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Validation risk analysis

Validation of the predietions for proeess eapability through the use of the eomponent manufaeturing variability risks analysis, q, is given later. [Pg.50]

Validation of the Component Manufacturing Variability Risks Analysis... [Pg.56]

When using failure rate data for a CPQRA, the ideal situation is to have valid historical data from the identical equipment in the same application. In most cases, plant-specific data are unavailable or may carry a level of confidence that is too low to allow those data to be used without corroborating data. Risk analysts often overcome these problems by using generic failure rate data as surrogates for or supplements to plant-specific data. Because of the uncertainties inherent in risk analysis methodology, generic failure rate data are frequently adequate to identify the major risk contributors in a process or plant. [Pg.15]

Pharmaceutical sites will usually create a dedicated team of validation specialists to coordinate all validation activities. They should operate according to a validation master plan that has been developed using risk analysis to identify the most critical systems requiring validation/re-validation. Before validating a system or process, a written protocol should be prepared that describes the system, the critical aspects, the objectives, the test methods and the acceptance criteria that will be applied. A validation report should be prepared on completion of each protocol. [Pg.224]

Planning of product realisation - Plan and develop process for product manufacture based on risk analysis, and determine verification, validation, monitoring test and inspection requirements... [Pg.232]

In practical applications, dispersion calculations need to be performed in topographically complex environment. Thus, solid obstacles intervening in the area dispersion should be counting in the computations. In previous validation works, it has been proved that CFD codes constitute powerful tools for complex terrain dispersion simulation providing high accuracy results with excellent visualization capabilities, which can be helpful in quantitative risk analysis applications [55]. The dominating mixing mechanism between... [Pg.556]

During the method development, key method parameters are determined and used for subsequent validation steps to ensure that the validation data are generated under conditions equivalent to the final procedure (risk analysis).Aims of the method development are summarized in the list that follows. [Pg.227]

Failure rate data generated from collecting information on equipment failure experience at a facility are referred to as facility-specific or field failure rate data. Facility-specific data contain failure rates specific to equipment (e.g., a certain valve or pump in use at a facility by manufacturer, make, model, and serial number) and are cataloged accordingly. The collection of facility-specific data from internal operations for use in a risk analysis is desirable because such data reflect the practices, environmental factors, and other reliability influences specific to the equipment under study. The ideal situation is to have valid historical data from identical equipment, in the identical application, functioning under the identical operating and maintenance conditions. Where these are not available, but data on similar equipment are, then they may be used with appropriate judgment. [Pg.109]

In any risk assessment, the analysts will need to make some assumptions. These are important as the validity of the risk analysis is dependent on the validity of the assumptions. The assumptions can be in the development of a rule set, use... [Pg.110]

Multitier validation plan The FDA has produced a long hst of systems subject to vahdation requirements, but it is possible and appropriate to limit the amount of investment and effort necessary to compliantly validate each of those systems. Companies are permitted and encouraged to develop a multitier validation plan, using the risk analysis procedures developed for the regulation of medical devices. Under this procedure a regulated laboratory or facility should... [Pg.191]

It is clear that the fundamental tenets of safety, quality, and efficacy should remain but considerable scope exists to produce a more easily understood core of requirements among which the subject of risk analysis should also be included. International harmonization cannot be mandatory either for government or for industry. Nevertheless, a commitment can and should be entered into both by individual governments and by pharmaceutical associations to accept specific guidelines that have drawn up and agreed. Such a commitment would preempt the demands to provide additional data requirements unless the scientific validity of such requirements were proven (53). [Pg.439]

Many technical systems in a pharmaceutical production have to be validated or qualified. The requirement for a system to be validated depends on its impact on product quality. Whether a system is critical or not may be determined through a risk analysis. (See Design Qualification.) Following is a list of such different systems or clusters of systems. [Pg.486]

The overall concept of all of the following tools is that of risk analysis or risk assessment. Risk analysis helps to decide whether an aspect is GMP-critical or not. The risk analysis can be performed in a formal or more informal way. Following are two popular and import types of risk analysis. Another method, the fault tree analysis (FTA), has recently been used in the area of computer validation. This method is not described here, as it is a complex form of risk analysis. [Pg.488]

The results of any risk analysis should be well documented as they become the key input into the qualification and validation process. They are the basis for defining tests in the IQ, OQ, and PQ phases. It is often impossible to say prior to a risk analysis what steps of qualification need to be performed. It depends on the risks and measurements defined during the risk analysis. Equally important, this procedure increases the efficiency of the qualification process. In the past, the decision on which qualification tests to perform was outlined by writing qualification protocols. These usually prompted long and expensive discus-... [Pg.490]

Preparation of standard procedures Document review Validation glossary Critical parameter assessment GMP criticality and risk analysis Process validation methodology Computerized system validation Preparation of validation plans Preparation of project and quality plans Manufacturing data specification... [Pg.575]

Written procedures shall define how the system will be used and controlled, and periodic review of these procedures and the validation documentation status must be carried out. The periodic review procedure should define responsibilities and should include predetermined criteria for reporting that computer system validation is being satisfactorily maintained in alignment with the project validation plan. A GMP risk assessment should form part of each periodic review to reconfirm (or not) the findings of the previous risk analysis and provide information for any revalidation that is considered necessary. [Pg.629]

Kieffer, R. Validation, risk-benefit analysis. PDA J Pharm Sci Tech 49(5) 249-252 (1995). [Pg.822]

Why does all of this matter for PA While PA can be very beneficial in process development, and even in creating efficiencies in the initially validated versions of the manufacturing processes, the value of PA is often in the identification, and subsequently elimination of inefficiencies in commercial manufacturing (see Section 2.2.6). This consequently amounts to change with the above-mentioned challenges in resource and risk analysis. [Pg.34]

A Risk Analysis should be filled out for all systems to aid in the determination of "validatable" systems and also to highlight the critical points for validation testing. [Pg.72]

Perform and document a traceability analysis between the requirements specification deliverable and system specification deliverable Specify Part 11 technical controls Prepare and approve system specification deliverable Revisit the risk analysis and the criticality and complexity assessments based on the system specification deliverable Review validation plan based on the system specification deliverable Approved validation plan... [Pg.41]

It is important to mention that information about EIA of recycled wastes on surface and ground waters is too large, diverse, and multi-disciplined, and its knowledge base is expanding too rapidly to be covered in a single book. Nevertheless, the authors tried to present the most important and valid key principles that underlie the science and engineering aspects of risk analysis, characterization, and assessment. [Pg.237]

The depth and scope of validation planning should be conunensurate with the significance of the functionality, impact, and criticality of the computerized system. This should be established by means of a formal risk analysis at an early stage of the validation process. Key critical compliance points to be considered may include ... [Pg.624]

In order for emerging methods to be acceptable for use in a regulatory context work is needed to validate them, and to develop QA/QC procedures for their use. There is also a need for dissemination of information on their performance and potential uses within the WFD. This is especially important since the type of information obtained with some tools is different from that provided by current practice. In some cases it may be appropriate to use a battery of tools in water quality management. In this case there is a need for a system to integrate the available information to provide a comprehendible set of data that can provide support for those responsible for risk analysis, and decision making in this area. [Pg.300]

Validation carried out during the development stage on the basis of a risk analysis of the production process, which is broken down into individual steps these are then evaluated on the basis of past experience to determine whether they may lead to critical situations. [Pg.110]


See other pages where Validation risk analysis is mentioned: [Pg.342]    [Pg.49]    [Pg.44]    [Pg.342]    [Pg.49]    [Pg.44]    [Pg.38]    [Pg.77]    [Pg.184]    [Pg.226]    [Pg.388]    [Pg.108]    [Pg.179]    [Pg.181]    [Pg.393]    [Pg.4]    [Pg.166]    [Pg.215]    [Pg.359]    [Pg.112]    [Pg.482]    [Pg.320]    [Pg.34]    [Pg.780]    [Pg.128]    [Pg.2326]   
See also in sourсe #XX -- [ Pg.375 ]




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