scholarly journals Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255115
Author(s):  
Asif Mahmood ◽  
Asif Arshad Ali ◽  
Muhammad Nazam ◽  
Muhammad Nazim

This research aims to identify, rank, and create an interplay among the psychological barriers to adopting Industry 4.0 technologies in the manufacturing sector. A comprehensive literature review tracked by a discussion with industry and academic experts recognized 20 barriers. Based on three widely acclaimed statistical techniques, hybrid AHP-TOPSIS (Analytical Hierarchy Process-Technique for Order Performance by Similarity to Ideal Solution) and ISM (Interpretative Structural Modeling), critical psychological barriers have been investigated. A group of 8 experts from industry and academia with at least 10 years of experience was consulted for AHP and ISM techniques. Whereas TOPSIS was conducted by 443 operational-level users, including managers and supervisors of different functional areas of the manufacturing industry located in Pakistan. The findings reveal that ‘Fear of job losses’, ‘Fear of data loss/Risk of security breaches, ‘Lack of advanced & continued education of employees’ and ‘Lack of standards and reference architecture’, with highest importance weights, emerged as the most prominent psychological barriers in developing economies. Then the interrelations among these barriers resulted in a four-layered structural model. The driver barriers identified in the final model advocate that development in ‘advanced & continued education of employees’, ‘standards & reference architecture’ and ‘minimization of fear of job & data loss’ can expedite the adoption of industry 4.0 (i4.0) technologies. The study uniquely develops hierarchical relationships among the psychological barriers for adopting i4.0 in the manufacturing context using AHP-TOPSIS and ISM techniques. The study would be valuable for practitioners, decision-makers and companies that wish to focus their efforts and resources on removing the most critical barriers and challenges for the seamless implementation of Industry 4.0.

Author(s):  
Ravinder Kumar

This is an era of information technology and Industry 4.0 in the manufacturing sector. Globalization and spread of technology have leveled the field of competition among all economies. With aforementioned development, there is a need for sustainable manufacturing practices to justify the use of natural resources all over the globe. Both developed and developing economies should adopt the sustainable practices of manufacturing. On other hand, managing challenges of sustainable manufacturing is an uphill task for manufacturing organizations for several reasons. In this chapter, the author has analyzed the challenges of sustainable manufacturing by using DEMATEL technique to differentiate them in cause and effect challenges. This differentiation can further help in effective analysis of these challenges. From practical and managerial viewpoints, this study can help the policymakers and strategy planners of manufacturing organizations in better understanding of sustainability and its aspects. Further, it can help in developing policies on sustainable manufacturing on national and international level both in developed and developing economies.


2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage

The shift towards Industry 4.0 is a fundamental driver of improved changes observed in today’s business organizations. The difficulties in adapting to this new approach pose challenges for many companies especially in the oil and gas (O&G) upstream sector. To make this path much feasible for companies in this industry, Maturity Models (MMs) are very useful tools in achieving this following their use in evaluation of the initial state of a company for planned development journey towards Industry 4.0 (I4.0) readiness and implementation. Study shows that only a limited number of O&G specific roadmaps, MMs, frameworks and readiness assessments are available today. This paper aims to review the currently available Industry 4.0 MMs for manufacturing industries and analyze their applicability in the O&G upstream sector using the systematic literature review (SLR) methodology, recognizing the specific requirements of this industry. The study looks at the key characteristic for O&G sector in relation to the manufacturing sector and identifies research gaps needed to be addressed to successfully support the O&G sector in readiness for Industry 4.0 implementation. An Industry 4.0 maturity model that reflects the industrial realities for the O&G upstream sector more accurately from insights drawn from the reviews of existing MMs is proposed. This reduces the challenges of the transition process towards Industry 4.0 and provides support for the critical change desired for improved efficiency in the sector.


2021 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Pradeep Kumar

Sustainable manufacturing has been a popular topic of research for quite some time now. There are various concepts and ideas which have claimed to have a significant impact on sustainability of the manufacturing industry like lean, green and agile manufacturing. Industry 4.0 is the latest and by far the one with the maximum potential of changing the manufacturing sector forever. It is rightly called as “the fourth industrial revolution”. It is a wide concept which covers many state of the art technologies like the Internet of Things (IoT), Artificial Intelligence, Big Data, Augmented reality etc. But like every big revolution, it is to face many challenges also. In this review, we are looking at this ‘yet in infancy’ concept and its role in achieving a sustainable manufacturing sector as discussed by researchers. Different scholars have come up with different challenges to implementation of I4.0 which they thought to be of some significance. There is going to  review such challenges making a list of 13 such challenges. Then, it also throw some light on the new challenge faced by all of humanity in the form of SARS-CoV-2 pandemic and how it is affecting the manufacturing sector.


Author(s):  
Saif Ur Rahman ◽  
Nor’Aznin Abu Bakar

The objective of this study is to explore the insights of the literature on foreign direct investment (FDI) toward manufacturing industry in the context of developing economies. This paper examines and synthesizes existing theoretical and empirical literature on said issue. It first draws the overview of the FDI and manufacturing sector in Pakistan. Second, it identifies the literature based on the theoretical and empirical insights from the published literature. In addition, this article put light on theoretical methods that describes how/ why these methods work. Third, this article proposes three fruitful dimensions for further research. This paper contributes to the area of FDI and manufacturing sector growth by critically analyzing and synthesizing existing theory and research on FDI and growth of manufacturing sector.


2021 ◽  
Vol 28 (Number 2) ◽  
pp. 73-101
Author(s):  
Hafiz Mudassir Rehman ◽  
Hui Nee Au Yong ◽  
Yuen Onn Choong

The manufacturing industry is an indispensable part of the economy, especially for Malaysia. The manufacturing sector in Malaysia is not only transforming raw material into products, but also contributing significantly to the country’s economy. Malaysia has attained a significant position in the world by exporting its manufactured goods. However, the production services always require innovation to meet the ever-changing customer demands. With the advent of Industry 4.0, the manufacturing industry faces constant challenges such as the innovation capability of organizations, and swift and frequent shifts in the use of technology. These issues may hamper the efforts of manufacturing firms to fully participate in Industry 4.0 Malaysia. Therefore, the objective of this study is to identify the influence of knowledge-oriented leadership, electronic human resource management (E-HRM), and decentralised organisational structure on organizational innovation. The current research has adopted a quantitative method to establish the relationship between these three variables and innovation in organizations. A total of 218 samples were collected from manufacturing firms located in Malaysia. Data collected through a self-administered questionnaire was examined by using SmartPLS software. The results of this research has added to the body of knowledge in the respective field by highlighting the significance of knowledge-oriented leadership and E-HRM in predicting organizational innovation. It can further help stakeholders to plan a way forward in facing Industry 4.0 through the development of innovation competencies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geetha Subramanian ◽  
Bhushan T. Patil ◽  
Bhaskar B. Gardas

Purpose Cloud technology is extremely critical for the continuing progress of Industry 4.0 and it helps in pooling centralized information for the business. Further, it offers a platform for collaboration for improving the performance of the industry. This paper aims to investigate the factors affecting the implementation of cloud technology for boosting Industry 4.0 adoption in micro, small and medium enterprises (MSMEs) of the manufacturing sector. Design/methodology/approach A total of 14 enablers were considered for the case study which were obtained from the literature survey and shortlisted by the experts of the domain (academia and industries). The interpretive structural modelling (ISM) approach has been used as a methodology for exploring the relationships between the enablers. Matrices impact croises multiplication applique and classment (MICMAC) analysis has been carried out for the validation of the developed structural model. MICMAC analysis helps to identify driving power and dependency potential of all considered enablers. Findings The results of the investigation indicate that three factors, namely, system integration, project management and competitive pressure, were significant. These factors drive all other considered factors in the implementation process. Research limitations/implications The opinions of the experts from the industry and academia were analyzed for the development of the hierarchical model and these inputs could be biased. This investigation intends to help the decision makers in the effective adoption of the cloud and Industry 4.0 technologies and for the formulation of the efficient implementation policies. Originality/value The present study aims to focus on cloud technology as well as Industry 4.0 in the context of manufacturing MSMEs and none of the previous investigations analyzed the enablers that influence the adoption of cloud technology for boosting Industry 4.0, especially using the ISM approach.


Author(s):  
Girish Kumar ◽  
Arjun Bakshi ◽  
Anurag Khandelwal ◽  
Anuj Panchal ◽  
Umang Soni

Production in small and medium enterprises (SMEs) makes a substantial contribution to the Gross Domestic Product directly and indirectly in developing economies including India. In the present time, applying Industry 4.0 to the SMEs will build a smart manufacturing system that will prove to be economically feasible as well as socially sustainable. The purpose of this study is to identify and prioritize major barriers of implementing Industry 4.0 in Indian SMEs. A questionnaire with 12 barriers which were identified based on the literature survey and expert discussion was made to be filled by industry experts of production, information technology, business and members of the top management in SMEs. Further, Multi-Criteria Decision Making (MCDM) methods like TOPSIS, VIKOR and PROMETHEE are used to find the rank for each barrier. The study reveals that the major implementation barriers of Industry4.0 in Indian SMEs are fear of unemployment, lack of IT training, poor IT infrastructure, etc. The ranking for each barrier will not only help to assess risks in manufacturing, supply chain or business initiative, but also to help the managers in devising risk mitigation plans. This study may be used by firms working under the manufacturing sector.


Author(s):  
Ahmet Çalık

Industry 4.0 (I4.0), which reshapes traditional production and operation methods and causes companies to be under digital transformation, is currently an evolving research topic. Although advanced technologies can be easily adopted by large companies. In particular, there are still challenges in the adoption and implementation of I4.0 technologies in small and medium-sized enterprises (SMEs). This study examines the readiness of companies in the machinery manufacturing industry to implement I4.0 technologies in the context of SMEs. To achieve this goal, a multi-criteria decision-making (MCDM) approach including the pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) and fuzzy VIKOR (FVIKOR) is proposed. First, existing readiness models linked to the implementation of I4.0 technologies have been studied to specify key enablers. Then, the PFAHP method is used to obtain weights of enablers on I4.0 technologies. Finally, FVIKOR is applied to obtain ranking for five companies. A case study is conducted to measure the level of readiness of five manufacturing companies in Konya.


2021 ◽  
Vol 13 (24) ◽  
pp. 13956
Author(s):  
Hamed Gholami ◽  
Falah Abu ◽  
Jocelyn Ke Yin Lee ◽  
Sasan Sattarpanah Karganroudi ◽  
Safian Sharif

The manufacturing industry has undergone numerous revolutions over the years, with a unanimous acceptance of the greater benefits of being sustainable. The present industrial wave—Industry 4.0—by using its enabling technologies and principles holds great potential to develop sustainable manufacturing paradigms which require balancing out the three fundamental elements —products, processes, and systems. Yet, numerous stakeholders, including industrial policy and decision makers, remain oblivious of such potential and requirements. Thus, this bibliometric study is aimed at presenting an overview of the broad field of research on the convergence of sustainable manufacturing and Industry 4.0 under the umbrella of “Sustainable Manufacturing 4.0”, which has yet to be developed. It includes the dissemination of original findings on pathways and practices of Industry 4.0 applied to the development of sustainable manufacturing, contributing a bibliometric structure of the literature on the aforementioned convergence to reveal how Industry 4.0 could be used to shift the manufacturing sector to a more sustainable-based state. An initial research agenda for this emerging area has accordingly been presented, which may pave the way for having a futuristic view on Sustainable Manufacturing 5.0 in the next industrial wave, i.e., Industry 5.0.


Author(s):  
Ravinder Kumar

This is an era of information technology and Industry 4.0 in the manufacturing sector. Globalization and spread of technology have leveled the field of competition among all economies. With aforementioned development, there is a need for sustainable manufacturing practices to justify the use of natural resources all over the globe. Both developed and developing economies should adopt the sustainable practices of manufacturing. On other hand, managing challenges of sustainable manufacturing is an uphill task for manufacturing organizations for several reasons. In this chapter, the author has analyzed the challenges of sustainable manufacturing by using DEMATEL technique to differentiate them in cause and effect challenges. This differentiation can further help in effective analysis of these challenges. From practical and managerial viewpoints, this study can help the policymakers and strategy planners of manufacturing organizations in better understanding of sustainability and its aspects. Further, it can help in developing policies on sustainable manufacturing on national and international level both in developed and developing economies.


Sign in / Sign up

Export Citation Format

Share Document