repository
Special Graduate Schools
Graduate School of Science and Technology
Department of Industrial Engineering
4. Theses(Ph.D)
Forward FAB Scheduling based on Backward Pegging
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박상철 | - |
| dc.contributor.author | 안의국 | - |
| dc.date.accessioned | 2018-11-08T08:09:34Z | - |
| dc.date.available | 2018-11-08T08:09:34Z | - |
| dc.date.issued | 2015-08 | - |
| dc.identifier.other | 20471 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/10936 | - |
| dc.description | 학위논문(박사)--아주대학교 일반대학원 :산업공학과,2015. 8 | - |
| dc.description.tableofcontents | Contents I. Introduction 1 1.1. Background and Purpose 1 1.2. Semiconductor Production Flowchart 4 1.3. Forward FAB Scheduling based on Backward Pegging Suggestion 6 1.4. The Structure of this Study 9 II. Frontend 11 2.1. Introduction of Frontend 11 2.1.1. Introduction of Frontend 11 2.1.2. Review of Literature for Frontend 14 2.2. Proposed Dispatching Rules of Frontend 16 2.2.1. Existing Dispatching rules 16 2.2.2. Proposed Dispatching Rules 18 2.2.3. Experiment environment 21 2.2.4. Simulation Results 23 III. Backend 27 3.1. Introduction of Backend 27 3.1.1. Introduction of Backend 27 3.1.2. Review of Literature for Backend 31 3.2. Scheduling Algorithms Suggestion for Backend 33 3.2.1. Algorithms for Package Process 33 3.2.2. Pegging rules for Backend 37 3.2.3. Example for Backend Pegging 41 IV. Wafer Preparation 44 4.1. Introduction of Wafer Preparation 44 4.1.1. Introduction of Wafer Preparation 44 4.1.2. Review of Literature for Wafer Preparation 47 4.1.3. Characteristics of Wafer Preparation 48 4.2. Scheduling Algorithms Suggestion for Wafer Preparation 50 4.2.1. Demand Smoothing rules for Ingot growing 50 4.2.2. Heuristic Algorithms for Ingot growing 55 4.2.3. Genetic Algorithms for Ingot growing 59 4.2.4. Two phase Genetic Algorithms for Ingot growing 68 4.3. Experimental Results 72 V. Result and Future work 82 Bibliography 84 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Forward FAB Scheduling based on Backward Pegging | - |
| dc.title.alternative | Forward FAB Scheduling based on Backward Pegging | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Euikoog An | - |
| dc.contributor.department | 일반대학원 산업공학과 | - |
| dc.date.awarded | 2015. 8 | - |
| dc.description.degree | Doctoral | - |
| dc.identifier.localId | 705689 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000020471 | - |
| dc.subject.keyword | Scheduling | - |
| dc.subject.keyword | Simulation | - |
| dc.subject.keyword | FAB | - |
| dc.subject.keyword | Backward Pegging | - |
| dc.description.alternativeAbstract | 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. | - |
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