Details
| Translated title of the contribution | Optimierungsmodell für ein Vehicle Routing Problem mit zellularen Fahrerlosen Transportfahrzeugen |
|---|---|
| Original language | English |
| Journal | Logistics Journal |
| Volume | 2024 |
| Issue number | 20 |
| Publication status | Published - 30 Oct 2024 |
Abstract
A s the number of product variants continues to grow, the need for flexibility in intralogistics is becoming increasingly apparent. One potential solution to this challenge is the use of cellular automated guided vehicles, which can be variably interconnected depending on the size of the product to be transported. This article presents an optimization model for solving a vehicle routing problem for cellular automated guided vehicles. Furthermore, a recursive method is presented that determines an optimal transport sequence based on the solution of the model. The optimization model is implemented in a specially developed model environment and solved for a dynamic, illustrative use case. Subsequently, logistical target variables are evaluated in order to assess the solution of the optimization model. The exemplary application of the optimization model demonstrates the feasibility of modeling cellular transportation with automated guided vehicles and evaluating its performance based on logistical target variables.
Keywords
- Automated guided vehicles, cellular transport units, logistical target values, optimization model, simulation
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Engineering(all)
- Control and Systems Engineering
- Decision Sciences(all)
- Management Science and Operations Research
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In: Logistics Journal, Vol. 2024, No. 20, 30.10.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Optimization model for a vehicle routing problem with cellular automated guided vehicles
AU - Mente, Torben
AU - Küster, Benjamin
AU - Stonis, Malte
AU - Overmeyer, Ludger
AU - Nyhuis, Peter
N1 - Publisher Copyright: © 2024 Logistics Journal: Proceedings.
PY - 2024/10/30
Y1 - 2024/10/30
N2 - A s the number of product variants continues to grow, the need for flexibility in intralogistics is becoming increasingly apparent. One potential solution to this challenge is the use of cellular automated guided vehicles, which can be variably interconnected depending on the size of the product to be transported. This article presents an optimization model for solving a vehicle routing problem for cellular automated guided vehicles. Furthermore, a recursive method is presented that determines an optimal transport sequence based on the solution of the model. The optimization model is implemented in a specially developed model environment and solved for a dynamic, illustrative use case. Subsequently, logistical target variables are evaluated in order to assess the solution of the optimization model. The exemplary application of the optimization model demonstrates the feasibility of modeling cellular transportation with automated guided vehicles and evaluating its performance based on logistical target variables.
AB - A s the number of product variants continues to grow, the need for flexibility in intralogistics is becoming increasingly apparent. One potential solution to this challenge is the use of cellular automated guided vehicles, which can be variably interconnected depending on the size of the product to be transported. This article presents an optimization model for solving a vehicle routing problem for cellular automated guided vehicles. Furthermore, a recursive method is presented that determines an optimal transport sequence based on the solution of the model. The optimization model is implemented in a specially developed model environment and solved for a dynamic, illustrative use case. Subsequently, logistical target variables are evaluated in order to assess the solution of the optimization model. The exemplary application of the optimization model demonstrates the feasibility of modeling cellular transportation with automated guided vehicles and evaluating its performance based on logistical target variables.
KW - Automated guided vehicles
KW - cellular transport units
KW - logistical target values
KW - optimization model
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=85214471523&partnerID=8YFLogxK
U2 - 10.2195/lj_proc_mente_en_202410_01
DO - 10.2195/lj_proc_mente_en_202410_01
M3 - Article
AN - SCOPUS:85214471523
VL - 2024
JO - Logistics Journal
JF - Logistics Journal
SN - 1860-7977
IS - 20
ER -