Journal ArticleDOI
Prioritization of important factors towards the status of industry 4.0 implementation utilizing AHP and ANP techniques
Dheeraj Nimawat,B.D. Gidwani +1 more
TLDR
In this paper, the authors present the AHP and ANP models to evaluate the requirements and essential elements of the Industry 4.0 implementation in Indian manufacturing industries by utilizing the analytic hierarchy process (AHP) and analytic network process (ANP) techniques.Abstract:
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.,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.,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.,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.,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.read more
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Prasanta Kumar Dey,Walid Cheffi +1 more
TL;DR: In this paper, an analytical framework for measuring the environmental performance of manufacturing supply chains was developed and deployed for the purpose of developing an innovative green supply chain performance measurement framework by integrating supply chain processes with organizational decision levels.
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The Influence of the Industrial Internet of Things on Business Model Design: A Qualitative-Empirical Analysis
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TL;DR: In this article, the authors present an in-depth analysis of business model changes manufacturing firms employ to adequately react to this technological development against the background of a multiple-case study, identifying and characterising three archetypes of business models manufacturing firms implement in order to benefit from opportunities provided by the Industrial Internet of Things.
Journal ArticleDOI
Identification of cause and effect relationships among barriers of Industry 4.0 using decision-making trial and evaluation laboratory method
Dheeraj Nimawat,B.D. Gidwani +1 more
TL;DR: In this paper, the authors explored the barriers relevant to Industry 4.0 and their cause and effect relations using the decision-making trial and evaluation laboratory (DEMATEL) technique.
Journal ArticleDOI
Prioritization of barriers for Industry 4.0 adoption in the context of Indian manufacturing industries using AHP and ANP analysis
Dheeraj Nimawat,B.D. Gidwani +1 more
TL;DR: The article explores the prioritization of industry 4.0 adoption barriers in the context of Indian manufacturing industries utilizing the Analytical hierarchy process (AHP) and Analytic network process (ANP) analysis and validation through sensitivity analysis state-of-the-art in the area of Industry 5.0.
Journal ArticleDOI
A holistic model for Global Industry 4.0 readiness assessment
Shubham Tripathi,Manish Gupta +1 more
TL;DR: In this article, the authors present a comprehensive model for readiness assessment of nations based on rigorous analysis of several global indices and academic Industry 4.0 literature, considering overall socioeconomic development along with industrial innovation and seven readiness dimensions: enabling environment, human resource, infrastructure, ecological sustainability, innovation capability, cybersecurity and consumers.
References
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Journal ArticleDOI
How to make a decision: The analytic hierarchy process
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a multicriteria decision-making approach in which factors are arranged in a hierarchic structure, and the principles and philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.
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Decision making with the analytic hierarchy process
TL;DR: The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales that measure intangibles in relative terms.
Journal Article
Decision Making with the Analytic Hierarchy Process
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales, these scales are these scales that measure intangibles in relative terms.
Journal ArticleDOI
Co-creation experiences: The next practice in value creation
TL;DR: The meaning of value and the process of value creation are rapidly shifting from a product-and firm-centric view to personalized consumer experiences as discussed by the authors, and consumers are increasingly co-creating value with the firm.
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