Mathematical and Simulation-Based Analysis of Multiple-Load Mobile Transport Systems in Semiconductor Manufacturing

In the semiconductor manufacturing processes, single-load mobile transport systems, which can handle only one load at a time, have traditionally been employed. However, with the increasing demand for transport efficiency, the adoption of multiple-load mobile transport systems has been expanding. This study aims to systematically analyze the multiple-load mobile transport system by implementing an algorithm that determines optimal decisions dynamically at each job request, enabling the identification of policy-independent characteristics of the system. Through mathematical analysis in static problem instances, this study identifies key factors influencing the operational efficiency of multiple-load mobile transport systems. Furthermore, it evaluated whether these factors exhibit consistent tendencies in dynamic environments by utilizing the implemented algorithm and a simulation environment replicating semiconductor manufacturing processes.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/asmc64512.2025.11010675
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Mathematical and Simulation-Based Analysis of Multiple-Load Mobile Transport Systems in Semiconductor Manufacturing

Young Jae Jang, Sungwook Jang
Advanced Manufacturing and Logistics Optimization
article

Mathematical and Simulation-Based Analysis of Multiple-Load Mobile Transport Systems in Semiconductor Manufacturing

Young Jae Jang, Sungwook Jang
article en

Abstract

In the semiconductor manufacturing processes, single-load mobile transport systems, which can handle only one load at a time, have traditionally been employed. However, with the increasing demand for transport efficiency, the adoption of multiple-load mobile transport systems has been expanding. This study aims to systematically analyze the multiple-load mobile transport system by implementing an algorithm that determines optimal decisions dynamically at each job request, enabling the identification of policy-independent characteristics of the system. Through mathematical analysis in static problem instances, this study identifies key factors influencing the operational efficiency of multiple-load mobile transport systems. Furthermore, it evaluated whether these factors exhibit consistent tendencies in dynamic environments by utilizing the implemented algorithm and a simulation environment replicating semiconductor manufacturing processes.

Korea Advanced Institute of Science and Technology (KR)
Ministry of SMEs and Startups
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Advanced Manufacturing and Logistics Optimization
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