Software Testing: Cost Reduction in Industry 4.0

Author(s):  
Kevin J. Valle-Gomez ◽  
Pedro Delgado-Perez ◽  
Inmaculada Medina-Bulo ◽  
Jose Magallanes-Fernandez
Author(s):  
Florian Butollo ◽  
Lea Schneidemesser

The “Industry 4.0” paradigm is present in the strategy of governments, employers' associations and trade union federations. Revisiting Piore and Sabel's classic study on flexible specialisation, we criticise the one-sidedness and narrowness inherent in the discourse of Industry 4.0, to which we counter empirical analyses on decentralised factory networks. Contrary to the prevailing stylised account, flexibility is facilitated by “B2B” platforms that link manufacturers and customers – a model that relies more on the versatility of decentralised manufacturing networks than on sophisticated production technology. The effects on labour are ambivalent, as they involve both potential for a small-scale, skilled-labour-intensive manufacturing paradigm, and dangers arising from competitive pressure for cost reduction. In sum, our aim is to offer theoretical and empirical evidence for understanding changes in digitised manufacturing and to highlight the approach of “B2B” networks and platforms in the debate on the transformation of manufacturing and industrial work.


Author(s):  
Matt Grady ◽  
Bradley Pepper ◽  
Joshua Patch ◽  
Michael Degregorio ◽  
Phil Nigh

IEEE Software ◽  
2010 ◽  
Vol 27 (3) ◽  
pp. 80-86 ◽  
Author(s):  
Macario Polo Usaola ◽  
Pedro Reales Mateo

2019 ◽  
Vol 65 (No. 8) ◽  
pp. 359-365
Author(s):  
Andrej Dupaľ ◽  
Patrik Richnák ◽  
Ľuboslav Szabo ◽  
Klaudia Porubanová

The article is devoted to the analysis of the use of modern trends in the logistics of agricultural enterprises in Slovakia in order to achieve a competitive advantage and to ensure the improvement of the course of business activities. The research was carried out in 67 agricultural enterprises on the territory of Slovakia. The following methods of data collection were used: Computer-Assisted Web Interviewing, Computer-Assisted Telephone Interviewing and Computer-Assisted Personal Interviewing. When interpreting the results of research, descriptive statistics and hypothesis testing were used. Pearson’s chi-squared test, Pearson’s contingency coefficient and Tschuprow’s coefficient were applied as statistical tests. The result of the analysis is the need for digitisation and transfer of Big Data that will lead to better decisions, resulting in higher operational efficiency, cost reduction, risk reduction, flexibility, efficiency, and clarity of logistic processes. Agricultural enterprises in Slovakia will have to accept Industry 4.0. The results of the research revealed that 71.6% of agricultural enterprises strongly agrees with the usage of logistic technology. Price has a strong influence, as an important factor, on the implementation of a new trend in logistics in case of 80.6% agricultural enterprises. 29.8% of respondents accept logistic trends but do not have the funds to implement them in their enterprise.


2019 ◽  
Author(s):  
C Gkerekos ◽  
G Theotokatos ◽  
LM Bujorianu

Several digitalisation technologies have recently emerged, reshaping organisations across various industries and sectors. Such technologies, commonly placed under the industry 4.0 umbrella term, include Internet of Things (IoT), cloud computing, blockchain, and Artificial Intelligence (AI). They aim to enable the data collection, exchange, processing, and automation to enable a system to make decisions autonomously. This paper presents IN 4.0 project, aiming to ease the adaptation and adoption of industry 4.0 practices and technologies in maritime sector companies in order to improve their competitiveness. This will be achieved through a four-pronged approach aiming to: analyse the current state-of-art as applied to other industries; define a protocol for the redefinition of workers’ tasks; investigate cost-reduction methods for the implementation of 4.0 technologies; and counsel businesses for the transformation of maritime SMEs to the 4.0 era. Special focus will be given to the training required to get workers acquainted with new technologies and competitive in this changing labour market. Recent progress and advances of the IN 4.0 project along with future plans are presented and discussed, thus revealing the expected future transformation of the maritime industry.


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