Statistics for industries: A sophisticated approach

Abstract

Six-Sigma is a statistical attitude -not judgment or sentiment. It is about statistical facts that assist the authorities to spotlight their concentration on the progression arrangement rather than on individuals and get assessments based on reality and unbiased information but not on impracticable prospects. Six-Sigma is an integrated approach to involve everything within the organization for reducing defects and variation. It is a combination of all efforts in an association for quality enhancement, quality progress and quality protection to reach the optimum clients satisfaction. The primary objective of Six-Sigma methodology is always directed towards the perfection at any level whether financial or non-financial. Putting efforts rightly and maintaining consistency are the basic concepts behind successful implementation of Six-Sigma. The present work provides a way to examine the Six-Sigma practice in a manufacturing firm with the use of statistical thinking in getting high quality products by reducing the variation and ultimately increasing profit.

The Importance of Decision Tree Analysis on Strategic Management Practice: Evidence from Retail Industries in US

“…Given the adoption of the decision tree analysis by these firms, Meghan (2020) observed through the electronic word of mouth (e-WOM) that consumer was more satisfied than how they used to before the adoption of the decision tree analysis. This finding cointegrates with the findings of Kaushik, Dahiya and Mittal (2017) in their study. Given this, recommendations were that companies that seeks traffic even in their online platform should adopt and use the decision tree analysis.…”

“…On the converse, decision tree also helps firms, especially retail firms to better understand their customers and study their psychology (Kaushik, Dahiya and Mittal 2017). In other words, decision tree helps firms to study the decisions their customers are likely to take, given all other available options.…”

Seismic Microzonation: A Case Study

“…It certainly helps the administration and government to take the necessary measures before any calamity happens. More work on such technique is proposed in concerned area using classical techniques like fuzzy logic Mittal et al [6], multiple attribute decision making MADM Mittal et al [7], Six-sigma Kaushik et al [8] etc.…”

Initiatives of six-sigma in an automotive ancillary unit: A case study

“…For SME sector to become successful in the present competitive scenario, the strategy needs to be innovative (Biswas & Chowdhury 2016). SME sector needs immediate attention due to its participation in global progress in form of breakthrough strategy other than Statistical Process Control (SPC) (Kaushik et al, 2017a). In order to achieve customer satisfaction, researchers and industrialists around the world have worked over various tools (Kaushik et al, 2017b,c) and techniques like Total Quality Management (TQM), Quality circles (Mittal & Prajapati 2014), APQP Mittal et al, , 2012, Shainin system , Quality Function Deployment (QFD) Tewari et al, 2017), Decision Tree Analysis (Mittal et al, 2017;Mittal et al, 2017a), Fuzzy logic , Total Preventive Maintenance (TPM), Business Process Reengineering , Lean and Six Sigma Kaushik et al, 2016a).…”