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Total Quality Management Control Charts for Six Sigma
Quality Manager software makes total quality management control charts useful for analysing sales, marketing and production processes.
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Large processes can be broken down into components, which enable identification of the details that are causing the process to fail or succeed. This is a key concept for improving according to total quality management and process management. The concept of improvement, or change for the better, is important to quality, and it has been effectively summarized in the now popular Japanese term Kaizen, which means continuous improvement involving everyone in the organization. MM4XL Quality Manager tool is a comprehensive collection of tool for quality management and control charts. Statistical quality control can help companies increase their ability to compete effectively by improving the quality of the output they offer in the market. In fact, in a world crowded with products of every kind, we need to pay attention to improving what is already available as opposed to developing new things. Improvement in line with customer needs and wishes requires a profound understanding of the competing environment and of the competitive ability of companies. The ability to compete can be thought of as a chain of processes that take an input, add value to it, and produce an output. The total quality management control charts produced with Quality Manager help to monitor processes and improve your company output. |
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Who: Profile manager for strategic decision-makers
The Quality Manager tool is used by business decision-makers often supported by business analysts. Among our business decision-maker clients there are:- General Managers and CEOs
- Business Directors
- Quality Managers
- Marketing Managers
- Sales Managers
- Business Analysts
- Marketing Analysts
- Advertising Managers
- Pricing Managers
- Product Portfolio Managers
Quality Manager tool features:
![]() | SPC attribute charts |
![]() | C chart |
![]() | U chart |
![]() | P chart with fixed lot size |
![]() | P chart with variable lot size |
![]() | NP chart |
![]() | SPC variable charts |
![]() | X-bar chart |
![]() | Range chart |
![]() | X-bar chart |
![]() | Sigma chart |
![]() | Process capability analysis |
![]() | Acceptance sampling |
![]() | Operating characteristics curve (OCC) |
![]() | Hypergeometric operating characteristics curve (HOCC) |
![]() | Average outgoing quality (AOQ) |
![]() | Allows batch data handling |
![]() | Results preview including simulation data for all charts |
![]() | Quick online help |
![]() | The example sheets describe how to run the tool |
![]() | The tool works in 5 different languages: E, F, G, I, S |
![]() | Help file with advanced description of the Quality Manager concepts |
Other MM4XL software tools related to the Quality Manager tool:
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