Robust Process Improvement® (RPI®) is a set of strategies, tools, methods, and training programs for improving business processes. It is a blended approach that incorporates lean, six sigma, and change management to increase the efficiency of business processes and the quality of our products and services.

robust Add to list Share. Use robust to describe a person or thing that is healthy and strong, or strongly built. This adjective also commonly describes food or drink: a robust wine has a rich, strong flavor.

Definition of Robust Process: A robust process is one that is operating at 6 sigma and is therefore resistant to defects. Robust processes exhibit very good short-term process capability (high short-term Z values) and a small Z shift value.

A nuisance or uncontrolled factor that adds variation to a process or product. Return to the Six Sigma Online Glossary.

A robust product is one that works as intended regardless of variation in a product’s manufacturing process, variation resulting from deterioration, and variation in use.

The robustness of the quality control method measures how effectively it influences design to achieve independence from manufacturing variations. If product design requires a manufacturing process to join two critical metal components with high accuracy, you can glue, weld or bolt the components together.

In order to meet customer expectations, companies often engage in robust product design which is the process of trying to reduce variations in finished products. In other words, it is the process of making sure that finished products maintain their consistency even when factors interfere with the production process.

In the same line robustness can be defined as “the ability of a system to resist change without adapting its initial stable configuration”. …

Robustness is generally calculated for a given decision alternative, xi, across a given set of future scenarios S = {s1, s2, …, sn} using a particular performance metric f(·).

Robustness : The degree to which a system continues to function in the presence of invalid inputs or stressful environmental conditions. Reliability : The ability of a system to perform its requested functions under stated conditions whenever required – having a long mean time between failures.

Robustness is the evaluation of an analytical method wherein the results obtained are found to be reliable even when performed in a slightly varied condition. It is the ability of a method to remain unaffected when slight variations are applied.

Along the similar lines it has been suggested that ruggedness should be used as a parameter evaluating constancy of the results when external factors such as analyst, laboratory, instrument, reagents and days are varied and robustness should be used as a parameter characterizing the stability of the method with respect …

The validation procedures consists of some characteristics parameters that makes the method acceptable with addition of statistical tools….Typical validation characteristics which should be considered are listed below:

1. Accuracy.
2. Precision.
3. Specificity.
4. Detection Limit.
5. Quantitation Limit.
6. Linearity.
7. Range.
8. Robustness.

Linearity is the method’s ability to obtain test results, which are directly proportional to the concentration of the analyte in the sample. The reason being that, if the analyte signal in samples is linear, then it is almost certain that it is also linear in calibration solutions, while the opposite might not be true.

The most common causes of high pressure are blocked tubing around the injector and column inlet. The most common causes of no/low pressure are the solvent inlet lines not being immersed in solvent, no solvent in the reservoir and leaks.

Linearity should be confirmed for the expected working range, including the chosen matrix. A linear range can be found from the linearity assessment experiments, however, the criteria for a linear range can be different. A linear range should cover 0–150% or 50–150% of the expected analyte concentration.

The signal-to-noise ratio (S/N) in a liquid chromatography (LC) separation usually is defined as shown in Figure 1. The noise is measured between two lines bracketing the baseline and the signal is measured from the middle of the baseline to the top of the peak. S/N is merely the signal divided by the noise.

Formulas for Calculating Signal to Noise Ratio FSD (or SQRT) Method. For decades now, HORIBA Scientific has defined the SNR as the difference of Peak signal minus Background signal, divided by the square root of the Background signal.

In HPLC we deal with the time-dependent process. Baseline noise is the short time variation of the baseline from a straight line caused by electric signal fluctuations, lamp instability, temperature fluctuations and other factors. …

Generally, a signal with an SNR value of 20 dB or more is recommended for data networks where as an SNR value of 25 dB or more is recommended for networks that use voice applications. Learn more about Signal-to-Noise Ratio.

To achieve a reliable connection, the signal level has to be significantly greater than the noise level. An SNR greater than 40 dB is considered excellent, whereas a SNR below 15 dB may result in a slow, unreliable connection.

Fixing SNR Issues

1. Remove Extra WiFi networks. This is especially true if this is a business environment.
2. Check for “Noisy” devices. Take a look at the devices around the WiFi router.
3. Turn off unneeded signals. Some routers support multiple bands in the 2.4 GHz and 5 GHz range.

+25dBm

Negative SNR means that Signal power is lower than the noise power. On the contrary, even if the signal power is very low, you would get good communication result if the noise power is much lower than the signal power.

So, if you are also facing such issues with your cellular connection, here are 5 tips and tricks you can use to boost the signal strength.

1. Remove any type of cover, case or hand blocking the antenna of the smartphone.
2. Remove obstructions between your smartphone and the cell tower.
3. Conserve your cellphone battery.

The Noise Floor is the signal created from adding up all the unwanted signals within a measurement system. It determines the lowest possible signal level that these systems can measure. For example, to measure a signal that is -140 dBm, the system must have a noise floor of less than -140 dBm.

In the design of a new system, any activity can be called robust design, if it causes the system… – To have longer life (higher reliability) – To be more consistent from use to use. – To be more consistent from product to product. – To perform consistently as temperature and other.

Robustness refers the state or condition where the technology, product, or process performance is minimally sensitive to factors that cause variability.