Abstract
The article studies the methods of evaluating the effectiveness of production is built on the basis of a flexible, reconfigurable systems capable of performing fast-changing market demands. Examines the history of formation of the concept of efficiency of organization of flexible production and its main parameters estimation. Based on the performance of the production system as a communication channel, describes the main performance characteristics of the configurable production systems. Described indicators are General and do not depend on the specific application of the system, which is especially important to determine the appropriate standard values. The time required for calculation of the indicators is determined on the basis of the known methods and the proposed approach, which provides a clear semantic definition of universality, flexibility, mobility and productivity, thus strictly linking the indicators together.
Highlights
Production performance in machine-building industry is influenced by a variety of different technical, economic, social and organizational factors.The problem of the production performance in machine-building sector comes out on all production stages: from design and development of specifications to warranty service
The assessment of reconfigurable production system performance has been at issue for a long time
Franz Pleshak proposes using the degree of flexibility compliance with its actual potential value as a criterion to assess the performance of flexible production systems (FPS) [1]
Summary
Production performance in machine-building industry is influenced by a variety of different technical, economic, social and organizational factors. V.N. Vasiliev believes that FPS performance should be determined by the degree of the process cycle reorganization, which results in replacing humans with more effective robots, ensuring integration of production, reduced duration of the production cycle, and increased productivity and quality [2]. Vasiliev believes that FPS performance should be determined by the degree of the process cycle reorganization, which results in replacing humans with more effective robots, ensuring integration of production, reduced duration of the production cycle, and increased productivity and quality [2] He suggests assessing the system flexibility by performance groups, such as versatility, adaptability, tolerance to deviations of blank parameters, and repeatability, i.e. the ability to return to the work performed before the system was reconfigured. A key approach to improve performance is to increase structural flexibility of the system, while assessment of flexibility, adaptability and mobility of the system is the main path to assess the FPS performance
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