Customer evaluation testing

Customer Evaluation Testing. Customer evaluation testing allows the testing and receiving laboratories (the expected customers) to check whether a method performs adequately for its intended purpose. This evaluation should consider the specific country s compliance requirements with respect to the analytical methods. The customer evaluation permits direct customer feedback to the development lab prior to validation studies. 

The method development and optimization phase is completed with test method description drafted according to the method development results. The following method evaluation tests will continue with direct involvement of the customer (receiving laboratory). The goal is to check whether the developed late phase method performs adequately in different labs. 

Market testing Process by which targeted customers evaluate the marketing plan for a new product in a market setting. The purpose of market testing is to proof the proposed marketing plan and the final new product. 

Other important properties that can be measured in the laboratory include sealabiHty, printabiHty, or coating adhesion. Many of these tests have been developed by the film manufacturer in cooperation with customers and are specifically designed to measure product performance in the end use. Some tests, like sealabiHty, can be standardi2ed to time, pressure, and temperature of sealing with instmment-measured peel values, but other tests are subjective, such as evaluations of printing loss to puUoff by adhesive tape. 

An important part of the decision-making tool flow chart (see Fig. 1) is the redefinition of the specifications by the sensor customer after the surveying and testing of commercial sensor systems. This process almost always involves a downgrading of the expectations of the sensor customer, but it can also force a reaUstic evaluation of what sensor information really needs to be made available and at what cost. 

The main value of salt-spray tests is in the evaluation of the effectiveness of phosphate coatings in restricting the spread of rust from scratches or other points of damage in a paint film. This feature is of particular interest to the motorcar industry, as vehicles are often exposed to marine atmospheres and to moisture and salt when the latter is used to disperse ice and frost from road surfaces. Great care is needed in the interpretation of a salt-spray test, as it has been found to favour thin iron phosphate coatings more than is justified by experience with natural weathering. In the motorcar industry the present custom is to use zinc phosphate coatings on the car bodies and all other parts exposed to the outside atmosphere. 

If an analytical test results in a lower value x, < x0, then the customer may reject the product as to be defective. Due to the variation in the results of analyses and their evaluation by means of statistical tests, however, a product of good quality may be rejected or a defective product may be approved according to the facts shown in Table 4.2 (see Sect. 4.3.1). Therefore, manufacturer and customer have to agree upon statistical limits (critical values) which minimize false-negative decisions (errors of the first kind which characterize the manufacturer risk) and false-positive decisions (errors of the second kind which represent the customer risk) as well as test expenditure. In principle, analytical precision and statistical security can be increased almost to an unlimited extent but this would be reflected by high costs for both manufacturers and customers. 

The services are designed to enable the pharmaceutical and biotechnology customers to reduce overall development time and cost. Thus, research and development concentrates one of this company interests and they continuously accept new assignments for development from the private clients. However, they clearly states that the R D results and products will invariably be patented and the application will be rolled out internationally. Prior to commercialization, the developed products are evaluated and tested under controlled conditions with users and industry groups. 

Y data. The data set used for this example is from Miller and Miller ([1], p. 106) as shown in Table 58-1. This dataset is used so that the reader may compare the statistics calculated and displayed using the formulas and figures described in this reference with respect to those shown in this series of chapters. The correlation coefficient and other goodness of fit parameters can be properly evaluated using standard statistical tests. The Worksheets provided in this chapter series can be customized for specific applications providing the optimum information for particular method comparisons and validation studies. 

The following considerations, when applied during method development, are likely to produce more robust, reliable, and transferable methods (a) the concerns of the customer (user) are considered in advance, (b) key process input variables are identified, (c) criticaTto-quality factors are determined, (d) several method verification tests are installed, (e) proactive evaluation of method performance during development is performed, (f) continuous customer involvement and focus are institutionalized, and (g) method capability assessment (suitability to be applied for release testing against specification limits) is established. 

The NovaScan is presented on a PC-compatible computer equipped with standard memory and visual capabilities, and is run on a DOS-based operating system. A customized response apparatus, including a joystick, control keys, and a keypad, is recommended. Trials of the tasks chosen to be included in the test system are displayed on the computer monitor in a random manner, thereby eliminating the need for the user to focus attention among simultaneously presented tests. However, divided attention components can be added, if needed. The length of the test (i.e., number of trials presented) can be adjusted based on the demands of the test environment. Performance is evaluated in an automated fashion using a change-from-baseline approach, and the test can be administered in an automated or supervisor-controlled manner. 

After technical design has been translated into code,2 the following inspections should be considered to further evaluate the correctness of the code. A code review is an informal white box test where the code is presented in a meeting to project personnel, managers, users, customers, or other interested parties for comment or informal approval. Code reviews are a static test approach that can be applied to source code during the early stage of development. 

The SAT is an acceptance test comprising system installation, start-up, operational testing, and handover to customer, performed by the supplier/ integrator in the operational environment. As with the FAT, the user s representative should witness the tests and evaluate the results of the SAT. 

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