issues related to Engineering, root cause analysis, etc. Division receives an average of five request in a week. Division is handling 175+ studies at a time with support of multiple discipline Engineers within division and are in different stages. The division was handling the complete business process manually with dedicated resources to track the review, approval, execution and progress monitor. It was difficult to track all the steps since the information were scattered with many stakeholders and manual entries are not robust / fool proof. The manual control was insufficient to manage document movement, monitoring engineering activities and progress. This paper highlights the methodology used to digitalize the business process and also the improvement / benefit realized.


2021 ◽  
Vol 2010 (1) ◽  
pp. 012181
Author(s):  
Fan Liu ◽  
Ziwei Wang ◽  
Sheng Zhang ◽  
Zhongyun Xiao

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0179057 ◽  
Author(s):  
Fangyu Ding ◽  
Quansheng Ge ◽  
Dong Jiang ◽  
Jingying Fu ◽  
Mengmeng Hao

2010 ◽  
Vol 44-47 ◽  
pp. 3264-3268 ◽  
Author(s):  
Teng Long ◽  
Li Liu ◽  
Huai Jian Li

The advantages of global sensitivity equation (GSE) method are firstly pointed out, with which an improved multiple discipline feasible (MDF) strategy based on GSE, denoted as MDF-GSE, is developed. In MDF-GSE strategy, the sensitivity of complicated coupled system is calculated using GSE in a parallel manner, which makes MDF-GSE more efficiency when optimizing complicated coupled system compared with the original MDF strategy. Additionally, the preferable performance in convergence and robustness of MDF is also inherited in MDF-GSE. A conceptual optimization of a training airplane is executed using both MDF and MDF-GSE. The results of quantificational comparison demonstrate that computational efficiency is improved dramatically by using MDF-GSE, which makes required computation cost decreased by about 86%. The optimization time, furthermore, ulteriorly reduced due to the quasi-parallel capability of MDF-GSE. It is indicated that the MDF-GSE strategy can enhance the optimization efficiency for the complicated coupled systems.


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