A hybrid push/pull-dispatching rule for a photobay in a 300mm wafer fab

Lin, James T.; Wang, Fu‐Kwun; Chang, Ya-Ting

doi:10.1016/j.rcim.2005.02.003

Cited by 29 publications

(8 citation statements)

References 10 publications

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“…Numerous studies have sought suitable solutions to adapt to the complex characteristics of semiconductor manufacturing [6,19,23,25,28]. Chiang and Fu [6] proposed a dispatching rule for job scheduling in a wafer fab to improve production efficiency and satisfy customer requirement for on-time delivery.…”

Section: Demand Compositionmentioning

confidence: 99%

“…Hu et al [19] adopted real-time scheduling by modifying dispatching orders for workstations upstream of bottlenecks to adjust deviations in work-in-process (WIP) levels at bottlenecks. Lee and Lee [25] and Lin et al [28] adopted a push-and-pull control policy as a production control system in semiconductor manufacturing to improve system performance. Kim et al [23] performed batch scheduling in wafer fabrication to determine the number of jobs to be processed simultaneously at the workstation and sequenced of batches in front of the workstation.…”

Section: Demand Compositionmentioning

confidence: 99%

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Fundamental simulation studies of CONWIP in front-end wafer fabrication

Muhammad

Feng

Kamarrudin

et al. 2015

Journal of Industrial and Production Engineering

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Production planning and control in semiconductor manufacturing is complicated by high-level of re-entrant. Job batching is commonly used to reduce required setup time and maximize workstation utilization. New research promotes CONWIP in pull production systems, while limiting overall work-in-process. However, the implications of batching on CONWIP systems have not been well studied. This paper describes a series of simulation studies and adopted ANOVA and response surface methodology to investigate the effects and relationship of batching on different numbers of CONWIP cards, demand composition, re-entrant, and setup times. Simulation results show that all batching systems exhibited a high number of CONWIP cards and low job mix, total layers, and setup times when the lowest average flow time as well as the highest throughput level and workstation utilization are achieved. The overall result reveals that batching systems outperform non-batching systems in the simulation model of a CONWIP production control system in semiconductor manufacturing.

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Section: Demand Compositionmentioning

confidence: 99%

Section: Demand Compositionmentioning

confidence: 99%

Fundamental simulation studies of CONWIP in front-end wafer fabrication

Muhammad

Feng

Kamarrudin

et al. 2015

Journal of Industrial and Production Engineering

View full text Add to dashboard Cite

show abstract

“…Because some products may be processed in the same machine and there are profound randomness existing in the system, for example, the processing time, the waiting time for OHVs etc, the objective functions are not analytically available. This makes the MVFSP differs from the regular MVFSP where the manufacturing process is Figure 3 Layout of photobay (Lin et al, 2006).…”

Section: Numerical Experimentsmentioning

confidence: 99%

A simulation-based framework for multi-objective vehicle fleet sizing of automated material handling systems: an empirical study

Chang

Kuo

2014

Journal of Simulation

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Automated materials handling systems (AMHS) play a key role in semiconductor manufacturing. Vehicle fleet sizing is one of the critical issues when designing an effective AMHS. However, due to complexity of AMHS design and uncertainty involved in the production process, for example, random processing time, vehicle fleet sizing is a challenging problem, especially when there are multiple objectives, for example, minimized delivery time and maximized delivered lots are simultaneously desired. In this paper, we formulate the multi-objective vehicle fleet sizing problem and propose a framework that integrates simulation optimization and data envelopment analysis techniques to determine the optimal vehicle fleet size under multiple objectives for the AMHS. Numerical experiments show that the proposed framework allows for better performance of AMHS than the traditional methods. Moreover, an empirical study conducted at the end verifies the effectiveness and the viability of the proposed framework in real settings.

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“…Los pesos identifican la contribución relativa o importancia de los diferentes criterios en las respuestas objetivo. Lin, et al, (2006) utilizaron una combinación de reglas para evaluar el desempeño de una planta de fabricación de circuitos. Los resultados de la simulación sugirieron que la combinación de las reglas 'Distancia más corta', 'Producto más cerca' y 'Primero-en-entrar-primero-en-salir' logró los mejores resultados.…”

Section: Introductionunclassified

“…Los resultados de la simulación sugirieron que la combinación de las reglas 'Distancia más corta', 'Producto más cerca' y 'Primero-en-entrar-primero-en-salir' logró los mejores resultados. Lin et al, (2006) citan a Hodgson y Wang, quienes estudiaron estrategias de control para un sistema híbrido Push/Pull, y sus resultados mostraron que la política híbrida logró reducir el inventario total y aumentó la fiabilidad de las entregas. En Castrillón, et.…”

Section: Introductionunclassified

Programación de Sistemas de Producción Híbridos, Para inventario/Bajo pedido, mediante un Proceso Analítico Jerárquico de Ordenación Grupal (GAHPO)

2012

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ResumenEste artículo reporta la aplicación de una nueva metodología para la programación de producción en una planta industrial de la ciudad de Manizales (Colombia), en la cual se combinan los ambientes fabricación para inventario (MTS) y fabricación bajo pedido (MTO). Esto implica responder a objetivos diferentes, y en ocasiones opuestos, a partir de recursos limitados, con el consecuente impacto en el nivel de servicio. La metodología desarrollada, aplica el proceso analítico jerárquico de ordenación grupal (GAHPO), para construir una regla de secuenciación que combina tres criterios de priorización, que al ser comparada con tres reglas simples, mediante un modelo de simulación, presenta un desempeño superior en la mayoría de los indicadores seleccionados. El estudio permite concluir que es posible para empresas que operan bajo entornos de producción híbridos, lograr equilibrio entre la respuesta al mercado y la utilización de los recursos disponibles. Palabras clave: programación de la producción, MTS, MTO, GAHPO Scheduling Hybrid Production Systems, Make to Stock/ Make to Order, using Group Analytic Hierarchy Process Ordering (GAHPO) AbstractThis article presents a case study of a new production scheduling methodology applied on a manufacturing facility located on Manizales, Colombia, which combines Make to Stock (MTS) and Make to Order (MTO) environments. This implies to respond, using limited resources, to different, and sometimes opposite objectives, with negative impact on the service level. The proposed methodology uses group analytic hierarchy process ordering (GAHPO) to develop a dispatching rule combining three priority criteria, that when it is compared with other three simple rules, through a discrete event simulation model, presents better performance in most of the selected measures of interest. The study allows concluding that for companies which operate under hybrid environments it is possible to reach equilibrium between market satisfaction and the utilization of available resources.

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A hybrid push/pull-dispatching rule for a photobay in a 300mm wafer fab

Cited by 29 publications

References 10 publications

Fundamental simulation studies of CONWIP in front-end wafer fabrication

Fundamental simulation studies of CONWIP in front-end wafer fabrication

A simulation-based framework for multi-objective vehicle fleet sizing of automated material handling systems: an empirical study

Programación de Sistemas de Producción Híbridos, Para inventario/Bajo pedido, mediante un Proceso Analítico Jerárquico de Ordenación Grupal (GAHPO)

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