Fuzzy dynamic-prioritization agent-based system for forecasting job cycle time in a wafer fabrication plant

被引：6

作者：

Chen, Tin-Chih Toly ^{[1
]}

Wang, Yu-Cheng ^{[2
]}

机构：

[1] Natl Yang Min Chiao Tung Univ, Dept Ind Engn & Management, 1001 Univ Rd, Hsinchu, Taiwan

[2] Chaoyang Univ Technol, Dept Aeronaut Engn, Taichung, Taiwan

来源：

COMPLEX & INTELLIGENT SYSTEMS | 2021年 / 7卷 / 04期

关键词：

Cycle time; Fuzzy back propagation network; Agent; Fuzzy weighted intersection; Wafer fabrication; DUE-DATE ASSIGNMENT; BPN APPROACH; PREDICTION; COMBINATION; SIMULATION; NETWORK;

D O I：

10.1007/s40747-021-00327-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A fuzzy dynamic-prioritization agent-based system was developed in this study to improve the forecasting of the cycle time of a job in a wafer fabrication plant (wafer fab). In this system, multiple fuzzy agents forecast the cycle time of a job from various viewpoints, after which the aggregation and evaluation agent aggregates these fuzzy cycle time forecasts using an innovative operator (i.e., the fuzzy weighted intersection) into a single representative value. Subsequently, the optimization agent varies the authority levels of the fuzzy cycle time forecasting agents to optimize the forecasting performance. A practical example was used to evaluate the effectiveness of the fuzzy dynamic-prioritization agent-based system. The experiment results indicated that the fuzzy dynamic-prioritization agent-based system outperformed three rival methods in improving forecasting accuracy. In addition, the forecasting performance could be enhanced by discriminating the authority levels of the fuzzy cycle time forecasting agents.

引用

页码：2141 / 2154

页数：14

共 15 条

[1] Fuzzy dynamic-prioritization agent-based system for forecasting job cycle time in a wafer fabrication plant
Tin-Chih Toly Chen
Yu-Cheng Wang
Complex & Intelligent Systems, 2021, 7 : 2141 - 2154
[2] An effective fuzzy collaborative forecasting approach for predicting the job cycle time in wafer fabrication
Chen, Toly
COMPUTERS & INDUSTRIAL ENGINEERING, 2013, 66 (04) : 834 - 848
[3] Embedding a back propagation network into fuzzy c-means for estimating job cycle time: wafer fabrication as an example
Chen, Toly
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2016, 7 (06) : 789 - 800
[4] Job cycle time estimation in a wafer fabrication factory with a bi-directional classifying fuzzy-neural approach
Chen, Toly
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 56 (9-12) : 1007 - 1018
[5] Big data analytics for forecasting cycle time in semiconductor wafer fabrication system
Wang, Junliang
Zhang, Jie
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2016, 54 (23) : 7231 - 7244
[6] Estimating job cycle time in a wafer fabrication factory: A novel and effective approach based on post-classification
Chen, Toly
APPLIED SOFT COMPUTING, 2016, 40 : 558 - 568
[7] Precise and Accurate Job Cycle Time Forecasting in a Wafer Fabrication Factory with a Fuzzy Data Mining Approach
Chen, Toly
Romanowski, Richard
MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
[8] Job remaining cycle time estimation with a post-classifying fuzzy-neural approach in a wafer fabrication plant: a simulation study
Chen, T.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2009, 223 (08) : 1021 - 1031
[9] A self-adaptive agent-based fuzzy-neural scheduling system for a wafer fabrication factory
Chen, Toly
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (06) : 7158 - 7168
[10] Embedding a back propagation network into fuzzy c-means for estimating job cycle time: wafer fabrication as an example
Toly Chen
Journal of Ambient Intelligence and Humanized Computing, 2016, 7 : 789 - 800

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