Effective simulation model reuse: a case study for AMHS modeling

Mackulak, Gerald T.; Lawrence, F.P.; Colvin, T.

doi:10.1109/wsc.1998.745802

Cited by 40 publications

(27 citation statements)

References 6 publications

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“…Uma estratégia para redução do tempo de desenvolvimento dos modelos de simulação consiste no emprego de modelos genéricos e reutilizáveis (MACKULAK; LAWRENCE; COLVIN, 1998;OLOUFA;IKEDA;NGUYEN, 1998;NASEREDDIN;MULLENS;COPE, 2007).…”

Section: Reutilização De Modelosunclassified

Projeto de sistemas de produção na construção civil empregando simulação no apoio à tomada de decisão

Schramm

Formoso

2015

Ambient. constr.

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Resumoste trabalho propõe um modelo para projetar sistemas de produção de empreendimentos da construção, utilizando simulação de eventos discretos no apoio à tomada de decisões, tendo como ponto de partida um modelo anteriormente proposto. A Pesquisa Construtiva, caracterizada pela implementação de construções inovadoras para a solução de classes de problemas com relevância prática, foi a abordagem metodológica utilizada. O trabalho foi dividido em quatro fases: (a) revisão de literatura; (b) fase exploratória, em que ocorreu a seleção do software de simulação e um estudo exploratório; (c) fase de desenvolvimento, na qual foram realizados quatro estudos empíricos para o desenvolvimento e avaliação do modelo proposto; e (d) fase de análise e reflexão, na qual foi discutido o papel do Projeto do Sistema de Produção e os principais benefícios e dificuldades do emprego da simulação no apoio a esse processo. Uma estratégia de reutilização de modelos foi proposta como forma de reduzir o tempo de desenvolvimento dos modelos de simulação. O modelo proposto divide o PSP em duas fases interdependentes: a fase determinística e a fase dinâmica, na qual são desenvolvidos os modelos de simulação e testados cenários para apoiar a tomada de decisão. Palavras

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Section: Reutilização De Modelosunclassified

Projeto de sistemas de produção na construção civil empregando simulação no apoio à tomada de decisão

Schramm

Formoso

2015

Ambient. constr.

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“…More specifically, these models are used in the design of AMHS layout (for example, see [8], [45], [46], and [47]), the analysis of the hallway transportation system (for example, see [7], [44], [48], and [49]), determination of vehicle and storage capacities (for example, see [50] and [51]), analysis of transportation technology (for example, see [52]), evaluation of vehicle control algorithms (for example, see [53]- [55]), and the analysis of AMHS delivery paradigms (for example, see [56]- [58]), among others.…”

Section: H Amhs Modelsmentioning

confidence: 99%

“…The problem is that those empirical methods that allow the selection of the level of capacity detail do not give sufficient information to be able to choose the level of AMHS detail and vice versa. Refer to [4] and [5] for studies supporting the selection of the level of capacity detail and [6] and [7] for studies supporting the selection of the level of AMHS details. Because the production of a 300-mm wafer is now strongly dependent on automation, there is an increasing need for incorporating the AMHS into current model development methodologies.…”

Section: Introductionmentioning

confidence: 99%

Levels of Capacity and Material Handling System Modeling for Factory Integration Decision Making in Semiconductor Wafer Fabs

Jimenez

Mackulak

Fowler

2008

IEEE Trans. Semicond. Manufact.

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As the costs of building a new wafer fab increase, a detailed simulation model representing the production operations, the tools, the automated material handling systems (AMHS), and the tool-AMHS interactions is needed for accurately planning the capacity of these facilities. The problem is that it currently takes too long to build, experiment, and analyze a sufficiently detailed model of a fab. The key for building accurate and computationally efficient fab models is to decide on the right amount of model details, specifically those details representing the equipment capacity and the AMHS. This paper identifies a method for classifying a fab model by the level of capacity detail, the level of AMHS detail, or the level of capacity/AMHS detail. Within the capacity/ AMHS modeling level, our method further differentiates between detailed integrated capacity/AMHS models and abstract coupled capacity/AMHS models. The proposed classification method serves as the basis of a framework that helps users select the system components to be modeled within a desired level of detail. This research also provides a review of past-published literature summarizing the work done at each of the proposed fab modeling levels. A case study comparing the performance between an integrated capacity/AMHS model and a coupled capacity/AMHS model is presented. The study demonstrates that the coupled model generates cycle time estimates that are not statistically different than those generated by the integrated model. This paper also shows that the coupled model can improve CPU time by approximately 98% in relation to the integrated model.

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“…Although simulation provides a lot of benefits, the long lead time of analysis and the corresponding costs have been recognized as main difficulties. Pillai et al [15] and Mackulak et al [16] present new approaches to reduce the lead time by using standard and dynamic simulation models.…”

Section: A Academic Researchmentioning

confidence: 99%

The Integrated Room Layout for a Semiconductor Facility Plan

Chung¹,

Jang

2007

IEEE Trans. Semicond. Manufact.

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Layout study is important because layout largely determines the initial investment and production efficiency of a plant as compared with other downstream activities. Especially for semiconductor production, the continued miniaturization of chips requires increased investment and operating cost. While approximately one billion U.S. dollars was necessary for a new semiconductor fab in 1995, manufacturers today need to invest two to three times that for the same type of facility.This research presents a new integrated room layout for a semiconductor fab. Machine tools are laid out in four large rooms. The tools in each room are connected by one overhead hoist transporter/overhead shuttle loop. This layout increases direct interbay transportation, product mix change flexibility, and routing flexibility and reduces transportation time and initial investment cost. The performance of this new layout is compared with the integrated bay layout that is favorably considered and being used in the literature and industry. This comparison uses data provided by International SEMATECH.

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Effective simulation model reuse: a case study for AMHS modeling

Cited by 40 publications

References 6 publications

Projeto de sistemas de produção na construção civil empregando simulação no apoio à tomada de decisão

Projeto de sistemas de produção na construção civil empregando simulação no apoio à tomada de decisão

Levels of Capacity and Material Handling System Modeling for Factory Integration Decision Making in Semiconductor Wafer Fabs

The Integrated Room Layout for a Semiconductor Facility Plan

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