SMT2020—A Semiconductor Manufacturing Testbed

Kopp, Denny; Hassoun, Michael; Kalir, Adar A.; Mönch, Lars

doi:10.1109/tsm.2020.3001933

Cited by 33 publications

(8 citation statements)

References 25 publications

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“…At the exposure step, photolithography systems create detailed patterns on the silicon wafers. These systems cost more than e100 million, and they constitute the bottleneck in the entire front-end fabrication process (Kopp et al 2020). As a result, the downtime of these systems costs chip manufacturers up to e72,000 per hour (ASML B.V. 2014).…”

Section: Contextmentioning

confidence: 99%

Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML

Lamghari-Idrissi

Hugten

Houtum

et al. 2022

INFORMS Journal on Applied Analytics

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At the beginning of 2017, ASML embarked on a journey to evaluate and reform its after-sales service supply concept driven by the increased focus of its customers on infrequent but disruptive long downtime events. The company made changes to its service measures and to the planning approach. The new concept resulted in a worldwide decrease of 20% in the number of extreme long downtime events at ASML’s customers, generating an estimated yearly benefit of $1.5 billion for the semiconductor industry.

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Section: Contextmentioning

confidence: 99%

Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML

Lamghari-Idrissi

Hugten

Houtum

et al. 2022

INFORMS Journal on Applied Analytics

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“…We currently aim to apply the successful (Machine-based) decomposition strategies, overlapping and compression, to semiconductor manufacturing systems. In order to accomplish this, we are currently working on a dataset generated from a simulator called SMT2020 [10]. The advantage of this dataset is that it links between the academic and industrial perspectives.…”

Section: Expected Achievementmentioning

confidence: 99%

“…The advantage of this dataset is that it links between the academic and industrial perspectives. Since the SMT2020 data set is quite big, it is not possible to provide a schedule with a simulator that simulates the system for 2 years, as has been presented in [10] using ASP. We aim to develop a scheduler model that could provide a schedule in the manufacturing system for a short period, like one week.…”

Section: Expected Achievementmentioning

confidence: 99%

Decomposition Strategies for Solving Scheduling Problems in Industrial Applications

El-Kholany

2022

Electron. Proc. Theor. Comput. Sci.

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This article presents an overview of a research study of a crucial optimization problem in the Computer Science/Operations research field: The Job-shop Scheduling Problem (JSP). The JSP is a challenging task in which a set of operations must be processed using a set of scarce machines to optimize a particular objective. The main purpose of the JSP is to determine the execution order of the processes assigned to each machine to optimize an objective. Our main interest in this study is to investigate developing decomposition strategies using logic programming to solve the JSP. We split our goal into two main phases. The first phase is to apply the decomposition approach and evaluate the proposed model by solving a set of known benchmark instances. The second phase is to apply the successful decomposition methods obtained from the first phase to solve a scheduling problem in the real-life application. In the current state, we finished the first phase and started the second one aiming to have a model that can provide a schedule of a factory for a short-time period.

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“…Previous work done by Fowler describes a model for semiconductor manufacturing consisting of four levels of simulation including individual tools, the manufacturing site, internal supply chain, and the end-to-end supply chain (Fowler, Mönch, and Ponsignon 2015). An overview of reference models for semiconductor manufacturing sites is provided by Kopp et al (2020) who compare the scale of different models, including the Intel Minifab, MIMAC, Harris, and SEMATECH 300 models.…”

Section: Related Workmentioning

confidence: 99%

Simulating Energy and Security Interactions in Semiconductor Manufacturing: Insights from the Intel Minifab Model

Weaver

William

Hasenbein

et al. 2022

2022 Winter Simulation Conference (WSC)

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Semiconductor manufacturing, particularly wafer fabrication, is a highly complex system of processes and workflows. Fabrication facilities must deal with re-entrant flows to support multiple types of wafers being produced simultaneously, each with their own deadlines and specifications. The manufacturing process itself depends upon the ability to control and programmatically adjust a variety of environmental conditions. In addition, wafer fabrication consumes large amounts of energy, particularly electricity.

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SMT2020—A Semiconductor Manufacturing Testbed

Cited by 33 publications

References 25 publications

Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML

Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML

Decomposition Strategies for Solving Scheduling Problems in Industrial Applications

Simulating Energy and Security Interactions in Semiconductor Manufacturing: Insights from the Intel Minifab Model

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