Morphological Description of the Top Level Autoservice Enterprises Functioning Model
DOI:
https://doi.org/10.31649/1997-9266-2020-148-1-84-89Keywords:
autoservice enterprises, coefficient of concordance, modelAbstract
The analysis of all possible parameters that can influence the quality of services and organization of productive process on the system of autoservice enterprises was conducted in this work. This analysis is carried out on the base of questionnaire realization of service centers workers, clients and experts of this industry. 400 questionnaires were worked out. As a result of their work the great number of parameters that can influence the quality of producible works were pulled out. It was certain by means of expert method of estimation, that the most ponderable parameters are nineteen. For the estimation of coordination measure experts opinions there was calculated coefficient of concordance, that laid down 0,83. It means that most experts consent with such combination of parameters. A next step was forming of autoservice enterprises network functioning model. Also, on the basis of certain substantial parameters for implementation of quality services morphological description of autoservice enterprises network functioning model was formed. There have been offered the variants that can describe each of parameters. Model parameters are divided into 3 groups: those related to the network of autoservice enterprises, those, related to the car, which is served, and those, related to the environment where an autoservice enterprise is located. The worked out morphological description of top level functioning model autoservice enterprises of network becomes basis for the calculation of weight coefficients each of the offered parameters and determination of optimal combination of parameters, that will provide the greatest level of quality executable services. On the basis of realizable analysis and information about current status of autoservice enterprises network in a select region it becomes possible to conduct self-reactance authentication of mathematical model of the system, compare the received values of parameters to standard and set the parameters of influence vector on the system for the receipt of higher results of its functioning.
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