Options
2023
Conference Paper
Title
Modeling of a Matrix Production System for Simulation to Predict Material Demand
Abstract
Flexible production systems, such as matrix production systems, are increasingly being implemented in companies. The aim is to achieve greater resilience in a turbulent environment and to produce a wide variety of variants. A matrix production system offers individual order flows and short-term decision-making of the order flow.
In addition to the design of these systems, the associated systems, such as material supply, are of great importance and must be adapted to the new requirements.
Since the material demand in matrix production systems cannot be defined in advance but arises ad hoc during operation, it makes sense and is partly necessary to first create a simulation model for material demand prediction.
This paper methodically derives a model that represents a matrix production system in a simulation environment. Simulation helps to carry out experiments to investigate the system’s and orders’ behavior and from which the material demand is derived.
For this purpose, this paper uses a methodical approach for modeling, which defines and outlines the system boundary, any important elements to be represented, the properties and characteristics of the elements, and the connections between the elements.
To standardize the modeling process, UML is chosen as a modeling language.
As a result, a generic model to display a matrix production system in a simulation environment is deduced, which can carry out experiments to predict the material demand. Through the prediction, further supply planning can be conducted and matrix production systems can be efficiently and reliability run.
In addition to the design of these systems, the associated systems, such as material supply, are of great importance and must be adapted to the new requirements.
Since the material demand in matrix production systems cannot be defined in advance but arises ad hoc during operation, it makes sense and is partly necessary to first create a simulation model for material demand prediction.
This paper methodically derives a model that represents a matrix production system in a simulation environment. Simulation helps to carry out experiments to investigate the system’s and orders’ behavior and from which the material demand is derived.
For this purpose, this paper uses a methodical approach for modeling, which defines and outlines the system boundary, any important elements to be represented, the properties and characteristics of the elements, and the connections between the elements.
To standardize the modeling process, UML is chosen as a modeling language.
As a result, a generic model to display a matrix production system in a simulation environment is deduced, which can carry out experiments to predict the material demand. Through the prediction, further supply planning can be conducted and matrix production systems can be efficiently and reliability run.