Critical performance factors

Particle size distribution analysis was considered, in one of the latest Pittsburgh Conferences, as one of the most outstanding trends in analytical science. This is not an overstatement, as most of the real samples of analytical interest occur either in dispersed form or in dispersed matrices. Just for argument s sake, in industrial applications the characterization of the size of sample particles is routine and is an essential part of the overall quality control procedures. In the medical field, for particles used to carrier drugs, the size is a critical performance factor (e.g., liposomes). In the food industry, the alcoholic yield from fermentation of starch, and even the taste of chocolate, depends on the size of particles of which these samples are composed. 

The bandwidth of the network relative to the computational power of the nodes is another critical performance factor. The greater the computational power of the nodes, the greater is the need to rapidly transfer data between them hence, greater computational power requires a higher bandwidth (that is, a smaller /3). Let us look at the relationship required between the computational power and the bandwidth for efficient utilization of a parallel computer. The computational power of a processor can be expressed as l/y, where y is the time needed to perform a floating point operation (see section 5.3). The efficiency with which an application can use a parallel computer (defined in section 5.2) can be expressed as a function of a, p, y, and the number of processors, p,... 

The critical performance factors for a process plant - the factors which determine its fitness for purpose and its effectiveness (and against which its designers performance is measured) - include the following. 

Quite often, the appearance of a plastic part is a critical performance factor. While this often involves color, it also involves texture and gloss. 

Thickener control philosophies are usually based on the idea that the Iindertlow density obtained is the most important performance criterion. The o ertlow clarity is also a consideration, but this is generally not as critical. Additional factors which must be considered are optimization of tlocciilant usage and protection of the raking mechanism. 

Include specific equipment identification, because omission can cause problems for readers in other process units or facilities who may have the same equipment and remain imaware of its hazards. Avoid downplaying human performance factors when drafting the report. There is a natural hesitancy to criticize or address normally encountered performance limitations or errors. Effects of fatigue from working excessive overtime are not always addressed in the written report. If these human performance factors are neglected, the error may be repeated. All facts of the incident must be considered relevant. 

As an employer who has to manage safety critical applications, do not use drug tests to test for impairment. It does not work. This strategy leads to the elimination of drug-free workers (in cases of false positives), and it also fails to catch workers who are impaired (false negatives). False negatives can lead to disasters. Use impairment tests such as that developed by Performance Factors Impairment tests are not intrusive, they are more cost effective and take less time to administer, and they test impairment rather than lifestyle. 

In principle, the technical problems can be solved if sufficient time and money is available. But the results will not always be as desired, and it will initially be necessary to accept many compromises in terms of scale, yields, reproducibility and cost of production. Given the technical feasibility, the impact of time, money and lower than expected performance tend to be neglected. In the end they may be critical success factors ... 

In order to more easily design and ultimately interpret the results of a validation study, it is important to define two factors that define the reliability of an alternative method before the study starts. These factors are reproducibility and predictive capability of the alternative method. It is of critical importance that these performance factors are clearly stated before a validation study starts. When these performance characteristics are defined beforehand, they provide critical information needed to design the study so that it includes the appropriate number of laboratories, an acceptable set of test substances, and the appropriate range of toxicity. They also provide benchmarks that can be used to set the criteria that an alternative method must meet in order to be considered reliable. If the data obtained from the study meet or exceed these predefined performance criteria, then it confirms that the alternative method performs as described by its developers. If the method fails to perform at a level equivalent to the criteria set at the start of the study, then its performance cannot be confirmed. 

Structure-based design is now actively pursued by sizeable groups in both academic institutions as well as in the research departments of pharmaceutical companies. Very tight collaboration with both synthetic chemists as well as with experimental biologists performing the biological assay has turned out to be a critical success factor. This often results in the dissemination of structural information to all scientists involved in the project and, ideally, the persistent use of that information in the process of inventing new active principles. 

Other criticisms19-20 of the VI are that it does not adequately predict or reflect oxidation stability and performance of engine oils or quality. These criticisms merely indicate that at one time expectations of the method far exceeded its real scope. The VI is indeed dependent on hydrocarbon composition (on which all behavior depends), but it should best be regarded as a measure of solely rheological properties, whatever other desirable properties these may subsequently coincide with. The term quality has to be considered carefully as well. Many performance factors do correlate with VI, but not necessarily so. 

Task 3. Develop Design Concepts Develop system layouts and conceptual designs for the 2 or 3 options selected in Task 2. Conduct a trade-off analysis for the critical design and performance factors. 

Modeller (TM), a method of task decomposition and prediction of task deviations. The TM also identifies critical Performance Shaping Factors (PSFs) that influence task performance and provides input to the Fuzzy Probabihty Estimator (FPE) for the quantification of human errors. 

ABSTRACT The industry s need for improvement is intensifying. To be able to measure the effect of improvement processes, the companies need to develop and implement Key Performance Indicators (KPIs). Implemented KPIs must reflect the critical success factors in the company. To utilize the power of KPIs, the KPIs must be communicated to the employees. The most effective way of communicating KPIs is by using electronic dashboards. Employees will be motivated if they are able to see how their contribution affects the KPIs. By employing KPIs at all levels in the company, the employees wfll strive to achieve the same strategic goals. 

These have been few studies on the Malaysian automotive industry, especially DC. This study intends to study the current situation in Proton and its vendors PD practice and performance and investigate how vendors DC will enable the success of Proton internalization strategy. At the same time, it will examine the appropriateness of the critical success factors (CSFs) highlighted by prior research on Malaysian DC development. This study focuses on PD activities in Proton because... 

Simultaneous analysis of six cardiovascular dmgs (alprenolol, propafenone, acebutolol, verapamil, atenolol, and metoprolol) via central composite design was performed coupling CE with dual, EC and ECL detection. Moreover, three critical electrophoretic factors employed in this method, namely Tris-H3P04 buffer concentration, buffer pH value, and separation voltage were investigated. The developed CE-EC/ECL system was validated in urine sample for rapid, sensitive, accurate, and reproducible analysis [73]. 

Increasing the load level is another way of accelerating the test. Here, again, it is important to do this cautiously and base it on the performance curves for the materials. The creep of the plastics is sensitive to the stress level and the range under consideration may be such that a relatively small increase in stress level will result in a large increase in creep level. In addition, since the part is also dynamically loaded, the increased stress level may lead to severe heat build up due to increased size of the hysteresis loop at increased stress levels and this could lead to catastrophic failure of the part. In any event, the data for the material should be carefully examined to see that the acceleration method used does not lead to erroneous results because any critical level factor is exceeded. 

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