An FNLP approach for planning energy-efficient manufacturing: Wafer fabrication as an example

Yi Chi Wang*, Tin Chih Toly Chen

*Corresponding author for this work

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

Energy efficiency is a key manufacturing goal. This paper propose a novel fuzzy nonlinear programming (FNLP) approach to production planning to minimize energy wastage due to poor quality control. Manufacturing is modeled a fuzzy yield learning process to quantify energy savings for each specific product, and these values can be summed to produce total power consumption for the factory. Finally, the proposed FNLP approach formulates and solves a FNLP problem to minimize the total energy consumption in the factory by optimizing the product mix. Some theoretical properties of the proposed FNLP approach are discussed. A wafer fab is used as an example to illustrate the applicability of the proposed FNLP approach, with experimental results showing a potential reduction of 17.2% of total power consumption by optimizing the product mix.

Original languageEnglish
Pages (from-to)439-446
Number of pages8
JournalProcedia Manufacturing
Volume38
DOIs
StatePublished - 1 Jan 2019
Event29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019 - Limerick, Ireland
Duration: 24 Jun 201928 Jun 2019

Keywords

  • Energy efficiency
  • Fuzzy nonlinear programming
  • Power consumption
  • Wafer fab
  • Yield

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