Management Suggestions for Process Control of Semiconductor Manufacturing: An Operations Research and Data Science Perspective

Khakifirooz, Marzieh; Fathi, Mahdi; Chien, Chen Fu; Pardalos, Pãnos M.

doi:10.1007/978-3-030-25446-9_11

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2021

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Cited by 2 publications

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“…This paper will help DMs in Industry 4.0 represent their objective function based on different GO techniques, such as Kolmogorov's superposition and DC programming, which can be solved separately. Finally, Khakifirooz, Pardalos, et al (2018) and Khakifirooz, Chien, et al (2018) reported that applications of nonconvex optimization in decision support system development for smart manufacturing and Industry 4.0 can be a challenging direction for future research.…”

Section: Discussionmentioning

confidence: 99%

A discussion of objective function representation methods in global optimization

Pardalos¹,

Fathi²

2018

Front. Eng

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Non-convex optimization can be found in several smart manufacturing systems. This paper presents a short review on global optimization (GO) methods. We examine decomposition techniques and classify GO problems on the basis of objective function representation and decomposition techniques. We then explain Kolmogorov's superposition and its application in GO. Finally, we conclude the paper by exploring the importance of objective function representation in integrated artificial intelligence, optimization, and decision support systems in smart manufacturing and Industry 4.0.

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Section: Discussionmentioning

confidence: 99%