'Noise factors' presentation slideshows

Quality Improvement: from Autos and Chips to Nano and Bio

582 views • 45 slides

Quality Improvement: from Autos and Chips to Nano and Bio

453 views • 45 slides

DESIGN FOR SIX SIGMA & ROBUST DESIGN OF PRODUCTS AND PROCESSES FOR QUALITY

1.17k views • 36 slides

A Study on Battery Working Time of Laptop Computers

A Study on Battery Working Time of Laptop Computers. Li Yangfan Liu Xiaomin Wang Chenchen Xu xu Zhang Sicheng 2009.06.08. Agenda. 1 Background. Background. We use laptops every day. When the school turns off the power, we have to use the battery as the electrical source.

444 views • 36 slides

MPD 575 DESIGN FOR QUALITY

MPD 575 DESIGN FOR QUALITY. Developed By: Sam Abihana Ion Furtuna Adithya Rajagopal. INTRODUCTION. Definition of Quality What is DFQ How DFQ fits into the Ford PD process DFQ Process Flow Example of DFQ Applied to the Seat System. DEFINITION OF QUALITY.

778 views • 36 slides

ERT427 Design of Experiment Sem I 2014/2015

ERT427 Design of Experiment Sem I 2014/2015. By: Pn. Siti Jamilah Hanim Mohd Yusof. Chapter 1: Introduction. Strategy of experimentation, typical applications of experimental designs, basic principles guidelines for designing experiment. Strategy of experimentation.

582 views • 33 slides

Stat 470-18

Stat 470-18. Today: Start Chapter 10. Additional Homework Question. Chapter 10: Robust Parameter Design. Robust parameter design is an experimentation technique which aims to reduce system variation and also optimize the mean system response

432 views • 26 slides

Split-plot designs Martin Arvidsson

Split-plot designs Martin Arvidsson. Bone Anchored Hearing Aids. Details of the improvement work. The objective of the project is to improve the production yield of transducers T ransducers are made up by a rather large number of components

308 views • 26 slides

Prof. Steven D.Eppinger MIT Sloan School of Management

269 views • 26 slides

DOE-based Automatic Process Control with Consideration of Model Uncertainties

DOE-based Automatic Process Control with Consideration of Model Uncertainties. Jan Shi and Jing Zhong The University of Michigan C. F. Jeff Wu Georgia Institute of Technology. Outline. Introduction DOE-based Automatic Process Control with Consideration of Model Uncertainty Process model

414 views • 25 slides

Non-Verbal Communication

Non-Verbal Communication. Instructor Development. Does yours look like this?. Objectives. The Communication Process Characteristics Verbal & Non-Verbal Delivery Barriers Listening. Sender Sends The Message. Receiver Acknowledges Receipt. The Communication Process. Channel. Messages.

419 views • 16 slides

Worst Case Analysis of Electronics Using Parameter Design Techniques

Worst Case Analysis of Electronics Using Parameter Design Techniques. by Mr. Andrew G. Bell & Mrs. Catherine M. Vincent ITT Industries A/CD Fort Wayne, Indiana. Worst Case Analysis of Electronics Using Parameter Design Techniques. Introduction

419 views • 16 slides

Worst Case Analysis of Electronics Using Parameter Design Techniques

Worst Case Analysis of Electronics Using Parameter Design Techniques. by Mr. Andrew G. Bell & Mrs. Catherine M. Vincent ITT Industries A/CD Fort Wayne, Indiana. Worst Case Analysis of Electronics Using Parameter Design Techniques. Introduction

163 views • 16 slides

Why/When is Taguchi Method Appropriate?

Why/When is Taguchi Method Appropriate?. Tip #6 Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors. Friday, 25 th May 2001. Tip #6. Taguchi Method Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors. In many applications,

150 views • 14 slides

Lecture 16

Lecture 16. Today: 10.6-10.9 Next day:. Two-Step Optimization Procedures. Nominal the best problem: Select the levels of the dispersion factors to minimize the dispersion The select the levels of the adjustment factors to move the process on target Larger (Smaller) the better problem:

191 views • 12 slides

Taguchi Methods

Taguchi Methods. Genichi Taguchi has been identified with the advent of what has come to be termed quality engineering. The goal of quality engineering is to move quality improvement efforts upstream from the production phase to the product/process design stage (off-line).

3.37k views • 8 slides