Industry 4.0 Adoption in Manufacturing Industries Using Technology-Organization-Environment Framework

2021 ◽  
Vol 14 (1) ◽  
pp. 123-146
Author(s):  
Kanchan Pranay Patil

This paper investigated the determinant factors affecting the Industry 4.0 ecosystem needed for the digitization and automation of manufacturing industries. The 4th industrial revolution implements a value chain by interfacing internet of things devices and robotics, data processing in the cloud using artificial intelligence-based analytics. The study was conducted in Pune, India, a manufacturing and IT services hub. It sought to identify Industry 4.0 facilitators and inhibitors by framing empirical data collected from 320 manufacturing facilities and analyzed using PLS-SEM within a model based on technology-organization-environment (TOE) theory and motivation-threat-ability (MTA) theory. The results confirmed that technology competence, organization scope, consumer readiness, competitive pressure, trading partners' readiness, and governance practices are the facilitators, whereas organization resistance inhibits Industry 4.0 adoption intentions. The outcome of this study shall provide guidelines to manufacturing industries management as well as technology solution providers.

Author(s):  
Shams A. Laghari ◽  
◽  
Selvakumar Manickam ◽  
Shankar Karuppayah

Industry 4.0 has imminently emerged as the fourth industrial revolution. It garners emphasis primarily on the interaction between factory equipment and machines involved in entire value-chain activities for boosting efficiency and production with limited human intervention. The M2M communication protocols have gained significant prominence amidst sage minds in recent years, particularly in the manufacturing industries. Several M2M communication protocols have been developed for the industry, such as SECS/GEM, OPC UA, DDS, and MQTT. Among these protocols, SECS/GEM is a semiconductor’s equipment interface protocol for equipment-to-host data communications. It is not a modern, but decades-long protocol, and has been again brought to the fore by Industry 4.0. Thereupon, it was imperative to review amenability of SECS/GEM protocol in the context of adaptation of features depicted by industry 4.0, and limelight plethora of shortcomings and limitations. In this paper, comparisons of prominent features and limitations of the aforementioned M2M communication protocols in general and review of the SECS/GEM protocol in particular, have been made. Findings include deficiencies in security, point to point communication, discovery mechanism, fixed message format, interoperability, extendibility, and manual integration.


Author(s):  
Sedat Baştuğ ◽  
Gamze Arabelen ◽  
Ceren Altuntaş Vural ◽  
H. Hüseyin Kesiktaş ◽  
D. Ali Deveci

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3344
Author(s):  
Alberto Martínez-Gutiérrez ◽  
Javier Díez-González ◽  
Rubén Ferrero-Guillén ◽  
Paula Verde ◽  
Rubén Álvarez ◽  
...  

Industry 4.0 is the fourth industrial revolution consisting of the digitalization of processes facilitating an incremental value chain. Smart Manufacturing (SM) is one of the branches of the Industry 4.0 regarding logistics, visual inspection of pieces, optimal organization of processes, machine sensorization, real-time data adquisition and treatment and virtualization of industrial activities. Among these tecniques, Digital Twin (DT) is attracting the research interest of the scientific community in the last few years due to the cost reduction through the simulation of the dynamic behaviour of the industrial plant predicting potential problems in the SM paradigm. In this paper, we propose a new DT design concept based on external service for the transportation of the Automatic Guided Vehicles (AGVs) which are being recently introduced for the Material Requirement Planning satisfaction in the collaborative industrial plant. We have performed real experimentation in two different scenarios through the definition of an Industrial Ethernet platform for the real validation of the DT results obtained. Results show the correlation between the virtual and real experiments carried out in the two scenarios defined in this paper with an accuracy of 97.95% and 98.82% in the total time of the missions analysed in the DT. Therefore, these results validate the model created for the AGV navigation, thus fulfilling the objectives of this paper.


Author(s):  
Gilberto Marzano ◽  
Luis Ochoa Siguencia

Industry 4.0 is a term first introduced by the German government during the Hannover Messe fair in 2011 when it launched an initiative to support German industry in tackling future challenges. It refers to the 4th industrial revolution in which disruptive digital technologies, such as the Internet of Things (IoT), Internet of Everything (IoE), robotics, virtual reality (VR), and artificial intelligence (AI), are impacting industrial production.The new industrial paradigms of Industry 4.0 demand a socio-technical evolution of the human role in production systems, in which all working activities of the value chain will be performed with smart approaches.However, the automation of processes can have unpredictable effects.Nowadays, in a smart factory, the role of human operators is often only to control and supervise the automated processes. This new condition of workers brought forth a paradox: malfunctions or irregularities in the automated production process are rare but challenging.This article discusses the challenges and risks that the 4th industrial revolution is bringing to society.It introduces the concept of the Irony of Automation. This propounds that the more reliable an automated system, the less human operators have to do and, consequently, the less attention they pay to the system while it is operating.The authors go on to discuss the human-centered approach to automation, whose purpose is not necessarily to automate previously manual functions but, rather, to enhance user effectiveness and reduce errors. 


Author(s):  
Mai Thi Cam Tu

Trade balance is one of the important macro balances and has a strong impact on the balance of payments and the overall national economy. A country with a large trade deficit may experience lowered competitiveness of goods, export growth, and economic growth. This paper focuses on analyzing the core factors affecting Vietnam's trade balance in the context of global value chain accession. The author uses Bound-Testing method and ARDL model with data from 1990 to 2018 to identify factors affecting Vietnam's trade balance. The results show that, in the long term, Vietnam’s trade balance is affected by factors – ranked from the highest to the lowest – as follows: real GDP of trading partners; Vietnam’s real GDP; multilateral effective exchange rate; foreign added value in Vietnam's exported goods and FDI capital into Vietnam. From these important findings, the author proposes some implications for policymakers so as to improve the trade balance in the context of deeper participation in the global value chain.


2003 ◽  
Vol 3 (2) ◽  
pp. 109-121 ◽  
Author(s):  
David Simons ◽  
Mark Francis ◽  
Michael Bourlakis ◽  
Andrew Fearne

Value Chain Analysis (VCA) is a tool for analysing the nature and source of value within a supply chain and the potential for reducing waste therein, with the focus explicitly on the determinants of value within a manufacturing process rather than the simple measurement of process outputs. The tool has been successfully applied in recent years within the motor and information technology industries, to assist forward thinking businesses to survive in an increasingly competitive environment. VCA within the food industry faces the challenge where transactional relationships between trading partners remain the norm. This paper reports the results from the first of a series of Government sponsored VCA projects in the U.K. red meat industry. The paper explains the rational for VCA, describes the methodology and reports the findings from a case study involving a food multiple retailer, a meat processor and a livestock producer. Insights are presented into the potential for the use of VCA in the U.K. food industry and the specific issues that researchers need to be mindful of when embarking on a VCA project. The paper concludes by identifying key areas in which further research is required to develop the methodology to suit the unique characteristics of the food industry.


Author(s):  
Egemen Hopali ◽  
Özalp Vayvay

In this chapter, better understanding of Industry 4.0 is presented by investigating the role of different technologies and business partners on success of Industry 4.0. Enablers for smart factory are discussed in detail, and how to match these enablers with value chain partners of Industry 4.0 are identified as a new perspective on Industry 4.0. Furthermore, the aim of this chapter is to present actions to be taken from the point of the emerging economies to sustain and increase competitive advantage by catching and implementing Industry 4.0. Consequently, Industry 4.0 can enable developing countries to get a bigger slice of the world manufacturing value chain.


2021 ◽  
Vol 69 (6-7) ◽  
pp. 385-401
Author(s):  
Mladen Krstić ◽  
Snežana Tadić ◽  
Slobodan Zečević

Technological development, automation, digitalization, networking, new forms of communication, etc. initiated a new industrial revolution, also known as Industry 4.0. It represents a new form of organization and control of the value chain in the product life cycle. By connecting and synergizing existing and new solutions and technologies of communication, data collection, exchange and analysis, production, process management, trade, etc. a new paradigm of human action, business and living has been created. A concept that is intensively changing production processes has emerged, but its effects are also visible in other areas of human activity, primarily trade, health, agriculture, logistics, etc. By applying the solutions and technologies of Industry 4.0 in the field of logistics, the concept of Logistics 4.0 was developed with the aim of achieving greater efficiency of logistics systems and processes. New technologies and solutions appear every day, but the backbone of the development of the Logistics 4.0 concept is comprised of several key technologies, such as: Internet of Things (IoT), Autonomous Vehicles (AV) and Automatic Guided Vehicles (AGV), Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR), Big data, Data mining, Blockchain, Cloud Computing (CC), 3D printing, etc. The aim of this paper was to define and describe in detail the aforementioned technologies, as well as the possibilities of their application in the logistics systems and processes through a review of the relevant literature in this field. It can be concluded that logistics, as a multidisciplinary science, represents a fertile ground for the acceptance and further development of existing modern technologies, but also the initiator and incubator of new technologies that could easily go beyond logistics and become part of the family of Industry 4.0 solutions.


2020 ◽  
Vol 25 ◽  
pp. 416-437
Author(s):  
Nathalie Perrier ◽  
Aristide Bled ◽  
Mario Bourgault ◽  
Nolwenn Cousin ◽  
Christophe Danjou ◽  
...  

The fourth industrial revolution, called Industry 4.0, is transforming decision-making through the increasing use of information and digitization technologies. While Industry 4.0 is expanding rapidly in manufacturing industries, its induced transformations are gradually affecting other sectors, including the construction industry. In recent years, the use of 4.0 technologies in the construction industry, termed as ‘Construction 4.0’, has increased, mostly due to the immense potential of Industry 4.0 for improving the performance of construction projects and structuring their underlying management processes. This paper proposes a classification of existing literature on applications of Construction 4.0 technologies to allow for a better analysis of trends and gaps in the research. A total of nearly 200 research papers between 2009 and 2020 were reviewed and analyzed. Overall, the analysis shows that research on Construction 4.0 is closely aligned with the construction phase. Also, the most researched topics seem to be related to the management processes of quality, risk, and health and safety.


2021 ◽  
pp. 097226292199682
Author(s):  
Ritika Gupta

Digitalization and intelligization is the need of the hour in today’s world. The manufacturing industry is, in fact, moving towards the fourth-generation industry, which we termed as Industry 4.0 or the Fourth Industrial revolution, which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is all about talking in terms of big data, technology, cyber security, the Internet of Things (IoT) and so on. This study is done to understand the new emerging technology in data exchange and automation, popularly known as Industry 4.0, in terms of banking sector with context to the Indian banking sector. The study focuses on studying banks in a digitalized word and what are the challenges that banks face. How banks cope up with digitalization, keeping customers at priority. This study centred on incorporating articles published in recent years to establish knowledge on the topic and to further identify areas for future research.


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