scholarly journals Asset Administration Shell Design Methodology Using Embedded OPC Unified Architecture Server

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2520
Author(s):  
Rudolf Pribiš ◽  
Lukáš Beňo ◽  
Peter Drahoš

This article captures the current trends in the development of communication interoperability and common data modelling for the integration of devices into Industry 4.0 networks. The use of open standards such as the Open Platform Communications Unified Architecture (OPC UA) or the Asset Administration Shell (AAS) concept is the only way to achieve global communication and semantic interoperability. This article presents an original methodology of AAS implementation into an embedded system, dramatically reducing system requirements. The proposed workflow of the I4.0 component creation includes a procedure for the implementation of the AAS in the OPC UA information model. This methodology was verified by creating an intelligent sensor as a specific I4.0 cyber-physical system based on the 32 bit Arm Cortex Microcontroller. The outcome is the AAS as an “Embedded Industry 4.0 Component” hosted by a minimalist hardware; this is the very first design and implementation of a device with such parameters. Compared to recent studies (which implement certain types of AAS devices), the system requirements of the proposed embedded AAS are in the order of hundreds lower. The presented novel methodology enables developers and industrial manufacturers to implement relatively simple devices (e.g., smart sensors or actuators) as I4.0 Components.

2017 ◽  
Vol 23 (3) ◽  
pp. 555-573 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Shan Jiang ◽  
Thanos Papadopoulos ◽  
Rameshwar Dubey

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.


2014 ◽  
Vol 44 (4) ◽  
pp. 310-323 ◽  
Author(s):  
Ana Tominc

Purpose – The purpose of this study is to demonstrate the impact of global celebrity chefs and their discourse about food on the genre of cookbooks in Slovenia. Design/methodology/approach – Focusing this discourse study on cookbook topics only, the analysis demonstrates the relationship between the aspirations of local celebrity chefs for the food culture represented globally by global celebrity chefs, such as Oliver, and the necessity for a local construction of specific tastes. While the central genre of TV celebrity chefs remains TV cooking shows, their businesses include a number of side products, such as cookbooks, which can be seen as recontexualisations of TV food discourse. Findings – Hence, despite this study being limited to analysis of cookbooks only, it can be claimed that the findings extend to other genres. The analysis shows that local chefs aspire to follow current trends, such as an emphasis on the local and sustainable production of food as well as enjoyment and pleasure in the form of a postmodern hybrid genre, while, on the other hand, they strive to include topics that will resonate locally, as they aim to represent themselves as the “new middle class”. Originality/value – Such an analysis brings new insights into the relationship between discourse and globalisation as well as discourse and food.


2016 ◽  
Vol 8 (6) ◽  
pp. 643-653 ◽  
Author(s):  
Sérgio Moro ◽  
Paulo Rita

Purpose This study aims to present a very recent literature review on tourism demand forecasting based on 50 relevant articles published between 2013 and June 2016. Design/methodology/approach For searching the literature, the 50 most relevant articles according to Google Scholar ranking were selected and collected. Then, each of the articles were scrutinized according to three main dimensions: the method or technique used for analyzing data; the location of the study; and the covered timeframe. Findings The most widely used modeling technique continues to be time series, confirming a trend identified prior to 2011. Nevertheless, artificial intelligence techniques, and most notably neural networks, are clearly becoming more used in recent years for tourism forecasting. This is a relevant subject for journals related to other social sciences, such as Economics, and also tourism data constitute an excellent source for developing novel modeling techniques. Originality/value The present literature review offers recent insights on tourism forecasting scientific literature, providing evidences on current trends and revealing interesting research gaps.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabiana Dafne Cifone ◽  
Alberto Portioli Staudacher

PurposeThe integration between the traditional lean management and Industry 4.0, namely called Lean 4.0, is under the spotlight of both academia and practitioners. While we agree on the benefits Lean 4.0 may bring to companies performance, we still lack a deep understanding of the characteristics of this paradigm, such as its effective application space. Recalling traditional lean better suits repetitive companies, we are keen to understand whether the anew Lean 4.0 will enlarge its application space.Design/methodology/approachWe performed an exploratory study, using a quantitative analysis based on Bayesian network approach to investigate whether Lean 4.0 results to be as effective in repetitive companies as in non-repetitive ones, in terms of operational performance.FindingsWhile our findings confirm that Lean 4.0 will enhance companies' performance regardless their production strategies, companies adopting a repetitive strategy do benefit from a much higher improvement. Our findings provide an insight on the true applicability space of Lean 4.0, which seems to be the same as the traditional lean.Originality/valueWe contribute to the ongoing debate of Lean 4.0 providing initial empirical evidence on how to improve the operational performance in non-repetitive companies, seeing that Lean 4.0 might not be the best choice in its current format.


foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajasshrie Pillai ◽  
Shilpi Yadav ◽  
Brijesh Sivathanu ◽  
Neeraj Kaushik ◽  
Pooja Goel

Purpose This paper aims to investigate the use of Industry 4.0 (I4.0) technology and its barriers in human resourcemanagement (HRM) for Smart HR 4.0 and its impact on HR performance. Design/methodology/approach The research has been conducted using the grounded theory approach. Semi-structured interviews were conducted with 122 senior HR officers of national and multi-national companies in India after the extensive literature review. NVivo 8.0 software was used for the analysis of the interview data. Findings I4.0 technology is used for HRM functions by HR professionals. It is revealed that Smart HR 4.0 that emerged from the I4.0 technology has leveraged the HR performance. It is also found that usage barriers, traditional barriers and risk barriers affect the use of I4.0 technology in HRM. Originality/value A model is developed using the grounded theory approach for HR managers to understand the impact of I4.0 on HRM. This study reveals the barriers affecting the use of I4.0 technology in HRM. It also provides the model for HR performance that emerged through the use of I4.0 technology in HR and Smart HR 4.0. The research delivered key insights for the HR professionals, marketers of HR technology and technology developers.


Author(s):  
Gerard Meijer ◽  
Frank van der Goes ◽  
Ferry Toth ◽  
Sander van Herwaarden ◽  
Edval Santos

Author(s):  
Oluwakemi Christiana Abikoye ◽  
Amos Orenyi Bajeh ◽  
Joseph Bamidele Awotunde ◽  
Ahmed Oloduowo Ameen ◽  
Hammed Adeleye Mojeed ◽  
...  

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