A hybrid fuzzy and neural approach for forecasting the book-to-bill ratio in the semiconductor manufacturing industry

Chen, Tin-Chih; Wang, Yi‐Chi

doi:10.1007/s00170-010-2712-5

Cited by 16 publications

(8 citation statements)

References 30 publications

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“…(2) For precision in productivity forecasting, the narrowest scope containing the actual value is required; however, this has rarely been discussed. (3) The upper bound and average value are forecasted separately, which is problematic because it is possible that the forecast becomes invalid in the sense that the average value may be higher than the upper bound [19].…”

Section: Methodsmentioning

confidence: 99%

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A Fuzzy Collaborative Forecasting Approach for Forecasting the Productivity of a Factory

Wang

Chen

2013

Advances in Mechanical Engineering

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Productivity is always considered as one of the most basic and important factors to the competitiveness of a factory. For this reason, all factories have sought to enhance productivity. To achieve this goal, we first need to estimate the productivity. However, there is considerable degree of uncertainty in productivity. For this reason, a fuzzy collaborative forecasting approach is proposed in this study to forecast the productivity of a factory. First, a learning model is established to estimate the future productivity. Subsequently, the learning model is converted into three equivalent nonlinear programming problems to be solved from various viewpoints. The fuzzy productivity forecasts by different experts may not be equal and should therefore be aggregated. To this end, the fuzzy intersection and back propagation network approach is applied. The practical example of a dynamic random access memory (DRAM) factory is used to evaluate the effectiveness of the proposed methodology.

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Section: Methodsmentioning

confidence: 99%

“…The parameters can be obtained by solving the following nonlinear programming model [19], which is a modification from Tanaka and Watada's linear programming model [16].…”

Section: Productivity Forecasting Using Fuzzy Linear Regressionmentioning

confidence: 99%

A Fuzzy Collaborative Forecasting Approach for Forecasting the Productivity of a Factory

Wang

Chen

2013

Advances in Mechanical Engineering

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“…There are only a handful of academic papers about the book-to-bill ratio, and none investigate firm-specific disclosure across industries. Chen andWang (2011) andFargher et al (1998) focus on the forecasting of the BTB ratio within the semiconductor industry. Chandra et al (1999) use trade association disclosures to explore whether the disclosure of industry-wide BTB information increases the volatility of daily returns and causes analysts to revise forecasts.…”

Section: Book-to-bill and Non-financial Disclosuresmentioning

confidence: 99%

Disclosure specificity: Evidence from book‐to‐bill ratios

Chapman,

Kaplan,

Potter

2024

Business Fin & Account

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We investigate whether managers vary disclosure specificity strategically, by examining how the voluntary disclosure of a key performance indicator, the book‐to‐bill (BTB) ratio (the ratio of orders received to orders billed), varies with future firm performance. Consistent with theoretical predictions from prior research, we find that managers are more likely to provide precise BTB disclosures when the news is positive, while offering less precise disclosures when the news is negative. We find that managers strategically vary specificity more when valuation incentives are higher and monitoring is lower. We find that the tone of qualitative descriptions is informative, with or without precise disclosure, inconsistent with the predictions of strategic withholding models. Our results are consistent with persuasion models in which managers vary the specificity of news strategically, to affect the weight stakeholders place on the signal.

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“…The side n + layer is fabricated by selective epitaxial growth (SEG). 30,31) SEG is a key process in the fabrication of the three-dimensional hybrid MOSFET. Figure 10…”

Section: Process Ideasmentioning

confidence: 99%

Proposal of tunneling- and diffusion-current hybrid MOSFET: A device simulation study

Furukawa

Teramoto

Kuroda

et al. 2016

Jpn. J. Appl. Phys.

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Transistors with low-power operation and sufficient signal processing speed have been widely required especially for mobile applications. To meet these requirements, we propose a novel tunneling- and diffusion-current hybrid MOSFETs which utilize both a small S-factor of tunneling-current and a high current drivability of diffusion-current. On the basis of the device concept and the working principle that we propose, device structures and parameters of the hybrid MOSFET were examined in detail with device simulation. We investigated the optimum structure of the tunneling and diffusion parts, and the effects of various structural parameters. In particular, we found that the threshold voltage adjustment of each current and the suppression of leakage current were the most important to maximize the characteristics of the hybrid MOSFET. From the result of structural parameter optimization, a minimum S-factor of 20 mV/decade and a high current drivability of 500 µA/µm were obtained simultaneously. In addition, a process flow idea to fabricate three-dimensional structure hybrid MOSFETs with tunneling-current side channels and diffusion-current top channel is presented.

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A hybrid fuzzy and neural approach for forecasting the book-to-bill ratio in the semiconductor manufacturing industry

Cited by 16 publications

References 30 publications

A Fuzzy Collaborative Forecasting Approach for Forecasting the Productivity of a Factory

A Fuzzy Collaborative Forecasting Approach for Forecasting the Productivity of a Factory

Disclosure specificity: Evidence from book‐to‐bill ratios

Proposal of tunneling- and diffusion-current hybrid MOSFET: A device simulation study

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