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) 
presenter  
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
75 IC  GECCO  Solving Multi-level Lot Sizing Problem with Memetic Algorithm based on Refinement Procedure file Haejoong Kim    2006 
74 IC  ISCM  Integrated Models for Multi-level Planning and Scheduling in Supply Chain Haejoong Kim    2006 
73 IC  AsiaSim  A Model and Analysis of the Bullwhip Effect Using a SCOR-based Framework Haejoong Kim    2007 
72 IC  CIE  A batch splitting heuristic for dynamic job shop scheduling problem Hanil Jeong    1996 
71 IC  PCM  An Intelligent Batch Splitting method for Schedule Improvement in MRP Environment Hanil Jeong    1996 
70 IC  APMS  Supply Chain Planning in Open Business Environment based on Business Patterns Hanil Jeong    2010 
69 IC  APMS  A new Approach for finite Capacity Planning in MRP Environment Hongbum Na    2006``` 
68 IC  PLM  Designing Product Platform for Efficient Production Planning Process Hongbum Na    2008 
67 IC  ICPR  A New Scheduling Paradigm Based on Farsighted Indices Hongbum Na    2009 
66 IC  ICPR  A study on scheduling and rescheduling problem of the FMC during transient disturbance period with pallet constraints Hongbum Na    2011 
65 IC  CIE  A decision support model for the initial design of FMS Hosub Shin    1996 
64 IC  IIE  Development of a Grid-Enabled MRP Process in RFID-Based APS Hyoung-Gon Lee    2007 
63 IC  ICPR  A High Performance MRP Part Explosion Process using Computational Grid in a Distributed Database Environment Hyoung-Gon Lee    2007 
62 IC  AsiaSim  The Cost Valuation Model for Reverse Supply Chain Using System Dynamics Hyunjong Jeong    2006 
61 IC  ICUT  A Framework for the Measurement of Supply Chain Performance in Ubiquitous Sensor Network Jaehyun Kong    2007 
» IC  KGW  A study on due-date assignment method in wafer fabrication facility producing multiple product types file Jaewon Park    2005 
59 IC  APMS  Korea Smart Factory Program - Keynote Jinwoo Park  Jinwoo Park  2015 
58 IC  ICPR  The Effect of Enhanced Flexibility in the Reconfigurable Manufacturing Cell Jinwu S    2013 
57 IC  AsiaSim  A Study on the Effects of Highlighted Display on Knowledge Worker Productivity Jinwu Seo    2009 
56 IC  MITIP  Real-time Progress Monitoring System: Application In Block Assembly Shop In Shipyard Jinwu Seo    2011