Computing in the statistical office

2021 ◽  
pp. 1-14
Author(s):  
Mark P.J. van der Loo

Computing with data is at the hart activity of the statistical office. Yet, the area of technical computing often falls between the two stools of data analysts and IT developers. In this paper we analyze the importance of computational skills in the Generic Statistical Business Process Model. Next, we give an overview of computational topics that are of importance to the statistical office. Many of these skills turn out to be of highly technical nature. After this, we try to provoke a wider discussion on the role of technical computing by 1) introducing the role of the Research Software Engineer into the field of official statistics and 2) propose a six semester bachelor’s curriculum in official statistics.

2015 ◽  
Vol 38 (3) ◽  
pp. 21
Author(s):  
Scot Ausborn ◽  
Julia Rotondo ◽  
Tim Mulcahy

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience


2011 ◽  
Vol 22 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Xiao HE ◽  
Zhi-Yi MA ◽  
Yan ZHANG ◽  
Wei-Zhong SHAO

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.


Author(s):  
Zhyldyz Kalpeyeva ◽  
Aizhan Kassymova ◽  
Timur Umarov ◽  
Akkyz Mustafina ◽  
Nurzhan Mukazhanov

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