Advanced Statistical Methods

PlanTech's Quality Professionals are 6-Sigma Black Belts with majors in statistics to help address any of your statistical needs!

PlanTech Statistical Method Services	Training Outline
Statistical Process Control: We offer basic and advanced training in SPC, as well as hands-on assistance in implementing an SPC program in your facility.
Measurement Systems Analysis: PlanTech consultants are working with OEMs and their suppliers training personnel on proper application of MSA and assisting in MSA implementation.
Design of Experiments: PlanTech has Quality Professionals that have worked with the "Fathers of DOEs" and we have the software to save you money.
Six Sigma: Let PlanTech's experts make your analysis needs simple! PlanTech will demonstrate the use of advanced statistics, such as regression analysis, Student's T-test for analysis of means, and F-test for analysis of variance to prove relationships between various sets of data in order to develop strategies to enhance success for the future.

Statistical Process Control (SPC)

Statistical Process Control (SPC) is an effective method of monitoring a process through the use of control charts. By collecting data from samples at various points within the process, variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste and as well as the likelihood that problems will be passed on to the customer.

With its emphasis on early detection and prevention of problems, SPC has a distinct advantage over traditional quality methods, such as physical inspection, that detect and correct problems in the end product or service.

In addition to reducing waste, SPC can lead to a reduction in the time required to produce the product or service from end to end. This is partially due to a diminished likelihood that the final product will have to be reworked, but it may also result from using SPC data to identify bottlenecks, wait times, and other sources of delays within the process. Process cycle time reductions coupled with improvements in yield have made SPC a valuable tool from both a cost reduction and a customer satisfaction standpoint.

Measurement Systems Analysis - Gage R & R

A Measurement System Analysis (MSA) is a specially designed experiment that seeks to identify the components of variation in the measurement. Obtaining measurements and data on a specific process may have variation and produce defects just as the process that produces the products.

A Measurement Systems Analysis:

• Evaluates the test method and the entire process of obtaining measurements to ensure the integrity of data used for analysis, and to understand the effects of measurement error in order to make decisions about the product or process.
• Analyzes the collection of equipment, operations, procedures, software and personnel that affects a measurement characteristic.
• Considers the following: selecting the correct measurement and approach, assessing the measuring device, assessing procedures & operators, assessing any measurement interactions, and calculating the measurement uncertainty of individual measurement devices and/or measurement systems.

Common tools and techniques of Measurement Systems Analysis include: calibration studies, components of variance, Attribute Gage Study, Gage R&R, and Destructive Testing Analysis.

Design of Experiments (DOE)

Design of Experiments (DOE) include the design of all information-gathering exercises where variation is present, whether under the full control of the experimenter or not. (The latter situation is usually called an observational study.) Often the experimenter is interested in the effect of some process or treatment on some objects, which may be people. Design of experiments is thus a discipline that has very broad application across all design, manufacturing, and natural social sciences.

Six Sigma

Six Sigma is a rigorous statistical methodology that focuses on consistently developing and delivering virtually perfect products and services. It is also a management strategy in which statistical tools are used to achieve greater profitability and breakthrough gains in quality. Six Sigma has been referred to as Total Quality Management (TQM) on steroids.