List of Articles Industry 4.0

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  1 - Designing a Model of Barriers to the Implementation of the 4th Generation Industry in the Health Care Sector with a Fuzzy Total Interpretative Structural Modeling Approach
  esmaeil MazrouiNasrabadi Zahra Kheirkhah Maraghi
  10.30495/jhm.2023.72806.11123
  Introduction: The extensive advantages of the 4th generation of industry led to the entry of these technologies into the healthcare sector. Many countries have been able to create many competitive advantages by successfully implementing Healthcare 4.0. In Iran, the four More

  Introduction: The extensive advantages of the 4th generation of industry led to the entry of these technologies into the healthcare sector. Many countries have been able to create many competitive advantages by successfully implementing Healthcare 4.0. In Iran, the fourth generation of health care has not yet been properly investigated and implemented. Identifying implementation barriers and relationships between them can help decision makers in making appropriate decisions to facilitate Healthcare 4.0 implementing. This research was done with the aim of identifying these barriers and analyzing and relationship between them. Methods: This research was done in 2 stages. In the first stage, using semi-structured interviews with experts and the use of thematic analysis, barriers were identified, and in the second stage, using a researcher-made questionnaire and the method of fuzzy total interpretative structural modeling, a causal model of relationships between barriers was designed to identify the most fundamental barriers. The method of sampling in both stages was judgment and snowball and the sample size in them is 16 and 10 people, respectively. Results: The results of interviews with experts led to the identification of 44 main barriers, which are divided into 7 categories: " barriers due to sanctions", "Financial and economic barriers", "Hardware and software barriers", "Cooperation barriers", "competitive barriers", "management barriers" and "human resource barriers" were categorized. The modeling results showed that "barriers caused by sanctions", "competitive barriers" and "human resource barriers" are respectively the most important barriers and should be given special attention in policy making. Conclusion: The results of the research presented a new perspective on the barriers to healthcare 4.0. This perspective is about barriers related to sanctions and competitive issues. As a result, it is recommended to facilitate international communication, train decision-making and problem-solving skills, and develop knowledge-based activities to remove sanctions barriers. Also, facilitating public-private partnership and facilitating the presence of international companies in the field of healthcare can help increase competition. Manuscript profile
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  2 - Designing organizational culture segmentation pattern in the fourth generation industrial revolution
  , Gholam Reza Tavakoli mohammad mohammad zaheri, Mohammad Mazahery Tari
  10.30495/jcm.2022.68714.1612
  The current research has been done by identifying the types of organizational culture and designing the division model of organizational culture in the fourth generation industrial revolution. This applied-descriptive work has been done in the paradigm of interpretive r More

  The current research has been done by identifying the types of organizational culture and designing the division model of organizational culture in the fourth generation industrial revolution. This applied-descriptive work has been done in the paradigm of interpretive research and mixed research (qualitative-quantitative). The data were analyzed using the methods of studying existing knowledge sources, semi-structured interview and Delphi-phase questionnaire and using the methods of directional qualitative analysis and triangular Delphi-phase. The statistical population of the current research in both the quantitative and qualitative parts of this research were the experts on organizational culture and the fourth generation industrial revolution, which were conducted with the purposeful sampling method and 10 interviews were conducted until theoretical saturation was reached. The output of the content analysis was given to the experts to check the validity and the selected components, and necessary adjustments were made, and the reliability of the output of the content analysis was measured by the Holstein method, and its coefficient was 0.8. The result was the design of organizational culture segmentation model. The findings showed that 10 after that, leadership, technology, innovation, organizational, data, organizational structure, high status of knowledge and education, coherence, dynamic strategy and strategic thinking are the characteristics of organizational culture in the fourth generation industrial revolution. The two key axes of the fourth generation industrial revolution were identified as innovation and technology, and finally, four types of organizational culture were identified: passive, conservative, fashion oriented, and digital transformation in the industrial revolution of the generation. Manuscript profile
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  3 - Development of a Suitable Readiness Assessment Framework for Firms and Industrial Parks for the Adoption of the Fundamental Components of the Fourth Industrial Revolution (I4.0) and Investment Development
  Mohammadreza Aref Ahmad Jafarinejad Abolfazl Kiani Bakhtiari
  Over the past years, technological leaps and consecutive innovations in production processes have led to immense and unprecedented changes in the global industrial vista. In this midst, we are witness to the nascence of new concepts such as “industry 4.0,” w More

  Over the past years, technological leaps and consecutive innovations in production processes have led to immense and unprecedented changes in the global industrial vista. In this midst, we are witness to the nascence of new concepts such as “industry 4.0,” which have become the topic of increasing focus by researchers. In the present study, existing research work on the models and assessment readiness criteria for the adoption of industry 4.0 are overviewed. The new industrial paradigm resulting from the integration of  technologies that are based on physical cyber systems and digital transformation will radically change both the industry and the economy. Against this significant backdrop, the fundamental industry 4.0 readiness criteria have been identified and a suitable process framework for the readiness assessment of the country’s firms and enterprises is put to the fore. At the outset, all major scientific databases, i.e., Springer, Emerald, Sage, and Science Direct, including 40 scientific papers on readiness assessment and indicators of firms’ maturity level for the adoption of industry 4.0, were considered. Out of these articles, 16 were selected and subsequent to their comparative review, the resulting criteria for the assessment of the readiness and maturity of firms were extracted with a view to their suitability for Iranian firms and industrial parks. To this end a combination of methodologies such as expert panels, the DEMATEL method, and the Interpretive Structural Modeling (ISM) approach were used to develop the process model, which subsequent to preliminary validation, was detailed in terms of criteria content and applicability to operational environments.   Manuscript profile
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  4 - Designing a Model for Implementing the Fourth Generation Industry to Achieve Sustainable Development Goals in the Automotive Industry (Case Study: Iran KhodroCompany(
  Amir Ardehi Habibollah Javanmard Nazanin Pilevari
  10.30495/jsm.2022.1964456.1671
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  5 - Determining the level and analysis of the logistics system components based on the industry 4.0 (Study: the logistics centers of Iran)
  zahra Rahimi Habibollah Javanmard Amir Azizi Seyad Esmail Najafi
  10.30495/imj.2023.1973629.1812
  In order to improve the level of logistics components in accordance with the industry 4.0, it is necessary to increase situation of logistics processes. To increase the level of logistics processes, the first step is to measure growth rate and evolution. To measure the More

  In order to improve the level of logistics components in accordance with the industry 4.0, it is necessary to increase situation of logistics processes. To increase the level of logistics processes, the first step is to measure growth rate and evolution. To measure the evolution of the logistics system, processes and components of the logistics and evolution stages of them must determin. The purpose of this paper is to determine the level of the logistics system components based on industry 4.0 in Iran’s logistics centers. The research method is descriptive – applied. Samples includes two groups; the first group are ten logistics experts. Their knowledge has used for determining the processes and also the maturity level. The second group are 102 managers and decision makers in logistics centers, they provide information for the components validation and maturity assessment based on the present situation of components and logistics processes. Using the expert interviews, processes and components of logistics have been identified and classified into four processes and thirteen components. By mean of components status and the use of degree of adaptive method in Excel and SPSS software, the maturity of logistics has been measured. The results showed the transportation process is less developed because has more dependence on the external system and transport has not evolved in general. The process of information management has higher levels, because of less dependence on external systems. Based on the results recommendation for the large assembly industry and future researches are presented Manuscript profile
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  6 - Industry Revolutions Development from Industry 1.0 to Industry 5.0 in Manufacturing
  farzad yavari Nazanin Pilevari
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  7 - Optimizing the Implementation of a Robotic Welding System
  Fionn Foley Chris O’Donoghue Joseph Walsh
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  8 - Investigating Predictive Maintenance Strategies for CNC Machine Tools in the Industry 4.0 Era
  Fionn Foley
  This research compares different approaches for achieving precise predictive maintenance (PdM) results from CNC machine tools. For smaller enterprises, it is crucial to be able to upgrade their existing industrial machines with industry 4.0 systems, as the global market More

  This research compares different approaches for achieving precise predictive maintenance (PdM) results from CNC machine tools. For smaller enterprises, it is crucial to be able to upgrade their existing industrial machines with industry 4.0 systems, as the global marketplace becomes more competitive. The evolution of the Internet of Things (IoT) and the creation of cyber-physical systems (CPS) in the industry has enabled big data generation. New maintenance methodologies have emerged where decisions are driven by mathematical models and data analysis. In this study, a low-cost strategy is used as a baseline to establish system accuracy. Results are then compared to a more comprehensive strategy outlining the potentials of these retrofit predictive maintenance (PdM) systems. Numerous data modeling techniques were employed to increase system accuracy while focusing on the remaining useful life (RUL) of the cutting tool. Through analysis of the selected strategies favorable correlation is evident between predicted results and physical tool wear, optimal accuracy of 95.68% is achieved by utilizing hybrid data modeling techniques. The study highlights the possibilities for enterprises looking to adopt PdM strategies and consequently capitalize on the potential of Industry 4.0. Manuscript profile
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  9 - A Review of Organizational Readiness Models for Entering the Fourth Industrial Revolution
  Iman Ansari Masoud Barati Mohammad Reza Sadeghi Moghadam Morteza Ghobakhloo
  10.30495/jmemiau.2023.706498
  With the emergence of a phenomenon called "Fourth Industrial Revolution" and its technologies and applications, developed countries such as: Germany, America, Japan and some developing countries such as: China, India, trying to create suitable infrastructures. They have More

  With the emergence of a phenomenon called "Fourth Industrial Revolution" and its technologies and applications, developed countries such as: Germany, America, Japan and some developing countries such as: China, India, trying to create suitable infrastructures. They have evaluated and improved their level of readiness in order to enter to the fourth industrial revolution in various industries to achieve its many benefits through digitization. Therefore, it is necessary to evaluate the readiness level of organizations and industries to enter this digital industrial revolution, and in line with that, the necessary strategies to achieve the desired readiness level and implement the technologies and systems of the fourth industrial revolution are determined. Therefore, the present research aims to introduce the best Industry 4.0 readiness models by a wide review of the research literature and analyze the models in order to help organizations to use the appropriate readiness models and evaluate their degree of readiness. The results show that the best model based on the six research evaluation criteria is Impuls readiness model and Warwick University's readiness model is in second place. Manuscript profile