Dheeraj Nimawat and B.D. Gidwani
Industry 4.0 implementation appears to have a far-reaching effect on consumer demand. Research findings on market prospects and implementation status are also rare. The purpose of…
Abstract
Purpose
Industry 4.0 implementation appears to have a far-reaching effect on consumer demand. Research findings on market prospects and implementation status are also rare. The purpose of this study is to address the essential factors regarding the implementation status of the Indian manufacturing industries that would entail a complete implementation of the Industry 4.0 innovations in developing nations and execute them entirely to achieve related benefits.
Design/methodology/approach
The primary factors impacting the Industry 4.0 implementation status recognized a focus on comprehensive literature analysis and its validation by recommendations from 12 specialists with substantial expertise in Industry 4.0. The DEMATEL technique has been implemented in this analysis to examine the structure of causal interactions among the recognized essential factors.
Findings
From a literature analysis and recommendations from specialists, 16 essential factors are recognized. Using DEMATEL techniques, ranking of the essential factors has been obtained according to their importance. Moreover, the findings show the cause and effect interactions among essential factors in the perspective of Industry 4.0 innovations in Indian manufacturing industries.
Research limitations/implications
The current research is restricted to Indian manufacturing industries (developing nations).
Practical implications
It will help industries move towards an Industry 4.0 implementation by knowing their status. A research model is being developed, including specific vital features of Industry 4.0 as indicators for its implementation. Nevertheless, few are renowned for how industries, especially in developing nations, perceive the possible effects of Industry 4.0 technological innovations and industrial efficiency.
Originality/value
To the best of the authors’ knowledge, the present research contributes first to be carried out regarding the model of information about the nature of causal interactions among the recognized essential factors of Industry 4.0 in the surrounding of Indian manufacturing industries to address the implementation status of Industry 4.0 innovations using DEMATEL technique.
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Dheeraj Nimawat and B.D. Gidwani
Industry 4.0 is regarded as a modern industrial phase wherein convergence between horizontal and vertical production systems, along with their interactions, would enable…
Abstract
Purpose
Industry 4.0 is regarded as a modern industrial phase wherein convergence between horizontal and vertical production systems, along with their interactions, would enable industries to obtain excellent industrial efficiency. This research thus explores the barriers relevant to Industry 4.0 and their cause and effect relations using the decision-making trial and evaluation laboratory (DEMATEL) technique, and this will assist in the implementation of Industry 4.0 in manufacturing industries.
Design/methodology/approach
A comprehensive literature review is carried out to outline the barriers for the Industry 4.0 implementation. The investigative techniques used in this research were conducted utilizing a questionnaire as an instrument for collecting data. The data collected were analysed using the method DEMATEL.
Findings
The findings indicate that key barriers to implementing Industry 4.0 include their cause and effect relationships. Reported “implementation costs” have been a critical barrier for Industry 4.0 implementation. Prioritization of barriers and their cause and effect relationships was achieved so that decision-makers could concentrate on overcoming such barriers for Industry 4.0 implementation.
Practical implications
The research is intended to assist executives in recognizing the barriers to Industry 4.0 implementation in their manufacturing industries. Furthermore, the strong functional and empirical importance of emerging and digital manufacturing technologies ensures that understanding the necessary barriers to implementation is important.
Originality/value
This is one of the first few empirical studies in the field of Indian manufacturing industries that uses the DEMATEL method framework as a foundation for recognizing cause-effect interactions among the barriers that affect Industry 4.0.
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Dheeraj Nimawat and B.D. Gidwani
The purpose of the paper is to visualize the priorities of important factors towards the status of Industry 4.0 implementation in Indian manufacturing industries by utilizing the…
Abstract
Purpose
The purpose of the paper is to visualize the priorities of important factors towards the status of Industry 4.0 implementation in Indian manufacturing industries by utilizing the analytic hierarchy process (AHP) and analytic network process (ANP) techniques.
Design/methodology/approach
Based on a review of relevant literature, the authors recognized four criteria and 16 critical factors that have been validated by academic and industry experts. AHP and ANP models are then developed to evaluate the requirements and essential elements of the Industry 4.0 implementation. The outcomes were validated with the aid of sensitivity analysis.
Findings
The above models offer the industry a clear and straightforward way to understand the critical factors in the status of Industry 4.0 implementation. The two techniques have emerged to be influential in deciding the status of Industry 4.0 implementation. The two methods yielded almost identical outcomes. Both methods take into account the industry's specific needs based on their available capacity.
Practical implications
Decision-makers and specialists will use the strategies discussed in this paper to effectively include the implementation status of Industry 4.0 in their industries, based on their ability to make arrangements for proper implementation of Industry 4.0 and to concentrate on top priority factors when implementing Industry 4.0 at their workplace.
Originality/value
The contribution of this research is that it is the first to be carried out with a view to both AHP and ANP to analyze important factors regarding the implementation status of Industry 4.0 and authentication through sensitivity analysis methods; this is a recent initiative in Industry 4.0.
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Vikrant Sharma, B.D. Gidwani, Vikram Sharma and M.L. Meena
The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process…
Abstract
Purpose
The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods.
Design/methodology/approach
Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis.
Findings
These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability.
Practical implications
The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners.
Originality/value
The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.
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Seema Laddha and Anguja Agrawal
The objective of this research is to investigate the barriers impacting the integration of Industry 5.0 (I5.0) in supply chain sustainability. By understanding these challenges…
Abstract
Purpose
The objective of this research is to investigate the barriers impacting the integration of Industry 5.0 (I5.0) in supply chain sustainability. By understanding these challenges, this study aims to provide valuable insights that can guide organizations in successfully implementing the transformative potential of I5.0. The ultimate aim is to improve operational efficiency and advocate for sustainable practices within supply chains.
Design/methodology/approach
Research has used industry expert interviews, a comprehensive literature review and the decision-making trial and evaluation laboratory approach for analysis. Industry expert interviews serve to capture first-hand insights from professionals well versed in the field, providing practical perspectives on the barriers to I5.0 adoption.
Findings
This study identifies technological challenges, organizational barriers, regulatory impediments and economic constraints as pivotal factors inhibiting the widespread adoption of I5.0 in supply chain sustainability.
Research limitations/implications
This research serves as a foundation for future investigations into overcoming barriers to I5.0 adoption, guiding scholars and practitioners in refining strategies for successful implementation.
Practical implications
The findings offer practical insights for organizations aiming to adopt I5.0, informing decision-makers on key challenges and facilitating the development of targeted strategies to overcome them.
Social implications
The social implications lie in fostering sustainable business practices through the adoption of I5.0, contributing to environmental responsibility and societal well-being.
Originality/value
This research contributes original insights from practitioners, policymakers and researchers in navigating the complex landscape of I5.0 adoption, ensuring meaningful contributions to both academia and industry.
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Chinedu Onyeme and Kapila Liyanage
This study investigates the integration of Industry 4.0 (I4.0) technologies with condition-based maintenance (CBM) in upstream oil and gas (O&G) operations, focussing on…
Abstract
Purpose
This study investigates the integration of Industry 4.0 (I4.0) technologies with condition-based maintenance (CBM) in upstream oil and gas (O&G) operations, focussing on developing countries like Nigeria. The research identifies barriers to this integration and suggests solutions, intending to provide practical insights for improving operational efficiency in the O&G sector.
Design/methodology/approach
The study commenced with an exhaustive review of extant literature to identify existing barriers to I4.0 implementation and contextualise the study. Subsequent to this foundational step, primary data are gathered through the administration of carefully constructed questionnaires targeted at professionals specialised in maintenance within the upstream O&G sector. A semi-structured interview was also conducted to elicit more nuanced, contextual insights from these professionals. Analytically, the collected data were subjected to descriptive statistical methods for summarisation and interpretation with a measurement model to define the relationships between observed variables and latent construct. Moreover, the Relative Importance Index was utilised to systematically prioritise and rank the key barriers to I4.0 integration to CBM within the upstream O&G upstream sector.
Findings
The most ranked obstacles in integrating I4.0 technologies to the CBM strategy in the O&G industry are lack of budget and finance, limited engineering and technological resources, lack of support from executives and leaders of the organisations and lack of competence. Even though the journey of digitalisation has commenced in the O&G industry, there are limited studies in this area.
Originality/value
The study serves as both an academic cornerstone and a practical guide for the operational integration of I4.0 technologies within Nigeria's O&G upstream sector. Specifically, it provides an exhaustive analysis of the obstacles impeding effective incorporation into CBM practices. Additionally, the study contributes actionable insights for industry stakeholders to enhance overall performance and achieve key performance indices (KPIs).
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Poonam Sahoo, Pavan Kumar Saraf and Rashmi Uchil
Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop…
Abstract
Purpose
Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries.
Design/methodology/approach
The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results.
Findings
The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries.
Practical implications
The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries.
Originality/value
Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.
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Pradeep Kumar Tarei and Santosh Kumar
This paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions…
Abstract
Purpose
This paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.
Design/methodology/approach
An integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.
Findings
The results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).
Research limitations/implications
During this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.
Originality/value
The paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.
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Shubham Tripathi and Manish Gupta
The article analyses the current readiness of India to transform its supply chain ecosystem to smarter systems with Fourth Industrial Revolution.
Abstract
Purpose
The article analyses the current readiness of India to transform its supply chain ecosystem to smarter systems with Fourth Industrial Revolution.
Design/methodology/approach
The analysis is carried out in two stages. First, the readiness of India is assessed globally, and then the rate of transformation over the years and supporting policies are analyzed to understand the transformation potential. This analysis is done across nine identified macro factors namely government support, regulations, business environment, human resource, infrastructure, innovation capability, technological advancements, cybersecurity and digital awareness. The study combines empirical data from 2010 onwards with the strategic literature published by government bodies and institutions for analysis.
Findings
Results show that India's readiness is just above the global average with a score of 0.44 on a scale of 0–1 (most ready). Government and start-up culture are found to be leading transformation factors, while digital infrastructure, regulations and cybersecurity are most lacking areas.
Originality/value
This study is first of its kind to the best of our knowledge. The academic literature has not reported studies assessing Industry 4.0 readiness of supply chain ecosystem using macro factors for nations.
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Productivity is a multidimensional and context-dependent concept. Therefore, many different definitions and consequently, many different approaches to productivity measurement…
Abstract
Purpose
Productivity is a multidimensional and context-dependent concept. Therefore, many different definitions and consequently, many different approaches to productivity measurement (PM) exist in the literature. As a result, the understanding of productivity and the appropriate use of PM approaches are at a low level. The literature provides some overviews, but these overviews consider only a few selected individual aspects. Therefore, the overviews do not allow a comprehensive comparison and evaluation of existing approaches. This paper aims to give an overview of existing approaches to PM and to classify them according to elaborated criteria based on the main characteristics of productivity.
Design/methodology/approach
Literature review for existing approaches to PM using the following keywords: productivity, PM, productivity measure, labour productivity and labor productivity.
Findings
A total of 38 approaches are identified and listed between 1955 and 2020. The main result is a systematic overview and classification of existing approaches to PM.
Research limitations/implications
Researchers can use the overview to determine the development over time, the current state of research in the field of PM and identify research gaps. The classification can also be used to classify new approaches.
Practical implications
Companies can use the classification as a guide to identifying appropriate approaches to measuring productivity in corporate practice.
Originality/value
This paper enables a comprehensive comparison and evaluation of existing approaches to PM. Also, the understanding of the multidimensional character of the productivity concept is enhanced.