Forward FAB Scheduling based on Backward Pegging

Alternative Title
Forward FAB Scheduling based on Backward Pegging
Author(s)
안의국
Alternative Author(s)
Euikoog An
Advisor
박상철
Department
일반대학원 산업공학과
Publisher
The Graduate School, Ajou University
Publication Year
2015-08
Language
eng
Keyword
SchedulingSimulationFABBackward Pegging
Alternative Abstract
Semiconductor industries have expanded the area of technology, capital collective high-values-added industries. Many these companies have invested to the area of facilities technologies and production technologies, and actively conducted related experiments for improving the market shares. They have tried also to strengthen the competitiveness into related industries. However, these industries need high initial invest funds, have short period of new products, and are complex and difficult. Due to long time of process, the difficult large-scale facility investment funds of production management are necessary, and production operations are in the cart. Thus, one of way to keep competitiveness in the global market is to response quickly to their customers, improve production, and reduce its cost. The way’s plans and schedules have significant issues. For solving these matters, these industries have tried to connect with IT technology, but effectively applying into current factories with IT technology is not simple and easy works. Therefore, the subjects, which are main process of these industries, are reflected individuals characteristics within these processes, and need the scheduling systems are available in the current conditions This study proposes the scheduling system based on simulation for effective production management of semiconductor industry. ‘Fronted, Backend, Wafer Preparation’ of main process of semiconductor’s production are induced into scheduling system. This system is introduced as framework. This analyzes individual production processes, understand main management sources are required for scheduling, and suggested algorism for solving of each sources in management.
URI
https://dspace.ajou.ac.kr/handle/2018.oak/10936
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Special Graduate Schools > Graduate School of Science and Technology > Department of Industrial Engineering > 4. Theses(Ph.D)
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