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Quality Yield Productivity (ML) Quality Yield Productivity (SL) Training Needs Analysis Staff Performance Evaluation Statistical Process Control Total Productive Maintenance Audit Management Document Control ISO Implementation Toolkit Attendance Monitoring Inventory Monitoring for Stock Inventory Monitoring for Finished Goods Utilities

Classical Robust Design Technology Development Multivariate

5S Housekeeping Seven Quality Control Tools Design of Experiments Failure Mode Effects Analysis Just In Time Mistake Proofing Measurement System Analysis Process Flow Chart Quality Function Deployment Statistical Process Control Hypothesis Production Part Approval Process Voice of Customer Process Work Instruction Standard Operating Procedure Process Capability Control Plan Methodology Dynamic Control Plan Service Quality Total Productive Maintenance Productivity Tracking Healthcare Six Sigma Training Needs Analysis Staff Performance Evaluation Market Research Visual Management Business

Basic Practitioner Classical Intermediate Advance Dynamic Characteristics Problem Solving

QFD (2 days) QFD (3 days)

Basic Practitioner Intermediate Advance Online Quality Control

Service Quality Customer Complaints Customer Satisfaction Survey Managing Customer Service Delivering Customer Service Internal Customer Satisfaction Customer Loyalty Calming Upset Customers Telephone Techniques Counter Service Assertive Behavior

7 QC Tools (1 day) 7 QC Tools (2 days)

Prototype Control Plan Pre-Launch Control Plan Production Control Plan

Root Cause Analysis Incident Reporting HFMEA Cycle Time Reduction Clinical Research

Six Sigma Champion Six Sigma Yellow Belt Six Sigma Green Belt Six Sigma Black Belt

Balanced Scorecard Net Promoter Score Benchmarking

Publication

Publication

Driver Program
	Six Sigma Case History, Motorola Next Generation of Six Sigma - Six Sigma for new Product Development Although a relatively new management technique, Six Sigma is "hot" these days. Virtually all large companies are rushing to incorporate it into their New Product Development (NPD) process. Authors Dan Tegel and Rick Kriva explain how Motorola, creator of Six Sigma, is using Six Sigma for Product Development (SSPD) and the benefits the company expects to derive. TQM An Overview On Implementing TQM in Developing Countries TQM is a customer-driven company-wide approach, to continually improve and upgrade processes, products, and services, using management tools and techniques. Many call it Total Quality Control (TQC) or Company-Wide Quality Control (CWQC). It has evolved from Quality Control and Quality Assurance.
Projects
	NQT Application of Seven New QC Tools The Seven New QC Tools differ from the conventional basic Seven QC Tools, which are used mainly for analyzing numerical data (data based on facts, not fancy). However facts cannot always be adequately expressed by numerical data alone. QFD After QFD : Now What? Quality Function Deployment (QFD), the well-known Japanese product development methodology, has been kicking around the western world for almost 15 years now. And like most alleged "managerial miracle cures" (panaceas!), it has now amassed large armies of both supporters and detractors. After some dramatic early victories, followed by some equally dramatic but perplexing failures, interest in QFD seemed to wane in the early 1990s. Application of QFD for Product And Process Improvement in Pakistani Organizations QFD is an effective methodology in product & process development in industries for both, customers and designers. This methodology helps to construct a system for assessing customers and or user preference. QFD is a group work approach designed to ensure that everyone works together to give customers what they want.... DOE An Engineer's Approach to Design of Experiments Design of Experiments per se has been a major contribution to science and technology since the time Fisher introduced the concept in the 1940s. Deming literally cursed variation as the cause of customer dissatisfaction and advocated the Deming Philosophy to reduce variation.... Reducing Negative Impact of Noise Factors on Product Design Performance Using DOE An essential aspect in the creation of products that are able to perform its intended function is the development of ‘robust product designs'. The latter refers to product designs which will result in products whose performances are less sensitive to factors which are hard or impossible to control during the manufacturing stage of the product development cycle or during the actual operation of the products by customers. Such factors are referred to as ‘noise factors' in this paper. Investigation of Effects of Controllable Variables on System Performance Using the DOE This paper presents the application of a statistical quality tool for determining the effects of two controllable variables on the performance of a stereo vision measurement system. The statistical quality tool used is the two-factor factorial design. The latter was chosen for the following reasons: only two controllable variables were involved; it is easy to use; and it provides objective answers regarding which variable(s) is significant, which variable(s) is not significant, and how the variables interact with each other. Only one of the variables of the above system was found to be significant.
Optimization
	Robust Design Robustization of Welding Procedures Quality improvement is a key objective in meeting reduced costs and increased productivity. In a welding procedure, it is most important that the setting of parameter levels (e.g. voltage, current, speed of welding, etc.) is selected very carefully. Deviation of the objective characteristics (signal) from the intended ideal causes a loss. This loss can be due to variations in the system parameters as well as environmental conditions (noise). If these variations are controlled by employing tight tolerances for system components, this will necessarily increase the cost of production and yet not be robust to environmental effects. Principles of Robust Manufacturing Although researchers (scientists, engineers, etc.) may have great skills in their areas of expertise, many however do not possess the skills for conducting systematic research. Often, researchers conduct experiments only on the Target-Performance Measure (e.g. mean) without a consideration of the Noise-Performance Measure (e.g. signal-to-noise ratio). Most experiments are also conducted without suitable cost analysis of the functional performance. Robust Design is a technological breakthrough that enables efficient experimental and simulation methods to optimize product and process design for manufacturability, quality and reliability. The role of Robust Design is to minimize the sensitivity of products and processes to uncontrollable noise factors (e.g. environmental, deterioration and manufacturing).

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