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MAINTAINABILITY DESIGN TECHNIQUES METRIC - AcqNotes.com

MAINTAINABILITY DESIGN TECHNIQUES METRIC - AcqNotes.com

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Downloaded from http://www.everyspec.<strong>com</strong> on 2011-10-29T14:56:01.DOD-HDBK-791(AM)instrument indication may be too late or too inaccurate tobe of value.5. Unnecessarily Difficult or Unpleasant Tasks.When design results in tasks that are unpleasant or <strong>com</strong>plex,personnel may not devote the proper amount oftime and attention to attaining satisfactory performance.For example, if two adjustments of equipment interrelateso that precise setting and resetting are required to attainthe proper value, personnel making the adjustments aremore likely to stop short of the proper value than if theadjustments were independent. Also tasks that may getthe technician excessively dirty or wet, such as crawlingunder a vehicle in a muddy field, will frequently be“overlooked”.6. Necessarily Dangerous Tasks. Motivationalcharacteristics, rather than performance capabilities, mayintercede when personnel perform dangerous tasks. Forexample, personnel exposed to high voltages during preventivemaintenance operations are less likely to performtasks thoroughly, and as frequently as they would if thedanger did not exist.7. Unpleasant Environments. Proper environmentalconditions must be maintained as much as possible sothat the capability of the body’s regulatory mechanisms tosustain a constant internal environment is not strained.Optimum environmental conditions make minimal demandson the body’s self-regulatory mechanisms. (Thisrelates to performance of unpleasant tasks discussed inItem 5.)To minimize the possibility of human error in ac<strong>com</strong>plishingany procedure involving a nuclear device, theArmy has developed the “two-person concept”. Two ormore persons, each capable of undertaking the prescribedtasks and of detecting incorrect or unauthorized proceduresare involved. One person performs the task whilethe other checks to make sure the task has been performedcorrectly.9-5.3.4 QuantificationThere is a need to understand and predict the contributionof human error to reliability and maintainabilityparameters such as mean time between failure and meantime to repair. Both of these are characteristics of thehardware, but both are also influenced by human performance.In fact, there are some analyses that indicate thatthe majority of system failures are attributable to humansand not to hardware.Much work has been done in human performance reliability(HPR). Yet a basic problem remains, i.e., lack of agood data base of human error and performance (Ref.20). The models available are fairly sophisticated, butconsidering the poor quality of the data input to themodels, the output should be used with caution. There areseveral HPR indices that differ both in scope and in typeof model used. Two types––the technique for humanerror rate (THERP) and the Siegel-Wolf model—will bediscussed.The analytical or simulation THERP can be used topredict the total system or subsystem failure rate resultingfrom human errors (Ref. 21). The THERP methodologybegins with a task analysis that breaks the system into aseries of personnel-equipment functional (PEF) units.The system being analyzed is then described by a functionalflow diagram. Prediction data are assigned to eachPEF. A <strong>com</strong>puter program calculates the reliability oftask ac<strong>com</strong>plishment and performance <strong>com</strong>pletion timeand takes into account dependent and redundant relationships.The Siegel-Wolf digital simulation model is orientedtoward the effects of time stress on the successful <strong>com</strong>pletionof the task. The model outputs are (Ref. 21)1. Average time expended2. Average peak stress3. Average final stress4. Probability of task success5. Average waiting time6. Sum of subtasks ignored7. Sum of subtasks failed.A good start on a data bank of human error rates hasbeen made by the American Institute of Research (AIR)(Ref. 22). The AIR estimates of error rates are for average,trained military personnel with average motivationwho are operating under normal conditions. However,very little work has been done to quantify the degradationof human performance under operational stress.A second source of data results from an analysis of themaintenance data in the Army maintenance managementsystem (TAMMS). Maintenance actions reported throughTAM MS are analyzed and supplemented with independentjudgments and arrive at quantitative values forhuman error data. Table 9-8 presents the results of a studythat used this method, Human error rate estimates for alarge system were derived from existing data of poorquality by modifying the data with the independentjudgments of human reliability analysts. These judgmentswere made after reviewing information on personnel skilllevels; previous jobs held by these personnel; procedures;and design of the control, displays, and other equipmentread or manipulated by the personnel.To date, the primary source of HPR information issubjective data based on expert opinion or objective datasupplemented as necessary with subjective judgments.Techniques for developing expert estimates include theDelphi technique (Ref. 21).9-6 PHYSICAL FACTORSPhysical factors are relevant in designing for maintainability;it is important that maintenance personnel bephysically capable of performing required tasks. If theycannot, maintenance efficiency suffers.Maintenance proficiency is directly affected by a widevariety of natural and induced environmental elementsthat degrade performance by interfering with a sensoryprocess or by creating physiological or psychologicalstress. Stress is a function of many factors—e.g., fatigue,lack of training, worry, fear—that is exacerbated by theirritants of noise, vibration, and inclement temperature.The stress level rises to a point at which the person’sability to perform in a satisfactory manner declines suddenlyand markedly. Logically, the more severe the stress,9-15

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