Modern Technology for a Scientific Selection of the Most Promising Samples of Technology out of a Number of Analogs

Abstract

The authors propose a technology for a quantitative valuation of technology specimens on the example of a middle military-transport plane. The technology employsa min-max optimization criterion of valuation. The scientific selection of the best specimen for its designated purpose was proved in practice. An estimate can be correct, only if a sample is large enough. There is a discrepancy between a theory and an experiment. A multiple-criterion scientific choice is the only possible way. An adoption of the right solution or sound decision without a scientific foundation is impossible, because it can lead to unfortunate results. A vivid example is the decision of the high military command of the air force on closing of all works on An-70 plane. This mistake resulted in huge waste of time, money and control over the air industry. Algorithm of the suggested technology leads to perfection. This algorithm alongside with the use of the multiple-criterion method allows us to prove scientifically that An-70 plane is the best among the middle planes of the military-transport aviation. For the first time the algorithm of multiple-criterion valuation introduced into practice the maximum and minimum ways for optimization of the criterions. The maximal optimization is ensured by one group of criterions, and the minimal optimization is ensured by another group of criterions. Applied to the planes of the military-transport aviation this method allows us to select the best plane-model with account of its take-off weight and cost in relation to the maximum-mass of a payload. The suggested algorithm of the quantitative valuation and selection of the most rational of the specimen can be used conformably to any kind of equipment.