Evaluating Automated Guided Vehicle System Characteristics in Semiconductor Fab Automated Material Handling Systems

Reith, Karl-Benedikt; Boden, Patrick; Däumler, Martin; Rank, Sebastian; Schmidt, Thorsten; Hupfer, Ralf

doi:10.1109/asmc.2019.8791758

Cited by 5 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [270], authors applied both static and dynamic methods involving discrete event simulation to determine the appropriate number of AGVs needed for transportation tasks in the photolithography section of a semiconductor manufacturing facility. For semiconductor manufacturing facilities, advantages and disadvantages of different layout topologies through which AGV can be deployed are discussed in [271]. Due to the special nature of semiconductor manufacturing facilities, different types of AGV topologies for integrating AGVs including: segregated, unified and supported topologies are discussed in [271].…”

Section: G Applications and Use Casesmentioning

confidence: 99%

“…For semiconductor manufacturing facilities, advantages and disadvantages of different layout topologies through which AGV can be deployed are discussed in [271]. Due to the special nature of semiconductor manufacturing facilities, different types of AGV topologies for integrating AGVs including: segregated, unified and supported topologies are discussed in [271]. In segregated topologies, the entire factory floor area is divided into zones, and workflow of each zone are serviced by one or more AGVs.…”

Section: G Applications and Use Casesmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

et al. 2020

View full text Add to dashboard Cite

In industrial environments, over several decades, Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) have served to improve efficiencies of intralogistics and material handling tasks. However, for system integrators, the choice and effective deployment of improved, suitable and reliable communication and control technologies for these unmanned vehicles remains a very challenging task. Specifics of communication for AGVs and AMRs imposes stringent performance requirements on latency and reliability of communication links which many existing wireless technologies struggle to satisfy. In this paper, a review of latest AGVs and AMRs research results in the past decade is presented. The review encompasses results from different past and present research domains of AGVs. In addition, performance requirements of communication networks in terms of their latencies and reliabilities when they are deployed for AGVs and AMRs coordination, control and fleet management in smart manufacturing environments are discussed. Integration challenges and limitations of present state-of-the-art AGV and AMR technologies when those technologies are used for facilitating AGV-based smart manufacturing and factory of the future applications are also thoroughly discussed. The paper also present a thorough discussion of areas in need of further research regarding the application of 5G networks for AGVs and AMRs fleet management in smart manufacturing environments. In addition, novel integration ideas by which tactile Internet, 5G network slicing and virtual reality applications can be used to facilitate AGV and AMR based factory of the future (FoF) and smart manufacturing applications were motivated.INDEX TERMS Intelligent factory, factory of the future, 5G, smart manufacturing, industry 4.0, autonomous industrial equipment, AGV, AMR, tactile Internet, virtual reality, lean manufacturing.

show abstract

Section: G Applications and Use Casesmentioning

confidence: 99%

Section: G Applications and Use Casesmentioning

confidence: 99%