Methodology for assessing the quality of the production planning process at an aircraft manufacturing enterprise

The article presents a methodology for assessing the quality of the production planning process used in the project management team motivation system in place at an aircraft manufacturing enterprise when executing and controlling the execution of the production plan and summarizing the results. It is proposed to assess the quality of the production planning process on the basis of the planning quality coefficient, including two criteria: the criterion of completeness of planning of the projects in progress and the criterion of plan fulfillment for the reporting month. Dependencies for calculating the planning quality coefficient and its constituent criteria are presented. And for calculation of the components of the criterion of completeness of planning of the projects in progress it is proposed to use the system of fuzzy inference. Two input linguistic variables are introduced: “Delay of preparation and coordination of the project schedule plan” and “Delay of issuing the order for opening the order to perform work on the project”, as well as two output linguistic variables: “Timeliness of preparation and approval of the project schedule” and “Timeliness of issuance of the order to open the order to perform the project work”. For all linguistic variables there are defined definition areas (universes), basic term-multiplicities and their constituent fuzzy variables, as well as corresponding fuzzy sets with accessory functions describing possible values that these fuzzy variables can take. The interpretation of the Mamdani algorithm for the considered case of using the fuzzy inference system is presented. A practical example of the work of the developed fuzzy inference system implemented in Matlab R2016b environment using Fuzzy Logic Toolbox 2.2.24. The result of the implementation of the developed methodology for assessing the quality of the production planning process in the production practice of JSC “NCV Mil and Kamov” was the growth of the number of projects completed within the previously planned timeframe from 45% in 2018 to 75% in 2023. This ultimately led to an increase in Russian Helicopters’ output of high-quality scientific and technical documentation and, accordingly, the output of products within the scheduled timeframe.