scholarly journals Development of a simulation model of personnel logistics of a production cluster

2021 ◽  
Vol 12 (5-2021) ◽  
pp. 117-127
Author(s):  
Svetlana N. Malygina ◽  
◽  
Elena O. Neupokoeva ◽  
Keyword(s):  
Simulation Model ◽  
Software Tool ◽  
Software Implementation ◽  
System Dynamic ◽  
Agent Based ◽  
Labor Resources

The article discusses the development of a simulation model of a production cluster by means of the Anylogic University 8.7 software tool system using agent-based and system-dynamic approaches. The authors focus on isualization tools and software implementation of algorithms for the movement of labor resources within the cluster enterprises, taking into account various restrictions.

scholarly journals Digital plant: methods of discrete-event modeling and optimization of production characteristics

2021 ◽  
Vol 15 (2) ◽  
pp. 7-20
Author(s):  
Valery Makarov ◽  
Albert Bakhtizin ◽  
Gayane Beklaryan ◽  
Andranik Akopov
Keyword(s):  
Simulation Model ◽  
Hybrid Methods ◽  
Discrete Event ◽  
Agent Based ◽  
Event Simulation ◽  
Event Modeling ◽  
Technical Control ◽  
Assembly Unit ◽  
Labor Resources ◽  
Production Characteristics

This article presents a new approach to the development of a ‘digital twin’ of a manufacturing enterprise, using a television manufacturing plant as the case study. The feature of the proposed approach is the use of hybrid methods of agent-based modeling and discrete-event simulation in order to implement a simulation model of a complex production process for assembling final products from supplied components. The most important requirement for such a system is the integration of all key chains of a digital plant: conveyor lines, warehouses with components and final products (TVs), sorting and conveyor system, assembly unit, technical control department, packing unit, etc. The proposed simulation model is implemented in the AnyLogic system, which supports the possibility of using agent-based and discrete-event modeling methods within one model. The system also supports using the built-in genetic algorithm to optimize the main parameters of the model: the most important production characteristics (for example, assembly time of a product, the number of employees involved in assembly, quality control and packaging processes). Optimization experiments were completed with the help of the developed model at various intensities of loading conveyor lines with components, various restrictions on labor resources, etc. Three scenarios of the production system behavior are investigated: the absence of the components deficit with the possibility of significantly increasing the labor resource involved, a components deficit while demand for final products is maintained, and the presence of hard restrictions on the number of employees who can be involved in the processes under conditions of components deficit.

scholarly journals An Event-Driven Agent-Based Simulation Model for Industrial Processes

2020 ◽  
Vol 10 (12) ◽  
pp. 4343 ◽  
Author(s):  
Vincenzo Iannino ◽  
Claudio Mocci ◽  
Marco Vannocci ◽  
Valentina Colla ◽  
Andrea Caputo ◽  
...  
Keyword(s):  
Simulation Model ◽  
Industrial Process ◽  
Software Tool ◽  
Operating Conditions ◽  
Multi Agent Systems ◽  
Agent Based Simulation ◽  
Process Industries ◽  
Agent Based ◽  
Intelligent Software ◽  
Event Driven

Process manufacturing industries are complex and dynamic systems composed of several processes, subject to many operations and unexpected events that can compromise overall system performance. Therefore, the use of technologies and methods that can transform traditional process industries into smart factories is necessary. In this paper, a smart industrial process based on intelligent software agents is presented with the aim of providing a technological solution to the specific needs of the process industry. An event-driven agent-based simulation model composed of eight reactive agents was designed to simulate and control the operations of a generic industrial process. The agents were modeled using the actor approach and the communication mechanism was based on the publish–subscribe paradigm. The overall system was tested in different scenarios, such as faults, changing operating conditions and off-spec productions. The proposed agent-based simulation model proved to be very efficient in promptly reacting to different dynamic scenarios and in suitably handling different situations. Furthermore, the usability and the practicality of the proposed software tool facilitate its deployment and customization to different production chains, and provide a practical example of the use of multi-agent systems and artificial intelligence in the context of industry 4.0.

scholarly journals Comparing Three Simulation Model Using Taxonomy: System Dynamic Simulation, Discrete Event Simulation and Agent Based Simulation

2013 ◽  
Vol 1 (3) ◽  
pp. 54-59
Author(s):  
Suliza Sumari ◽  
Roliana Ibrahim ◽  
Nor Hawaniah Zakaria ◽  
Amy Hamijah Ab Hamid
Keyword(s):  
Simulation Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Method ◽  
System Dynamic ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Event Simulation ◽  
System Dynamic Simulation

Simulation model is one of the methods commonly used in Operational Research in order to represent the real situation that occurs in a system as well as to test the scenario based on different behavior.  In this paper we discuss about three different models used in simulation: system dynamic, agent based simulation and discrete event simulation.  The aim of this paper is to compare all these three methods in context of features, advantages, disadvantages and tools being used in each simulation method.  The comparison of this paper also includes the classification of simulation model using taxonomy.  Throughout this paper, we view a few software tools usually being used in a simulation like Vensim, ProModel and AnyLogic.

scholarly journals The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics

2020 ◽  
Vol 12 (23) ◽  
pp. 9818
Author(s):  
Gabriel Fedorko ◽  
Vieroslav Molnár ◽  
Nikoleta Mikušová
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Optimization Problem ◽  
Software Tool ◽  
Time Saving ◽  
General Validity ◽  
Resistance Function ◽  
Genetic Algorithm Method ◽  
Working Day ◽  
Enterprise Logistics

This paper examines the use of computer simulation methods to streamline the process of picking materials within warehouse logistics. The article describes the use of a genetic algorithm to optimize the storage of materials in shelving positions, in accordance with the method of High-Runner Strategy. The goal is to minimize the time needed for picking. The presented procedure enables the creation of a software tool in the form of an optimization model that can be used for the needs of the optimization of warehouse logistics processes within various types of production processes. There is a defined optimization problem in the form of a resistance function, which is of general validity. The optimization is represented using the example of 400 types of material items in 34 categories, stored in six rack rows. Using a simulation model, a comparison of a normal and an optimized state is realized, while a time saving of 48 min 36 s is achieved. The mentioned saving was achieved within one working day. However, the application of an approach based on the use of optimization using a genetic algorithm is not limited by the number of material items or the number of categories and shelves. The acquired knowledge demonstrates the application possibilities of the genetic algorithm method, even for the lowest levels of enterprise logistics, where the application of this approach is not yet a matter of course but, rather, a rarity.

scholarly journals An agent-based simulation model of human-robot team performance in military environments

2012 ◽  
Vol 16 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Ronald E. Giachetti ◽  
Veronica Marcelli ◽  
José Cifuentes ◽  
José A. Rojas
Keyword(s):  
Simulation Model ◽  
Team Performance ◽  
Agent Based Simulation ◽  
Agent Based

Simulation Model of Crowd Evacuation Navigation in a Multi-Obstacle Environment

2020 ◽  
pp. 036119812097126
Author(s):  
Zhongrui Ni ◽  
Zhen Liu ◽  
Tingting Liu ◽  
Yanjie Chai ◽  
Cuijuan Liu
Keyword(s):  
Simulation Model ◽  
Simulation Experiment ◽  
Control Algorithms ◽  
Prototype System ◽  
Evacuation Simulation ◽  
Agent Based ◽  
Crowd Management ◽  
Navigation Simulation ◽  
Local Navigation ◽  
Crowd Evacuation

The simulation of a crowd evacuating public buildings can be an important reference in planning the layout of buildings and formulating evacuation strategies. This paper proposes an agent-based crowd model; a crowd evacuation navigation simulation model is proposed for the multi-obstacle environment. We introduce the concept of navigation factor to describe the proximity of the navigation point to the exit. An algorithm for creating navigation points in multi-obstacle environment is proposed along with the global navigation and local navigation control algorithms of the crowd. We construct a crowd evacuation simulation prototype system with different simulation scenes using the scene editor. We conduct the crowd evacuation simulation experiment in the multi-obstacle scene, recording and analyzing the relevant experimental data. The simulation prototype system can be used to derive the evacuation time of the crowd and analyze the evacuation behavior of the crowd. It is expected to provide a visual deduction method for crowd management in an evacuation emergency.

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