Statistical Process Control (SPC)
SPC is a continual improvement technique to address product defects and quality control in manufacturing process. It has great potential to help companies increase profits by millions through wastage reduction and quality improvement, which many companies have failed to realize. The common misconception about SPC is that it is only applicable to certain industries and requires great investment. This course serves to clarify these misconceptions and provide solid foundation of the subject in a light and exciting manner. It also utilizes SPC software to simplify the teaching of theory and tedious mathematical calculations.

Six Sigma Green Belt
Six Sigma Green Belt is an emerging and proven philosophy, goal and methodology used to drive out waste and improve the quality, cost and performance of any business. The training will equip participants with sufficient Six Sigma knowledge and skills to kick off Six Sigma improvement projects either independently or as part of a team in the company's Black Belt projects.

Six Sigma Black Belt
Six Sigma Black belt training is recommended for section head, department head, and project coordinator. While Green belt training is meant for project executer, Black training is for managers or engineers who lead Six Sigma projects. Black belts will learn the Six Sigma tools more in depth, as they shall be leading the project as well as guiding the Green belts under them. Black belt role is to interpret the concerns of the top management and put it into series of small projects.

Design of Experiment (DOE)
Experimental design consists of purposeful changes of the inputs (factors) to a process (or activity) in order to observe changes in the outputs (responses). The process (or activity) is defined as some combination of machines, materials, methods, people, environment, and measurement which, when used together, perform a service, produce a product, or complete a task. Thus experimental design is a scientific approach, which allows the researcher to gain knowledge in order to better understand a process and to determine how the inputs affect the response(s). Through out the course different design matrix like Taguchi, Full Factorial, and Fractional Factorial will be explained.

Structured Problem Solving (SPS)
FMEA is used to identify and eliminate possible causes of failure at any stage of a business operation. The course offers the best approach to perform FMEA using the PM-CEDAC-FMEA approach. Process Mapping (PM) lets one understands the key components of a process and activity understudy. The Cause and Effect Diagram (CEDAC) is used to brainstorm all possible causes that could affect the performance of a process and its consequences. The purpose of FMEA is to evaluate the severity, frequency of occurrence, and ability to detect the failures of a concerned process. For one particular concern, brainstorming using CEDAC would result in a long list of action. RPN scoring in FMEA will prioritize the planned actions systematically.

Measurement System Analysis (MSA)
The course enables a process owner to ascertain their measurement accuracy to avoid costly wrong judgement caused by inaccurate measurements. The course covers several methods of MSA and understand the QS9000 requirements of MSA. Software is used to ease mathematical calculations.

Genba Kaizen
(Genba=Actual Place of Operation, Kaizen=Continuous Improvement) Literally means making incremental but continuous improvements at the workplace. By applying this simple, common sense concept of Genba Kaizen, companies will be able to achieve greater productivity, quality and profit with minimal cost, time and effort.