Affiliation:
1. Financial University under the Government of the Russian Federation (Vladimir branch)
Abstract
The term “production capacity” has always been one of the most important in the theory and practice of production management of an engineering enterprise. In the current conditions the issues of determining and classifying production capacity of manufacturing enterprises are of particular significance. Possessing reliable data on production capacity of a manufacturing enterprise one can determine the production output and the equipment workload level, and run the available production facilities effectively. The reliability of the information essential for decision-making depends on the methodology of determining and classifying production capacity of manufacturing enterprises. The purpose of the study is to reveal the contents of the system of specific indicators of the term “production capacity”. To achieve the goal the author of the article studies the problems of evaluation of production capacity of separate manufacturing structural units and the entire company. The subject of the study is the principles and methods of classification of the indicators of production capacity of a manufacturing enterprise. The article presents the author’s approach to defining the essence and classifying the production capacity indicators. To achieve the goal the authors applied the analysis and synthesis methods. Application of the deduction principle allowed creating a system of production capacity indicators. The study has been based on the review of relevant scientific and periodical economic publications. The contents and the volume of the “production capacity” concept have been established. The proposed system of individual indicators of production capacity allows increasing the accuracy of calculation of production capacity, identify time reserves for various operations, efficiently plan the equipment exploitation and improve operational and calendar planning at the manufacturing enterprise.
Publisher
National University of Science and Technology MISiS