scholarly journals Special Issue: Quality Management in the Era of Industry 4.0

2018 ◽  
Vol 25 (1) ◽  
pp. 67-67
2021 ◽  
Vol 11 (13) ◽  
pp. 5975
Author(s):  
Ana María Camacho ◽  
Eva María Rubio

The Special Issue of the Manufacturing Engineering Society 2020 (SIMES-2020) has been launched as a joint issue of the journals “Materials” and “Applied Sciences”. The 14 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in the field of Manufacturing Engineering focusing on advances and innovations in manufacturing processes; additive manufacturing and 3D printing; manufacturing of new materials; Product Lifecycle Management (PLM) technologies; robotics, mechatronics and manufacturing automation; Industry 4.0; design, modeling and simulation in manufacturing engineering; manufacturing engineering and society; and production planning. Among them, the topic “Manufacturing engineering and society” collected the highest number of contributions (representing 22%), followed by the topics “Product Lifecycle Management (PLM) technologies”, “Industry 4.0”, and “Design, modeling and simulation in manufacturing engineering” (each at 14%). The rest of the topics represent the remaining 35% of the contributions.


2017 ◽  
Vol 40 (7) ◽  
pp. 551-551
Author(s):  
Yeau-Ren Jeng ◽  
Ping-Hei Chen
Keyword(s):  

Semantic Web ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Amrapali Zaveri ◽  
Dimitris Kontokostas ◽  
Sebastian Hellmann ◽  
Jürgen Umbrich

Author(s):  
Kostiuk Yaroslava

In the current global dynamic and competitive business environment of Industry 4.0, small and medium-sized enterprises face a major challenge of expanding their market activities and adapt to new conditions in order to survive in times of economic or pandemic crisis. The implementation of comprehensive quality management in business environment within EU organizations is a response to this challenge for global competition (Abdul, Sumantoro, & Maria, 2019). Current problem is the fact that the implementation and monitoring of quality management as a process of business management in the majority of small and medium-sized enterprises (SMEs) is not sufficiently used, underestimated, or even considered to be obsolete (Rigby, Bilodeau, 2018). In an enterprise with good financial health and healthy corporate culture, all transactions and processes are carried out properly and the relationships among all stakeholders (employees, suppliers, and customers) are successful. For other companies, it is necessary to take steps to ensure quality and follow them (Fernandes et al., 2017) in order to move towards the concept of Industry 4.0. According to published professional literature, each research worker has developed their own framework for mapping value production operations based on specific needs and interests in the fields under review. However, the relationship between the quality processes and value stream maps has not been adequately addressed in professional literature, especially in the case of small and medium-sized enterprises. Therefore, for achieving the objective of the contribution, the following research questions have been formulated: To which extent quality participates in generating value added within production process? In which production operations does the quality factor contributes most to generating value added? Keywords: Quality value stream map, Value stream map, quality management, added value for the customer.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabiane Florencio de Souza ◽  
Alana Corsi ◽  
Regina Negri Pagani ◽  
Giles Balbinotti ◽  
João Luiz Kovaleski

PurposeThe purpose of this article is to explore the new concept of TQM 4.0 as a way of adapting quality management (QM) in Industry 4.0 (I4.0), guiding industries to this new phase, which has generated adaptations in numerous areas, one of which is QM and human resources.Design/methodology/approachA systematic review of the literature was carried out. Methodi Ordinatio was applied to build the portfolio of articles with scientific relevance, which is the source of data collections and content analysis. To help out in the analysis, NVivo 12 and VOSviewer software programs were used.FindingsThe results demonstrate that when adapting the QM to the technologies of I4.0, the result is an ecosystem that supports the integration between technology, quality and people in the industrial scenario.Research limitations/implicationsThis article presents a systematic review of the literature, but without delving into specific issues such as the different industrial sectors and the culture of countries in which industries may be inserted, for example, which characterizes a limitation of this research.Practical implicationsThis study provides an ecosystem model that can guide future research, regarding the concept of TQM 4.0, in addition to pointing out some ways of combining technologies, quality and people in the industrial context.Originality/valueThis is one of the first articles to employ a systematic review of the literature using Methodi Ordinatio to build a bibliographic panorama on the intertwining of the themes total QM (TQM) and I4.0, focusing on the emerging concept of TQM 4.0.


2019 ◽  
Vol 9 (20) ◽  
pp. 4323 ◽  
Author(s):  
López de Lacalle ◽  
Posada

The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]


2020 ◽  
Vol 31 (5) ◽  
pp. 825-836
Author(s):  
Roland Ortt ◽  
Claire Stolwijk ◽  
Matthijs Punter

PurposeThe purpose of this paper is to introduce, summarize and combine the results of 11 articles in a special issue on the implementation of Industry 4.0. Industry 4.0 emerged as a phenomenon about a decade ago. That is why, it is interesting now to explore the implementation of the concept. In doing so, four research questions are addressed: (1) What is Industry 4.0? (2) How to implement Industry 4.0? (3) How to assess the implementation status of Industry 4.0? (4) What is the current implementation status of Industry 4.0?Design/methodology/approachSubgroups of articles are formed, around one or more research questions involving the implementation of Industry 4.0. The articles are carefully analyzed to provide comprehensive answers.FindingsBy comparing definitions systematically, the authors show important aspects for defining Industry 4.0. The articles in the special issue explore several cases of manufacturing companies that implemented Industry 4.0. In addition, systematic approaches to aid implementation are described: an approach to combine case-study results to solve new implementation problems, approaches to assess readiness or maturity of companies regarding Industry 4.0 and surveys showing the status of implementation in larger samples of companies as well as showing relationships between company characteristics and type of implementation. Small and large firms differ considerably in their process of implementing Industry 4.0, for example.Research limitations/implicationsThis special issue discusses implementation of Industry 4.0. The issue is limited to 11 articles, each of which with its own strengths and limitations.Practical implicationsThe practical relevance of the issue is that it focuses on the implementation of Industry 4.0. Cases showing successful implementation, measurement instruments to assess degree of implementation and advice how to build a database with cases together with large-scale studies on the state of implementation do provide a wealth of information with a large managerial relevance.Originality/valueThe paper introduces an original take on Industry 4.0 by focusing on implementation. The special issue contains both literature reviews, articles describing case studies of implementation, articles developing systematic measurement instruments to assess degree of implementation and some articles reporting large-scale studies on the state of implementation of Industry 4.0 and thereby combine several perspectives on implementation of Industry 4.0.


Semantic Web ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 885-886
Author(s):  
Dhavalkumar Thakker ◽  
Pankesh Patel ◽  
Muhammad Intizar Ali ◽  
Tejal Shah

Welcome to this special issue of the Semantic Web (SWJ) journal. The special issue compiles four technical contributions that significantly advance the state-of-the-art in Semantic Web of Things for Industry 4.0 including the use of Semantic Web technologies and techniques in Industry 4.0 solutions.


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