PCBA demand forecasting using an evolving Takagi-Sugeno system

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

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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 languageEnglish
Title of host publicationTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 20-22 November 2015, Tainan, Taiwan
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages105-112
Number of pages8
ISBN (Print)978-1-4673-9606-6
DOIs
Publication statusPublished - 12 Feb 2016
EventConference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
Duration: 20 Nov 201522 Nov 2015

Conference

ConferenceConference on Technologies and Applications of Artificial Intelligence, TAAI 2015
CountryTaiwan
CityTainan
Period20/11/1522/11/15

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