Developing an Industry 4.0 Readiness Model for Indian Engineering Industries

Sony, Michael; Aithal, P. S.

doi:10.47992/ijmts.2581.6012.0110

Cited by 24 publications

(10 citation statements)

References 43 publications

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“…In addition, some other skills such as creativity, problem-solving, teamwork and critical thinking are also required (Ras et al , 2017). Thus, for the successful application of Industry 4.0 in developing economies, training, skill development and upskilling are of prime importance (Sony and Aithal, 2020).…”

Section: Introductionmentioning

confidence: 99%

3D printing towards implementing Industry 4.0: sustainability aspects, barriers and challenges

Malik

Haq

Raina

et al. 2022

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Purpose Environmental degradation has emerged as one of the major limitations of industrial revolution and has led to an increased focus towards developing sustainable strategies and techniques. This paper aims to highlight the sustainability aspects of three-dimensional (3D) printing technology that helps towards a better implementation of Industry 4.0. It also aims to provide a brief picture of relationships between 3D printing, Industry 4.0 and sustainability. The major goal is to facilitate the researchers, scholars, engineers and recommend further research, development and innovations in the field. Design/methodology/approach The various enabling factors for implementation of Industry 4.0 are discussed in detail. Some barriers to incorporation of 3D Printing, its applications areas and global market scenario are also discussed. A through literature review has been done to study the detailed relationships between 3D printing, Industry 4.0 and sustainability. Findings The technological benefits of 3D printing are many such as weight savings, waste minimization and energy savings. Further, the production of new 3D printable materials with improved features helps in reducing the wastage of material during the process. 3D printing if used at a large scale would help industries to implement the concept of Industry 4.0. Originality/value This paper focuses on discussing technological revolution under Industry 4.0 and incorporates 3D printing-type technologies that largely change the product manufacturing scenario. The interrelationships between 3D printing, Industry 4.0 and sustainability have been discussed.

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Section: Introductionmentioning

confidence: 99%

3D printing towards implementing Industry 4.0: sustainability aspects, barriers and challenges

Malik

Haq

Raina

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Sony and Aithal (2020) developed a multi-dimensional readiness model of Industry 4.0 by an in-depth review of the research literature, and then the model was qualitatively analyzed using the ABCD framework, and its advantages, disadvantages, and challenges were discussed. Grufman et al .…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Nick et al (2019) and Grufman et al (2020) used the same dimensions to assess Industry 4.0 readiness in their studies. On the other hand, Trstenjak and Opetuk (2020) and Sony and Aithal (2020) analyzed the technical aspect of readiness using smart factory, smart operations, and smart products as the dimensions and the managerial aspect of readiness including strategy and organization, employees, leadership and culture as the dimensions. VMG model focused more on business models, products and services portfolio, value chain and legal considerations as well as strategy and organization, smart factory and smart products.…”

Section: Dimensions and Indicators Of The Industry 40 Readiness Modelmentioning

confidence: 99%

An Industry 4.0 readiness model for new technology exploitation

Ansari

Barati

Moghadam

et al. 2023

IJQRM

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PurposeConsidering the importance and the broad applications of the Fourth Industrial Revolution in various organizations and industries and enjoying the many benefits of this digital transformation framework, organizations need to measure their Industry 4.0 readiness as a starting point and take steps to achieve the strategic goals of Industry 4.0. This study aims to design a comprehensive and practical model that can determine Industry 4.0 readiness level, allowing organizations to implement and exploit technological constituents of this phenomenon.Design/methodology/approachA systematic literature review (SLR) methodology was used to evaluate and summarize a clear and comprehensive literature overview of Industry 4.0 readiness models and to certify the validity and transparency of the review process. After reviewing 71 articles and survey and then the consensus of Industry 4.0 experts, the 10 dimensions of the 4.0 Industry readiness model were finalized with their indicators having the most frequency in the published articles and models.FindingsThe application of the SLR to the development of the new Industry 4.0 readiness model which includes 10 dimensions and 37 indicators and can assess the Industry 4.0 readiness of firms and industries accurately and effectively.Research limitations/implicationsAn extensive review of the previous literature yielded the current Industry 4.0 readiness model. The comprehensiveness of this model leads to its wide application in different companies. Future research suggestions are presented at the end of the manuscript.Practical implicationsThe concept of the Fourth Industrial Revolution and the application of its technologies are vague and complicated for many organizations and managers, while the need to implement the components and technologies of Industry 4.0 is essential to achieve organizational goals. The presented readiness model helps companies to measure their readiness to enter the Fourth Industrial Revolution and achieve long-term goals.Originality/valueIn this study, an attempt was made to examine the Industry 4.0 readiness models thoroughly and extensively and identify their different approaches. Finally, a comprehensive and multi-dimensional readiness model is presented to assess the position of organizations in order to enter Industry 4.0.

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“…Despite positive experiences and benefits harnessed by companies and strong political will, there is very little acceptance of the I4.0 vision in reality. Past studies have found prominent barriers, like capital investment requirements and unclear cost-benefit analysis of the I4.0 applications (Sony and Aithal 2020), missing clearcut investment plans, lack of practical change management approach, lack of appropriate skills, lack of support from trade unions, lack of digital leadership, and unclear digital vision (Türkeş et al 2019) responsible to this low response from the industries. Moreover, inadequate internet connectivity, insufficient data protection, and IT infrastructure converge into extreme challenges, which may create havoc if not attended to at the right time while adopting I4.0 (Khanzode et al 2021;Luthra and Mangla 2018).…”

Section: Introductionmentioning

confidence: 99%

Model development for assessing inhibitors impacting Industry 4.0 implementation in Indian manufacturing industries: an integrated ISM-Fuzzy MICMAC approach

Gadekar¹,

Sarkar

Gadekar

2022

Int J Syst Assur Eng Manag

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Industry 4.0 (I4.0) adoption is becoming predominant in manufacturing industries due to its limitless opportunities. Even though companies are interested in adopting digitalization, several perceived barriers stymied them. However, in the interest of its smooth adoption, these perceived barriers must be addressed urgently. This research aims to analyze the broader spectrum of possible barriers that impede the implementation of I4.0 and converge them into the most prominent inhibitors, further assessing these inhibitors to develop contextual relationships among them. A comprehensive literature review and an empirical research-based survey considering a large sample size are used to address the study’s research objectives. Industry and academia experts’ inputs are considered to derive the I4.0 implementation barrier’s current prominence. The interrelationship among extracted twelve significant inhibitors through principle component analysis (PCA) is modeled using interpretive structural modeling (ISM) to manifest each inhibitor’s direct and indirect effect. Fuzzy matriced’ impacts croise’s multiplication applique’e a’ un classement (MICMAC) analysis is further considered to classify these inhibitors into drivers and dependents. The study depicts inadequate organizational strategies, uncertainty about financial decision making, limited employee readiness, inconsistent legal and government policies, Insufficient IT and automation infrastructure as the most prominent driver inhibitors of the I4.0 adoption. An integrated novel PCA-ISM Fuzzy MICMAC model developed in this research paper is unique and used for the first time to establish the hierarchical relationship among I4.0 implementation inhibitors considering the post-COVID-19 scenario. This study offers practical insights and outcomes that will help researchers, decision-makers, and practitioners in unlocking the potential of I4.0 by dealing with its inhibitors efficaciously.

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Developing an Industry 4.0 Readiness Model for Indian Engineering Industries

Cited by 24 publications

References 43 publications

3D printing towards implementing Industry 4.0: sustainability aspects, barriers and challenges

3D printing towards implementing Industry 4.0: sustainability aspects, barriers and challenges

An Industry 4.0 readiness model for new technology exploitation

Model development for assessing inhibitors impacting Industry 4.0 implementation in Indian manufacturing industries: an integrated ISM-Fuzzy MICMAC approach

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