Virtual commissioning for an Overhead Hoist Transporter in a semiconductor FAB

Lee, Joo Y.; Lee, Kwan‐Woo; Park, Sang-Chul

doi:10.1080/00207543.2019.1685712

Cited by 3 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By doing so, the control hardware, programmable logic controller (PLC), can be programmed just like in the actual factory [11]. Moreover, by developing and testing the control software before the real machine is built, the robustness of control software can be improved notably [12]. The commissioning on site, hence, becomes less stressful, less timeconsuming and error prone.…”

Section: Introductionmentioning

confidence: 99%

Towards narrowing the reality gap in electromechanical systems: error modeling in virtual commissioning

Kuhn

May²,

Liu

et al. 2022

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

Digital factories and smart manufacturing systems have been increasingly researched and multiple concepts were developed to cope with prevailing ever-shortening life-cycles. The ubiquitous digital twin, despite many definitions, is often praised for accurate virtual models. One key idea to improve manufacturing through such virtual models is virtual commissioning (VC), aiming at early machine code validation. VC and its virtual models are still lacking behind their real counterparts. This gap between reality and its virtual model, commonly termed reality gap, increases the complexity of creating cyber-physical systems. An especially stark contrast is visible between the idealized virtual model and a real machine encountering errors. While error simulations exist in other fields of research, a thorough investigation in VC is missing. Thus, this paper addresses the task of narrowing the reality gap in VC based on two steps. First, a comprehensive body of research of possible errors encountered in virtual commissioning is analyzed. Secondly, the feasibility of error implementation is discussed. This paper lays the foundation for narrowing the reality gap and enabling test automation and digital twin-based control.

show abstract

Section: Introductionmentioning

confidence: 99%