Abstract

The role of the aircraft engine design process effectiveness evaluating as an integral part of monitoring, measuring, and analyzing this process in the overall enterprise quality management system is considered. The general approach to the effectiveness evaluation and analysis is analyzed. It is noted that in the effectiveness evaluation, both integral indicators and calculations made for all the constituent elements of the process indicators should be determined. In order to identify the root causes of obtaining unsatisfactory performance indicators, each criterion is examined in detail, analyzing the results of each individual unit participation in the design process. For the analysis of quantitative indicators of the design process effectiveness, it is proposed to apply processes modeling and analysis using directed (oriented) and non-directional graphs. To carry out a structural analysis of the results, it is proposed to represent the graph in the form of a vertex adjacency matrix. Examples of the design processes effectiveness evaluating are considered according to the indicator “Number of design documents developed in a monitoring time (month)” and according to the indicator “Fulfillment of thematic plans items put under control, the deadlines for which have been postponed”. In the first example, in a directed graph, the group of output vertices consists of the design subdivisions involved in the design, and the group of input vertices consists of the projects that are being designed. The edges of the graph are the quantities of documentation developed by each unit for each project. In the second example, the connection of the output vertices of the graph, which are the design units, with the input vertex is carried out through the edges, on which the number of thematic plan points is set, the deadlines for which were postponed. The process of data mathematical processing recorded in vertex adjacency matrices is described. The proposed methodology application allows the analysis of the enterprise production activity results for each individual indicator of the analyzed process.

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