Investigating the Barriers to Quality 4.0 Adoption in the Indian Manufacturing Sector: Insights and Implications for Industry and Policymaking

Purpose: The research explores the shift to Quality 4.0, examining the move towards a data-focused transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: Firstly, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Secondly, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector. Design/methodology/approach: Employing Interpretive Structural Modelling (ISM) and Matrix Impact of Cross Multiplication Applied to Classification (MICMAC), we probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorised according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology-Organization-Environment (TOE) framework. Findings: The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organisational barriers is marginal, contrary to theoretical postulations emphasising their central significance in Quality 4.0 assimilation. Originality: This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE (Technology-Organization-Environment) framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between 'Lack of standards for Quality 4.0' and 'Lack of standardised Big Data Analytics (BDA) tools and solutions', providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0. Practical implications: This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards

Program Package for the Numerical Solution of the Free Surface Wave Flow About the Wigley Hull

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Research / N00014-80-C-0740 (NR334-004

Nonlinear Solutions of the Wigley Hull

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Research / N00014-80-C-0740 (NR334-004

Adopting Quality Management Practices in the Industry 4.0 Era: An Investigation into the Challenges

In this transformative phase of Industry 4.0, the integration of advanced digital technologies into traditional manufacturing processes presents a paradigm shift in quality management. This seminal study ventures into the forefront of this transition, uncovering the intricate challenges impeding the adoption of Quality Management Practices (QMP) amidst digital innovation. Leveraging a comprehensive survey with 172 quality management professionals, alongside the methodological rigour of Exploratory Factor Analysis (EFA) and the Analytical Hierarchy Process (AHP), our research delineates fifteen pivotal barriers to the harmonious integration of digital technologies with quality management systems. Predominantly, ‘Organisational Behaviour’ and ‘Information Technology and Governance’ surface as critical dimensions, outlining the complex landscape stakeholders must navigate. Central to our findings are leadership, cybersecurity, data protection, and organisational structure, underscored as the primary challenges that demand strategic focus. This investigation offers a pioneering framework for global stakeholders, illuminating a path forward in the quest for Quality 4.0. It marks a significant contribution to the literature by proposing a roadmap for organisations striving for excellence and innovation in the Industry 4.0 era, advocating for a seamless fusion of digital transformation and quality management

Embracing drones and the Internet of drones systems in manufacturing – An exploration of obstacles

The manufacturing sector attributes the growing prominence of Drones and the Internet of Drones (IoD) systems to their multifaceted utility in delivery, process monitoring, infrastructure inspection, inventory management, predictive maintenance, and safety inspections. Despite their potential benefits, adopting these technologies faces significant obstacles that need systematic identification and resolution. The current literature inadequately addresses the barriers impeding the adoption of Drones and IoD systems in manufacturing, indicating a research gap. This study bridges this gap by providing comprehensive insights and facilitating the organisational transition towards embracing Drone and IoD technologies. This research identifies 20 critical barriers to deploying Drones and IoD in manufacturing. These barriers are validated through a global quantitative survey of 120 Drone experts and analysed via Exploratory Factor Analysis (EFA). EFA categorises these challenges into six distinct dimensions. Utilising the Analytical Hierarchy Process (AHP), these dimensions and individual barriers are ranked, incorporating feedback from five Drone specialists. The study highlights ‘Safety and Human Resource Barriers’ and ‘Payload Capacity and Battery Barriers’ as the most predominant obstacles. Key concerns include limited battery life, explosion risks, and potential damage to assets and individuals. This research significantly advances the existing literature by presenting a practical methodology for categorising and prioritising Drone and IoD adoption barriers. Employing EFA and AHP offers a globally relevant framework for stakeholders to strategically address these challenges, advancing the integration of drones and IoD systems in the manufacturing domain

Statefinder diagnostic and stability of modified gravity consistent with holographic and new agegraphic dark energy

Recently one of us derived the action of modified gravity consistent with the holographic and new-agegraphic dark energy. In this paper, we investigate the stability of the Lagrangians of the modified gravity as discussed in [M. R. Setare, Int. J. Mod. Phys. D 17 (2008) 2219; M. R. Setare, Astrophys. Space Sci. 326 (2010) 27]. We also calculate the statefinder parameters which classify our dark energy model.Comment: 12 pages, 2 figures, accepted by Gen. Relativ. Gravi

Emergent Antiferromagnetism Out Of The "hidden-order" State In Uru2si2: High Magnetic Field Nuclear Magnetic Resonance To 40 T

Very high field Si29-NMR measurements using a fully Si29-enriched URu2Si2 single crystal were carried out in order to microscopically investigate the "hidden order" (HO) state and adjacent magnetic phases in the high field limit. At the lowest measured temperature of 0.4 K, a clear anomaly reflecting a Fermi surface instability near 22 T inside the HO state is detected by the Si29 shift, Kc29. Moreover, a strong enhancement of Kc29 develops near a critical field Hc≃35.6T, and the Si29-NMR signal disappears suddenly at Hc, indicating the total suppression of the HO state. Nevertheless, a weak and shifted Si29-NMR signal reappears for fields higher than Hc at 4.2 K, providing evidence for a magnetic structure within the magnetic phase caused by the Ising-type anisotropy of the uranium ordered moments. © 2014 American Physical Society.11223DMR-0654118; NSF; National Stroke FoundationMydosh, J.A., Oppeneer, P.M., (2011) Rev. Mod. Phys., 83, p. 1301. , RMPHAT 0034-6861 10.1103/RevModPhys.83.1301Okazaki, R., Shibauchi, T., Shi, H.J., Haga, Y., Matsuda, T.D., Yamamoto, E., Onuki, Y., Matsuda, Y., (2011) Science, 331, p. 439. , SCIEAS 0036-8075 10.1126/science.1197358Kambe, S., Tokunaga, Y., Sakai, H., Matsuda, T.D., Haga, Y., Fisk, Z., Walstedt, R.E., (2013) Phys. Rev. Lett., 110, p. 246406. , PRLTAO 0031-9007 10.1103/PhysRevLett.110.246406Amitsuka, H., Sato, M., Metoki, N., Yokoyama, M., Kuwahara, K., Sakakibara, T., Morimoto, H., Mydosh, J.A., (1999) Phys. Rev. Lett., 83, p. 5114. , PRLTAO 0031-9007 10.1103/PhysRevLett.83.5114Matsuda, K., Kohori, Y., Kohara, T., Kuwahara, K., Amitsuka, H., (2001) Phys. Rev. Lett., 87, p. 087203. , PRLTAO 0031-9007 10.1103/PhysRevLett.87.087203Kim, K.H., Harrison, N., Jaime, M., Boebinger, G.S., Mydosh, J.A., (2003) Phys. Rev. Lett., 91, p. 256401. , PRLTAO 0031-9007 10.1103/PhysRevLett.91.256401Kim, K.H., Harrison, N., Amitsuka, H., Jorge, G.A., Jaime, M., Mydosh, J.A., (2004) Phys. Rev. Lett., 93, p. 206402. , PRLTAO 0031-9007 10.1103/PhysRevLett.93.206402Correa, V.F., Francoual, S., Jaime, M., Harrison, N., Murphy, T.P., Palm, E.C., Tozer, S.W., Mydosh, J.A., (2012) Phys. Rev. Lett., 109, p. 246405. , PRLTAO 0031-9007 10.1103/PhysRevLett.109.246405Shishido, H., Hashimoto, K., Shibauchi, T., Sasaki, T., Oizumi, H., Kobayashi, N., Takamasu, T., Matsuda, Y., (2009) Phys. Rev. Lett., 102, p. 156403. , PRLTAO 0031-9007 10.1103/PhysRevLett.102.156403Sugiyama, K., Fuke, H., Kindo, K., Shimohata, K., Menovsky, A.A., Mydosh, J.A., Date, M., (1990) J. Phys. Soc. Jpn., 59, p. 3331. , JUPSAU 0031-9015 10.1143/JPSJ.59.3331Sugiyama, K., Nakashima, M., Ohkuni, H., Kindo, K., Haga, Y., Honma, T., Yamamoto, E., Onuki, Y., (1999) J. Phys. Soc. Jpn., 68, p. 3394. , JUPSAU 0031-9015 10.1143/JPSJ.68.3394Kohori, Y., Matsuda, K., Kohara, T., (1996) J. Phys. Soc. Jpn., 65, p. 1083. , JUPSAU 0031-9015 10.1143/JPSJ.65.1083Takagi, S., Ishihara, S., Saitoh, S., Sasaki, H., Tanida, H., Yokoyama, M., Amitsuka, H., (2007) J. Phys. Soc. Jpn., 76, p. 033708. , JUPSAU 0031-9015 10.1143/JPSJ.76.033708Altarawneh, M.M., Harrison, N., Sebastian, S.E., Balicas, L., Tobash, P.H., Thompson, J.D., Ronning, F., Bauer, E.D., (2011) Phys. Rev. Lett., 106, p. 146403. , PRLTAO 0031-9007 10.1103/PhysRevLett.106.146403Altarawneh, M.M., Harrison, N., Li, G., Balicas, L., Tobash, P.H., Ronning, F., Bauer, E.D., (2012) Phys. Rev. Lett., 108, p. 066407. , PRLTAO 0031-9007 10.1103/PhysRevLett.108.066407Oppeneer, P.M., Rusz, J., Elgazzar, S., Suzuki, M.-T., Durakiewicz, T., Mydosh, J.A., (2010) Phys. Rev. B, 82, p. 205103. , PRBMDO 1098-0121 10.1103/PhysRevB.82.205103Ikeda, H., Suzuki, M.-T., Arita, R., Takimoto, T., Shibauchi, T., Matsuda, Y., (2012) Nat. Phys., 8, p. 528. , NPAHAX 1745-2473 10.1038/nphys2330Kawasaki, Y., Ishida, K., Kitaoka, Y., Asayama, K., (1998) Phys. Rev. B, 58, p. 8634. , PRBMDO 0163-1829 10.1103/PhysRevB.58.8634Sakai, H., Tokunaga, Y., Kambe, S., Matsumoto, Y., Matsuda, T.D., Haga, Y., (2013) J. Korean Phys. Soc., 63, p. 352. , KPSJAS 0374-4884 10.3938/jkps.63.352Kawarazaki, S., Sato, M., Miyako, Y., Chigusa, N., Watanabe, K., Metoki, N., Koike, Y., Nishi, M., (2000) Phys. Rev. B, 61, p. 4167. , PRBMDO 0163-1829 10.1103/PhysRevB.61.4167Kuwahara, K., Yoshii, S., Nojiri, H., Aoki, D., Knafo, W., Duc, F., Fabrèges, X., Flouquet, J., (2013) Phys. Rev. Lett., 110, p. 216406. , PRLTAO 0031-9007 10.1103/PhysRevLett.110.216406http://link.aps.org/supplemental/10.1103/PhysRevLett.112.23640

QCD ghost f(T)-gravity model

Within the framework of modified teleparallel gravity, we reconstruct a f(T) model corresponding to the QCD ghost dark energy scenario. For a spatially flat FRW universe containing only the pressureless matter, we obtain the time evolution of the torsion scalar T (or the Hubble parameter). Then, we calculate the effective torsion equation of state parameter of the QCD ghost f(T)-gravity model as well as the deceleration parameter of the universe. Furthermore, we fit the model parameters by using the latest observational data including SNeIa, CMB and BAO data. We also check the viability of our model using a cosmographic analysis approach. Moreover, we investigate the validity of the generalized second law (GSL) of gravitational thermodynamics for our model. Finally, we point out the growth rate of matter density perturbation. We conclude that in QCD ghost f(T)-gravity model, the universe begins a matter dominated phase and approaches a de Sitter regime at late times, as expected. Also this model is consistent with current data, passes the cosmographic test, satisfies the GSL and fits the data of the growth factor well as the LCDM model.Comment: 19 pages, 9 figures, 2 tables. arXiv admin note: substantial text overlap with arXiv:1111.726

Search for a W' boson decaying to a bottom quark and a top quark in pp collisions at sqrt(s) = 7 TeV

Results are presented from a search for a W' boson using a dataset corresponding to 5.0 inverse femtobarns of integrated luminosity collected during 2011 by the CMS experiment at the LHC in pp collisions at sqrt(s)=7 TeV. The W' boson is modeled as a heavy W boson, but different scenarios for the couplings to fermions are considered, involving both left-handed and right-handed chiral projections of the fermions, as well as an arbitrary mixture of the two. The search is performed in the decay channel W' to t b, leading to a final state signature with a single lepton (e, mu), missing transverse energy, and jets, at least one of which is tagged as a b-jet. A W' boson that couples to fermions with the same coupling constant as the W, but to the right-handed rather than left-handed chiral projections, is excluded for masses below 1.85 TeV at the 95% confidence level. For the first time using LHC data, constraints on the W' gauge coupling for a set of left- and right-handed coupling combinations have been placed. These results represent a significant improvement over previously published limits.Comment: Submitted to Physics Letters B. Replaced with version publishe

Search for the standard model Higgs boson decaying into two photons in pp collisions at sqrt(s)=7 TeV

A search for a Higgs boson decaying into two photons is described. The analysis is performed using a dataset recorded by the CMS experiment at the LHC from pp collisions at a centre-of-mass energy of 7 TeV, which corresponds to an integrated luminosity of 4.8 inverse femtobarns. Limits are set on the cross section of the standard model Higgs boson decaying to two photons. The expected exclusion limit at 95% confidence level is between 1.4 and 2.4 times the standard model cross section in the mass range between 110 and 150 GeV. The analysis of the data excludes, at 95% confidence level, the standard model Higgs boson decaying into two photons in the mass range 128 to 132 GeV. The largest excess of events above the expected standard model background is observed for a Higgs boson mass hypothesis of 124 GeV with a local significance of 3.1 sigma. The global significance of observing an excess with a local significance greater than 3.1 sigma anywhere in the search range 110-150 GeV is estimated to be 1.8 sigma. More data are required to ascertain the origin of this excess.Comment: Submitted to Physics Letters