| May 13th, 2017 12:26 PM | |
| Vishal Kotkar | Re: tp iit lectures The Six Sigma course will educate a centered managerial strategy of process change and variety decrease called Six Sigma, a measure of value that makes progress toward close flawlessness. It is a trained, information driven approach for dispensing with imperfections (driving towards six standard deviations between the mean and the closest detail constrain) in any procedure from assembling to value-based and from item to benefit. A Six Sigma deformity is anything outside of client determinations. To be labeled Six Sigma, a procedure must not deliver more than 3.4 deformities for every million open doors. To this end this course will traverse set up strategies for quality affirmation and administration, and progressed factual techniques including plan of analyses. Situated at the wilderness of present day quality methodologies, Six Sigma involves two structures DMAIC (characterize, measure, break down, enhance, control) and DMADV (characterize, measure, investigate, plan, confirm). This course will cover both. Contents: Basic concepts in Quality Engineering and Management: definitions, approaches and relevance to organizational excellence. Probability and Statistics-a review. Total Quality Management perspective, methodologies and procedures; Roadmap to TQM, ISO 9000, KAIZEN, Quality Circles, Quality Models for organizational excellence. Cost of Quality concepts; finding incentives for improving quality. Overview of Project Management. Measurements, Accuracy, precision, Gage R & R. Product quality control: Acceptance sampling methods-single, multiple and sequential sampling plans; Recent developments in inspection methods. SPC: Process evaluation and control by control charts: p, c, u, CUSUM and multivariate charts. Process capability studies: Various indices and approaches; Discussions on capabilities of Process, Machine and Gauge. Six Sigma Concepts, Steps and Tools. Quality Function Deployment, QFD example. Process evaluation and imp-Improvement by Design of Experiments: Various basic designs; Special methods such as EVOP and ROBUST design (Taguchi Methods). Case Study of Orthogonal Array application. Robust design by Taguchi Methods. Case Study of product design by Taguchi Philosophy. DMAIC-Define, measure, analyze, improve and control-the methodology of Six Sigma implementation. DMADV-Define, Measure, Analyze, Design and verify-the methodology for creating high performance designs. Justifying Six Sigma: a Manufacturing Case. Readiness for Six Sigma-assessing the Organization. Case Study of initiating Six Sigma DMAIC in Manufacturing. TQM vs. Six Sigma-The contrast. |
| May 13th, 2017 12:25 PM | |
| Unregistered | Re: tp iit lectures Hi I would like to hav the information about Six Sigma by Dr. T. P. Bagchi , Department of Management, IIT Kharagpur? |
| November 30th, 2015 09:59 AM | |
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