Cost estimation model for semiconductor hookup construction projects

Chao Pao Wen, Fan Yi Hsiao, Shih Hsu Wang*, Wei-Chih Wang, Wen Der Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Hookup construction is one of the major tasks for a semiconductor facility construction project. The data required for conducting cost estimations of the hookup construction task are often incomplete because the whole project is undertaken in a short time or in a fast-track situation. Consequently, poor cost estimation is very likely resulted. Properly predicting the cost of a hookup construction project is crucial to control the total cost of a whole facility project. Thus, this study proposes a new cost estimation method for semiconductor hookup construction by integrating three existing approaches, including component ratios, fuzzy adaptive learning control network (FALCON), and fast messy genetic algorithm (fmGA). The proposed model is applied to 27 case projects. The results show that the average accuracy rate of the cost estimations for these case projects is around 84.85%. The accuracy rate of the proposed model has increased for about 6.07%~14.83% when comparing to those calculated by the conventional averaging method, the component ratios method and regression analysis method, respectively.

Original languageEnglish
Pages (from-to)273-282
Number of pages10
JournalJournal of the Chinese Institute of Civil and Hydraulic Engineering
Volume25
Issue number4
DOIs
StatePublished - 1 Jan 2013

Keywords

  • Cost estimation
  • Fast messy genetic algorithms (fmGA)
  • Fuzzy adaptive leaning control network (FALCON)
  • Semiconductor hookup construction

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