PCBA demand forecasting using an evolving Takagi-Sugeno system

M. van Rooijen; R.J. Almeida; U. Kaymak

doi:10.1109/TAAI.2015.7407079

PCBA demand forecasting using an evolving Takagi-Sugeno system

M. van Rooijen, R.J. Almeida, U. Kaymak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

2 Downloads (Pure)

Abstract

This paper investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi-Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on-line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced in the electronic manufacturing (EMS) industry. An eTS fuzzy system is implemented in the R statistical programming language and is tested on both synthetic and real-world data. To our knowledge, this is one of the first applications of an evolving fuzzy system to forecast product demand. The results indicate that the evolving fuzzy system outperforms competing approaches for the application considered.

Original language	English
Title of host publication	TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 20-22 November 2015, Tainan, Taiwan
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	105-112
Number of pages	8
ISBN (Print)	978-1-4673-9606-6
DOIs	https://doi.org/10.1109/TAAI.2015.7407079
Publication status	Published - 12 Feb 2016
Event	Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan Duration: 20 Nov 2015 → 22 Nov 2015

Conference

Conference	Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015
Country/Territory	Taiwan
City	Tainan
Period	20/11/15 → 22/11/15

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10.1109/TAAI.2015.7407079

Cite this

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title = "PCBA demand forecasting using an evolving Takagi-Sugeno system",

abstract = "This paper investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi-Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on-line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced in the electronic manufacturing (EMS) industry. An eTS fuzzy system is implemented in the R statistical programming language and is tested on both synthetic and real-world data. To our knowledge, this is one of the first applications of an evolving fuzzy system to forecast product demand. The results indicate that the evolving fuzzy system outperforms competing approaches for the application considered.",

author = "{van Rooijen}, M. and R.J. Almeida and U. Kaymak",

year = "2016",

month = feb,

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doi = "10.1109/TAAI.2015.7407079",

language = "English",

isbn = "978-1-4673-9606-6",

pages = "105--112",

booktitle = "TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 20-22 November 2015, Tainan, Taiwan",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015 ; Conference date: 20-11-2015 Through 22-11-2015",

}

van Rooijen, M, Almeida, RJ & Kaymak, U 2016, PCBA demand forecasting using an evolving Takagi-Sugeno system. in TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 20-22 November 2015, Tainan, Taiwan., 7407079, Institute of Electrical and Electronics Engineers, Piscataway, pp. 105-112, Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015, Tainan, Taiwan, 20/11/15. https://doi.org/10.1109/TAAI.2015.7407079

PCBA demand forecasting using an evolving Takagi-Sugeno system. / van Rooijen, M.; Almeida, R.J.; Kaymak, U.
TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 20-22 November 2015, Tainan, Taiwan. Piscataway: Institute of Electrical and Electronics Engineers, 2016. p. 105-112 7407079.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N2 - This paper investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi-Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on-line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced in the electronic manufacturing (EMS) industry. An eTS fuzzy system is implemented in the R statistical programming language and is tested on both synthetic and real-world data. To our knowledge, this is one of the first applications of an evolving fuzzy system to forecast product demand. The results indicate that the evolving fuzzy system outperforms competing approaches for the application considered.

AB - This paper investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi-Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on-line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced in the electronic manufacturing (EMS) industry. An eTS fuzzy system is implemented in the R statistical programming language and is tested on both synthetic and real-world data. To our knowledge, this is one of the first applications of an evolving fuzzy system to forecast product demand. The results indicate that the evolving fuzzy system outperforms competing approaches for the application considered.

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PCBA demand forecasting using an evolving Takagi-Sugeno system

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