Open AccessDIAGNOSIS OF THE RESULT OF A SEWING ENTERPRISE PRODUCTION ACTIVITY
Author(s) -
TETIANA ZAVHORODNIA,
OKSANA PROSKUROVYCH,
KATERYNA GORBATIUK,
AUTHOR_ID
Publication year - 2021
Publication title -
modeling the development of the economic systems
Language(s) - English
Resource type - Journals
eISSN - 2786-5363
pISSN - 2786-5355
DOI - 10.31891/mdes/2021-1-6
Subject(s) - production (economics) , factory (object oriented programming) , econometric model , value (mathematics) , volume (thermodynamics) , resource (disambiguation) , econometrics , product (mathematics) , process (computing) , computer science , operations research , industrial organization , operations management , industrial engineering , business , economics , statistics , mathematics , microeconomics , engineering , computer network , physics , geometry , quantum mechanics , programming language , operating system
In the scientific article, the process of diagnosing the production activity result of a sewing enterprise is investigated. An assessment of the state of production and marketing activities of a sewing enterprise based on the dynamics of the volume of marketable and sold products. The factor analysis of the efficiency of resources using (number of human resources, cost of materials and fixed assets) on an enterprise of sewing branch is carried out. Econometric modeling and forecasting of the production activity results, concerning the change of the basic components of resource potential of a sewing enterprise, are applied. Several econometric and one trend models, which describe the change of the volume of marketable products on a sewing factory, have been built. In addition to linear dependences, the power and multiplicative production function of changing the production activity result is formed. All constructed models have a high value of the coefficient of determination, which indicates a significant share of the influence of selected factors on the performance indicator. At the same time, they are adequate, so they can be used for forecasting the volume of marketable products. The results of modeling and further forecasting proved that the best models are the three-factor model, power model, two-factor model built on the impact of staff and cost of material resources, and one-factor relationship between product volume and cost of materials. These models have a sufficiently high value of the coefficient of determination, the lowest value of the standard error, and the adequacy of these models according to Fisher's criterion and the reliability of their parameters according to Student's criterion.