author Jaewon Park 
2nd author / Hyoung-Gon Lee (Presenter) (Dept. of Industrial Engineering, Seoul National University)
/ Jinwoo Park (Dept. of Industrial Engineering, Seoul National University) 
info Date: 2005년 03월 14일 ~ 2005년 03월 15일
City: Seoul
Nation: Korea
Additional Information: 
year 2005 
category IC 
start / end date  
city / nation  
학회 KGW 
keywords wafer fabrication, due-date assignment, neural network 
abstract Assigning due date and delivering timely are an important factor determining the competitive strength of a manufacturing company. Once an order received, we should check the inventory status before anything else. If the stock runs short, we should make the product. In this case, predicting the cycle time of the product is important for the due date assignment.
Due to the complicated process flow of wafer fabrication, distinctive approaches that differ from common scheduling method are required. Especially, more than one thousand different products might be produced simultaneously in wafer fabrication facilities producing multiple product types like ASIC or power semiconductor. Besides, each product type has different process flow and product types and layers that can be processed together in each batch processing equipment are predetermined. Because of Such characteristics, estimating the flow time of each product is very difficult task.
In this study, we propose a method to predict the cycle time and assign the due date as accurately as possible even if the product mix varies continuously. For this, we group the products according to the similarity of process flow and use the information from the groups to predict the cycle time using artificial neural network. The experimental results show that the proposed method is superior to common due date assignment method. 
번호 category 학회 제목 author presenter year
55 IC  AsiaSim  Developing a Practical Machine Scheduler for Worker-Involved Reconfigurable Manufacturing Systems Jinwu Seo    2011 
54 IC  INFORMS-KORMS  Hybrid Algorithms in Integrated Quality Design & Scheduling Jonghan Kim    2000 
53 IC  CIE  Decision support system for preliminary cost estimation with case based reasoning file Jonghan Kim    2004 
52 IC  ICARCV  A Discrete Control Approach to Robotic Cell Operating System Design Jonghun Park    1996 
51 IC  PCM  FMS Scheduling Strategies in a Distributed Coordination Environment Jonghun Park    1996 
50 IC  APIEMS  A genetic algorithm based approach for the periodic vehicle routing problem Joon Yung Moon    2009 
49 IC  APMS  Modeling and optimization of unrelated parallel machine scheduling problem with time-dependent and machine-dependent electricity cost Joon Yung Moon    2011 
48 IC  Asian eBiz  Supplier Responsiveness Metrics for Supplier Selection in a New Product Launch Environment Jungsub Lee    2008 
47 IC  ICPR  A Scheduling Algorithm considering Subcontract cost in MRP Environment Kichang Lee    1997 
46 IC  ICPR  Development of a Decision Support System for the formulation of Manufacturing Kichang Lee    2001 
45 IC  SCSC  Performance Improvement Methodology for a Manufacturing System using Petri Nets and Simulation Analysis Kichang Lee    2002 
44 IC  IFAC on IMS  A Weighted Load Balancing Heuristic that Minimizes Makespan in Alternative Routing and Machine Environment Kidong Kim    1997 
43 IC  APIEMS  A Study on Developing a Scheduling System in Alternative Routing and Machine Environment Kidong Kim    1999 
42 IC  AsiaSim  An Economic Analysis on RFID Impact in Supply Chain Kiheon Nam    2008 
41 IC  AsiaSim  A Study on Simulation Model for Yard Layout Planning in Offshore Plant Industry file Kim Hyun Jun  Kim Hyun Jun  2015 
40 IC  ICRA  An On-Line Production Scheduler using Neural Network and Simulator based on Manufacturing System State file Kitae Kim    2001 
39 IC  PAIS  Knowledge Acquisition using Neural Network and Simulator Kitae Shin    2001 
38 IC  e-Biz  Design of Information System for e-Logistics Kitae Shin    2004 
37 IC  ICCSA  Efficient Mapping Rule of IDEF for UMM Application file Kitae Shin    2005 
36 IC  IEOM  A Real-time Information System Using RFID for Visually Impaired Kyounghwi Tae    2011