PlantTwin simulation system as a tool for verifying production plans and supporting decision-making to improve the efficiency of machine-building industries

Ivashin³

et al. 2021

MATEC Web Conf.

Section: Approaches To Simulation Modeling Of Various Types Of Machine-building Enterprisesmentioning

confidence: 99%

Simulation Modeling Features of Various Machine-Building Enterprise Types

Ivashin³

et al. 2021

MATEC Web Conf.

Mathematical Modeling of Production Processes of Discrete Machine-Building Enterprises Based on the Interaction of Simulation Systems and Operational Planning Systems

Leonov³

et al. 2021

EPJ Web Conf.

Self Cite

Analysis of production systems (PS) of discrete multi-nomenclature machine-building enterprises is a complex task, its solution is necessary to support decision-making during technical re-equipment, modernization or technological preparation of production. The paper shows a concept of joint use of operational scheduling systems and simulation modeling systems to improve the efficiency and adequacy of PS analysis. The problem of determining the deviation of the planned state of the PS from the simulated state and evaluating the level of stability and stability of the PS behaviour on its basis is considered. It is revealed that the proposed approach allows us to more adequately determine the timing of the production program, assess the stability of the PS behaviour when using various planning logics and algorithms, and choose the best one for subsequent use in a real PS.

Models for Managing Production Systems of Machine-Building Enterprises Based on the Development and Using of Their Digital Twins

Umnov³

et al. 2021

EPJ Web Conf.

The paper discusses the goals and objectives of creating digital twins of the production system of a machine-building enterprise. The data structure of the information model of the production system of a machine-building enterprise, which is the basis for building a digital twin, is presented. The paper shows the main approaches to managing a production system based on the construction of its digital twin. It is revealed that along with traditional approaches to PS management by forming recommendations in terms of PS engineering and its operation, the choice of the most rational PS management algorithms that take into account the peculiarities of the production process organization and ensure the formation of production schedules that take into account PS reliability indicators has a great potential. It is proposed to use a specialized language of DPML to describe the information model of the PS through the “product-process-resource” paradigm, which ensures the coordination of the processes of forming recommendations in terms of engineering and operation of the PS, as well as the choice of the most rational algorithm for managing the PS.