scholarly journals Development of Innovative Operational Flexibility Measurement Model for Smart Systems in Industry 4.0 Paradigm.

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ahmad Sajjad ◽  
Wasim Ahmad ◽  
Sulman Hussain ◽  
Raja Majid Mehmood
Keyword(s):  
Industry 4.0 ◽  
Measurement Model ◽  
Operational Flexibility ◽  
Smart Systems ◽  
Flexibility Measurement

Industry 4.0 Technologies Used in Project Management

2019 ◽  
pp. 40-63
Author(s):  
Dilek Özdemir Güngör
Keyword(s):  
Project Management ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Project Managers ◽  
Revolutionary Change ◽  
Smart Systems ◽  
Industrial Internet ◽  
Project Organizations ◽  
Networking Technologies ◽  
New Generation

Advancements in technology, especially ICTs, has caused a revolutionary change in every aspect of life. The reflection of these advancements on manufacturing industry is named “The Industrial Internet,” or “Industry 4.0.” New generation factories are to be equipped with cyber-physical systems. Teams integrating physical industrial components, and advanced modern sensing and networking technologies to form new smart systems. These systems will have more capabilities than the systems which are already in use. These winds of change will also affect projects and project management. Clearly, success in agile project management will become more crucial. At this point, technologies enabling Industry 4.0 will help project managers. Project organizations have the flexibility to get adapted to new situations fast. In this chapter, benefits of the technologies enabling Industry 4.0 in project management are introduced.

Handbook of Industry 4.0 and SMART Systems

2019 ◽  
Author(s):  
Diego Galar Pascual ◽  
Pasquale Daponte ◽  
Uday Kumar
Keyword(s):  
Industry 4.0 ◽  
Smart Systems

scholarly journals Impact of Quality Management on Business Performance of Manufacturing Firms: The Moderated Effect of Industry 4.0

2021 ◽  
Vol 25 (3) ◽  
pp. 120-135
Author(s):  
Nu Nguyen ◽  
Chuong Nguyen ◽  
Hieu Nguyen ◽  
Van Nguyen
Keyword(s):  
Quality Management ◽  
Industry 4.0 ◽  
Business Performance ◽  
Quantitative Methods ◽  
Structural Model ◽  
Measurement Model ◽  
Manufacturing Firms ◽  
Quality Model ◽  
Formative Measurement ◽  
Measurement Models

Purpose: The research aims to investigate the individual quality management (QM) factors impact on business performance in manufacturing firms. We then assess their influence and look at how industry 4.0 affects business performance directly. Furthermore, the study will demonstrate the moderate effect of industry 4.0 on the interaction between QM and business performance.        Methodology/Approach: The authors used two methodologies. The first is qualitative methods, by interviewing experts to develop a realistically appropriate model. The second is quantitative methods, by carrying out the survey and getting 84 observations. This research used the multivariate data analysis technique PLS-SEM to evaluate three measurement models: formative measurement model, reflective measurement model, and structural model. Findings: The QM was operationalised as a multi–dimensional construct. According to the findings, these individual QM factors significantly affect the organisation’s performance, including customer satisfaction, employee satisfaction and quality performance. Besides, QM and Industry 4.0 have directly impact on performance. The study also shows that industry 4.0 has a positive moderating role in the relationship between QM and business performance. Research Limitation/Implication: The survey was only done in emerging countries and the sample size is limited. There are other QM and business performance measurement parameters that have not yet to be discussed. Originality/Value of paper: The study contributes to the QM literature by building a business quality model, in which the role of Industry 4.0 was explored.

Quality 4.0 – a measurement model using the confirmatory factor analysis (CFA) approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
G.S. Sureshchandar
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Industry 4.0 ◽  
Research Work ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Future Research ◽  
Content Type ◽  
Formidable Challenge ◽  
Confirmatory Factor

PurposeThe disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building.Design/methodology/approachThe research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach.FindingsThe proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality.Research limitations/implicationsImplications for future research are provided which would help to further explore the nascent field of Quality 4.0.Practical implicationsThis research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system.Originality/valueThe present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.

scholarly journals Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review

2020 ◽  
Vol 12 (15) ◽  
pp. 5968 ◽  
Author(s):  
Jaroslav Vrchota ◽  
Martin Pech ◽  
Ladislav Rolínek ◽  
Jiří Bednář
Keyword(s):  
Content Analysis ◽  
Industry 4.0 ◽  
Workplace Safety ◽  
Future Research ◽  
Green Technologies ◽  
Physical Systems ◽  
Smart Systems ◽  
Green Industry ◽  
Industrial Internet ◽  
Practice Knowledge

Green processes are very important for the implementation of green technologies in production to achieve positive sustainability outcomes in the Industry 4.0 era. The scope of the paper is to review how conventional green processes as a part of Industry 4.0 provide sustainability outcomes in manufacturing. The paper is based on the methodology of systematic literature review through the content analysis of literary resources. Twenty-nine studies were included in our content analysis. The results show the main focus of current literature related to Industry 4.0, sustainability outcomes and green processes. The authors present a conceptual Sustainability Green Industry 4.0 (SGI 4.0) framework that helps to structure and evaluate conventional green processes in relation to Industry 4.0 and sustainability. The study summarizes which technologies (big data, cyber-physical systems, Industrial Internet of Things and smart systems) and green processes (logistics, manufacturing and product design) are important for achieving a higher level of sustainability. The authors found that the most often common sustainability outcomes are energy saving, emission reduction, resource optimalization, cost reduction, productivity and efficiency and higher economic performance, human resources development, social welfare and workplace safety. The study suggests implications for practice, knowledge and future research.

From Industry 4.0 to Education 4.0: acceptance and use of videoconferencing applications in higher education of Oman

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vishal Jain ◽  
Parul Jain
Keyword(s):  
Higher Education ◽  
Behavioral Intention ◽  
Industry 4.0 ◽  
Structural Model ◽  
Measurement Model ◽  
Learning Tools ◽  
Content Type ◽  
Use Of Technology ◽  
Validity Indices ◽  
Use Behavior

PurposeThe present paper is an attempt to study Education 4.0 supported by Industry 4.0 tools and techniques. The main purpose of the study is to examine the acceptance and use of one of the internet of things (IoT)-based learning management systems, i.e. videoconferencing application (Google Meet, Microsoft Teams, Zoom, GoToMeeting, WebEx), by academicians of higher education using the unified theory of acceptance and use of technology (UTAUT) model.Design/methodology/approachThe study comprises 218 responses of academicians associated with higher education in the Sultanate of Oman. Descriptive and factor analysis of the collected data are employed using SPSS-26. Further, using Amos-21, the fit and validity indices of the measurement model are computed. Various relationships of the UTAUT structural model along with moderation effects of gender and nationality are tested.FindingsThe results suggest that performance expectancy, effort expectancy and social influence significantly predict behavioral intention. In turn, behavioral intention and facilitating conditions also significantly predict the use behavior of academicians for videoconferencing in higher education. Finally, gender moderates two out of four UTAUT relations, but nationality does not moderate any of these relations.Originality/valueA lot of prior studies investigate several models to use technology-enabled pedagogy from educators' or students' perspectives. There are very limited studies that examine IoT-based learning tools within the UTAUT environment. Additionally, no study is available that considers UTAUT relations for the use of videoconferencing in higher education. Also, in the present study, one more moderator, i.e. nationality, is tested.

scholarly journals Impacts of the 4th Industrial Revolution on Industries

2020 ◽  
Vol 17 (8) ◽  
pp. 903-915
Author(s):  
Shahryar SOROOSHIAN ◽  
Shrikant PANIGRAHI
Keyword(s):  
Paradigm Shift ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Review Paper ◽  
Cyber Physical Systems ◽  
Limited Information ◽  
Human Machine Interaction ◽  
Physical Systems ◽  
Smart Systems ◽  
Machine Interaction

The leap of technology has led to a paradigm shift called the “industrial revolution”. Industry 4.0 is the fourth industrial revolution which implemented the philosophy of cyber-physical systems, internet and future-oriented technologies, and smart systems with promoted human-machine interaction paradigms. The emergence of Industry 4.0 was introduced to the world as a new trend to improve working surroundings in industries and solve the problems faced by the industries. There is a limited information about Industry 4.0 and not every person understands the real meaning of Industry 4.0. Thus, the objective of this review paper is to identify the possible impacts of Industry 4.0 on manufacturing industries which will encourage more organizations to adopt Industry 4.0.

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