Details
| Original language | English |
|---|---|
| Pages (from-to) | 282-288 |
| Number of pages | 7 |
| Journal | Tehnicki Glasnik |
| Volume | 18 |
| Issue number | 2 |
| Publication status | Published - 31 May 2024 |
Abstract
Development in industrial companies aims to digitize processes, ensure traceability and advance automation. Systems with automated guided vehicles (AGVs) can help meet these objectives. A core element of these systems is the higher-level system controller. When an AGV system is operated, some dynamic aspects appear. It is then to identify, that the previous specified rules for scheduling and routing of vehicles are not always proper and practical, which may result in waiting time of AGVs. That means the static performance requirements and the specifications based on them often lead to suboptimal results. A methodical problem-solving approach is to develop a digital twin as a reflection of reality and to carry out strategy analyses using simulation. For this purpose, a digital twin of the concerned AGV system with five vehicles and its technological environment is created using software of plant simulation. Various simulation scenarios are developed to simulate material flows by using different routing and scheduling rules and strategies. Drawing from the insights gained through the digital twin and simulation analyses, this study identifies novel scheduling and routing rules for the AGV system. These rules improve the overall efficiency and effectiveness of the system operations by easing traffic congestion, reducing transit time, and minimizing production downtime.
Keywords
- Automated Guided Vehicle (AGV), digital twin, material flow optimization, routing and scheduling, simulation analysis
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Computer Science(all)
- Information Systems
- Engineering(all)
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Tehnicki Glasnik, Vol. 18, No. 2, 31.05.2024, p. 282-288.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Digital Twin and Simulation Analyses for Process Optimization of an Automated Guided Vehicle System
AU - Schulze, Lothar
AU - Li, Li
N1 - Publisher Copyright: © 2024 University North. All rights reserved.
PY - 2024/5/31
Y1 - 2024/5/31
N2 - Development in industrial companies aims to digitize processes, ensure traceability and advance automation. Systems with automated guided vehicles (AGVs) can help meet these objectives. A core element of these systems is the higher-level system controller. When an AGV system is operated, some dynamic aspects appear. It is then to identify, that the previous specified rules for scheduling and routing of vehicles are not always proper and practical, which may result in waiting time of AGVs. That means the static performance requirements and the specifications based on them often lead to suboptimal results. A methodical problem-solving approach is to develop a digital twin as a reflection of reality and to carry out strategy analyses using simulation. For this purpose, a digital twin of the concerned AGV system with five vehicles and its technological environment is created using software of plant simulation. Various simulation scenarios are developed to simulate material flows by using different routing and scheduling rules and strategies. Drawing from the insights gained through the digital twin and simulation analyses, this study identifies novel scheduling and routing rules for the AGV system. These rules improve the overall efficiency and effectiveness of the system operations by easing traffic congestion, reducing transit time, and minimizing production downtime.
AB - Development in industrial companies aims to digitize processes, ensure traceability and advance automation. Systems with automated guided vehicles (AGVs) can help meet these objectives. A core element of these systems is the higher-level system controller. When an AGV system is operated, some dynamic aspects appear. It is then to identify, that the previous specified rules for scheduling and routing of vehicles are not always proper and practical, which may result in waiting time of AGVs. That means the static performance requirements and the specifications based on them often lead to suboptimal results. A methodical problem-solving approach is to develop a digital twin as a reflection of reality and to carry out strategy analyses using simulation. For this purpose, a digital twin of the concerned AGV system with five vehicles and its technological environment is created using software of plant simulation. Various simulation scenarios are developed to simulate material flows by using different routing and scheduling rules and strategies. Drawing from the insights gained through the digital twin and simulation analyses, this study identifies novel scheduling and routing rules for the AGV system. These rules improve the overall efficiency and effectiveness of the system operations by easing traffic congestion, reducing transit time, and minimizing production downtime.
KW - Automated Guided Vehicle (AGV)
KW - digital twin
KW - material flow optimization
KW - routing and scheduling
KW - simulation analysis
UR - http://www.scopus.com/inward/record.url?scp=85193930838&partnerID=8YFLogxK
U2 - 10.31803/tg-20240420135237
DO - 10.31803/tg-20240420135237
M3 - Article
AN - SCOPUS:85193930838
VL - 18
SP - 282
EP - 288
JO - Tehnicki Glasnik
JF - Tehnicki Glasnik
SN - 1846-6168
IS - 2
ER -