Six Sigma beyond Manufacturing in IT Processes, IT Services and IT Products
Abstract
Any corporation that wants to survive, compete, and advance in the highly competitive business world of today must prioritise quality. Users, clients, or customers of the product determine its quality, not society at large. The goal is to reduce the number of errors or defects that a firm must manage and handle, not to fully eradicate them. Companies can adopt a methodical, all-encompassing strategy spanning top management all the way down to the operations level in managing daily activities with the aid of a relevant and adaptable quality improvement project. One of the cutting-edge approaches gaining traction in both IT and non-IT firms is Six Sigma. Six Sigma is no longer just a manufacturing-related approach.
References
Whig, Pawan, et al. "Adaptive Clinical Treatments and Reinforcement Learning for Automatic Disease diagnosis." AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management. IGI Global, 2022. 204-221.
Tunguturi, M., & Singu, S. (2016). Automation of human behaviors and its prediction . International Journal of Statistical Computation and Simulation, 8(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/53
Singu, S., & Tunguturi, M. (2014). More on Neural community and fuzzy device. International Journal of Statistical Computation and Simulation, 6(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/50
Singu, S., & Tunguturi, M. (2013). Fundamental standards and uses of big data analytics. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/47
Jiwani, Nasmin and Gupta, Ketan, Mitigating Cybersecurity Risks In Medical Devices Using Secure Implanted Techniques (August 2022). Nasmin Jiwani,Ketan Gupta, "MITIGATING CYBERSECURITY RISKS IN MEDICAL DEVICES USING SECURE IMPLANTED TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 8, pp.d175-d181, August 2022, Available at SSRN: https://ssrn.com/abstract=4205263
Whig, P., & Ahmad, S. N. (2014d). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.
Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.
Whig, P., Nadikattu, R. R., & Velu, A. (2022). COVID-19 pandemic analysis using application of AI. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 1.
Whig, P., Velu, A., & Bhatia, A. B. (2022). Protect Nature and Reduce the Carbon Footprint With an Application of Blockchain for IIoT. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 123–142). IGI Global.
Whig, P., Velu, A., & Naddikatu, R. R. (2022). The Economic Impact of AI-Enabled Blockchain in 6G-Based Industry. In AI and Blockchain Technology in 6G Wireless Network (pp. 205–224). Springer, Singapore.
Jiwani, N., Gupta, K., Sharif, M. H. U., Adhikari, N., & Afreen, N. (2022, October). A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal. In 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA) (pp. 1-5). IEEE.
Tunguturi, M. (2018). American & Indian Comics on Instagram using Machine learning. International Journal of Statistical Computation and Simulation, 10(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/60
Tunguturi, M. (2011). More on Big data to the world. International Journal of Statistical Computation and Simulation, 3(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/45
Tunguturi, M. (2009). More On Principles and Applications of Big Data Analytics. International Journal of Statistical Computation and Simulation, 1(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/43
Reddy, Yeruva Ramana, An Empirical Study on The Effect Of Spatial Variability of Block-Type Cement-Treated Ground on The Bearing Capacity Of Foundation Under Inclined Load (January 1, 2011). International Journal of Current Science (IJCSPUB), ISSN:2250-1770, Volume.1, Issue 1, pp.8-11, January 2011, Available at SSRN: https://ssrn.com/abstract=4211478
Reddy, Yeruva Ramana, Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions (June 1, 2014). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 1, page no.880-883, June-2014, Available at SSRN: https://ssrn.com/abstract=4211911
