Multivariate Estimation of the Production Time for Steel-Wire Batches by Means of Situational–Normative Models. Part 2

Abstract

The accurate calculation and regulation of the duration of the production cycles are required to plan efficiently and predict the production time. The production time forms a basis for development of operational plans and graphs. Depending on the setting of start dates for intermediate products at one operating stage or another or dates for production, the motion of the products through certain production departments would be impossible without cycle time. Multivariate estimation of the standard production time for a steel-wire batch is to determine optimal length of industrial operations required to make the batch. To resolve this problem, it is essential to construct models of the production processes performed in each department of the steel-wire production system. The composition, duration, and operating conditions for the industrial, natural, labor, monitoring, and transport operations are specified. The types of the equipment employed and its quantity in each department are indicated. The unit types of material flux such as bale, skein, and coil are listed here. The nature and type of motion of the intermediate products (products) in each operation are revealed. Depending on the methods of transportation from one operation to the next (by the piece, by the packet, or by the batch), the number of input packets and batches are given. The types of line (continuous, semicontinuous, or discrete) are properly accounted. All the above mentioned is represented by the multi-loop algorithm, and its validation is carried out by the modeling method using natural data of the operating enterprise.