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	Thesis Writing
	Service Quality
	Lean / Six Sigma
	Total Quality Management
	Healthcare Management
	APQP / PPAP
	Workshops / Seminars

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

Seven Quality Control Tools New Quality Control Tools Project Selection Tools Advanced Quality Techniques Voice Of Customer Quality Function Deployment Failure Mode Effects Analysis Statistical Process Control Advanced Statistical Techniques Measurement Systems Analysis Hypothesis Testing Distributions Design of Experiments Control Plan Methodology Dynamic Control Plan Production Part Approval Process Service Quality Tools Healthcare Clinical Research Design Business Thesis Writting Reliability and Validity Classical Design Robust Design Multivariate Analysis Monte Carlo Simulation

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 Thesis Writting

Thesis Awareness Thesis Outline Thesis Mindset Thesis Proposal Thesis Writing

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

About iCT-M

Implementing ICT-M

Real-Life iCT-M Implementation
The real-life implementation requires application of many process improvement tools to identify, execute and close projects. In modern businesses, these tools are nearly always computer aided and while much excellent software exists, many are independent applications that must be managed in terms of data file storage and retrieval. In most software, files created by the software are saved as in some directory. This directory is often only available to that particular user. Although network directories may ease this file sharing somewhat, the data interchange is still lacking. When a project requires several application tools (e.g. Pareto Analysis, Histogram, etc.) tools undertaken by different team members are saved in their respective hard disks. For a manager, this means having to ask for project status from the team members. In fact, the manager has little say over the management of the data or knowledge. The inability of management to control this knowledge is a great loss to companies. In future undertakings, knowledge lost with the movement of employees has to be relearned - reinventing the wheel, while the competition marches on.
The new iCT-M software for productivity and quality improvement works rather differently. With iCT-M, files and data are managed collectively and without the user having to remember where those files and data are store. iCT-M allows practitioners to carry out projects in two distinct ways: checkerboard or storyboard. Project leaders can conduct several projects and open each project element as a dynamic applet. Consider a team working on Reducing Forming Defects. There are many tools and techniques which are required in this problem solving process. These activity tools organized as a checkerboard may look as follows.
Checkerboard Project Flow	Storyboard Project Flow

The reader may recognize many of these icons. Icons are related to an application so that clicking on a icon invokes that application. With either of the checkerboard or storyboard. structures, practitioners need not worry about file and data storage or retrieval. Additionally, the project flow of applications is unlike any other software. With iCT-M's structure, the natural progression is inherent and practitioners can see the logical development of a project from its early stages. With iCT-M new icons can be inserted and unwanted icons can be deleted. This dynamic system allows practitioners to modify their project plan as new information is received.
Once a board is created, the user can click on an applet to invoke that tool. For example, clicking on Pareto will open a dialog page as follows. This page has an insert/delete row function. The user enters as many rows as possible and the number of defects or other quantity. There is an option to consider the Pareto Analysis by the number of defects or by cost. Once the user clicks Close, The Pareto chart is drawn as follows.

After the Pareto Analysis is completed, the user can move to the next applet by clicking on another applet in the project flow, such as the Histogram, shown below. Once again, clicking on the Histogram icon invokes the Histogram application. An appropriate dialogue page appears and the user need only enter the data.
At first sight this series of activities may appear somewhat insignificant considering much software that can perform very detailed data analysis. However, consider for example, how a very ardent user may conduct a Design of Experiments, all be it, a simple 2^3 (or otherwise an L8 (2^(7-4) i.e. 1/16 fractional factorial of 2^7). Already the jargon may put most users into a state of limbo. This is precisely where iCT-M holds the rein. iCT-M provides 21 pages of simple step by step pages that takes the user through the experiment without demanding (almost) any statistical knowledge. Nowhere does iCT-M ask for the confounding relations, number of replication or repetitions. Even the best software in the field does not consider the quality loss function when in fact any basis of experimentation, or indeed and quantification of experimental success, must involve a bottom-line measure, almost invariably, COST! Not many software do this. Unlike iCT-M.	Conducting the Experiment Conducting an Analysis of Variance Displaying the process improvement
Because of the complexity of most applications, and the mathematic or statistic detail required to perform most productivity and quality improvement tools and techniques, most users are not excited about conducting say, Measurement System Evaluation (MSA). With iCT-M, anyone who understands the basics of what MSA is about can conduct a study of MSA. Indeed, with over 150 tools and techniques, including 7 QC Tools, New QC Tools, Advanced QC Tools, Voice of Customer, Quality Function Deployment, Failure Mode Effect Analysis, Statistical Process Control, Advanced Statistical Techniques, Measurement System Analysis, Hypothesis Testing, Design of Experiments, Control Plans, Dynamic Control Plans, Production Part Approval Process, etc. Clearly, iCT-M is the new standard of productivity and quality improvement tools and techniques.

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