The Construction of Multi-Stage, Multi-Site Capacity Allocation Mechanism for Semiconductor Industry

碩士 === 國立交通大學 === 工業工程與管理系所 === 94 === Facing the growth of semiconductor industry and the increasingly demand, companies began to expand and ally horizontally and vertically in the semiconductor supply chain composed of wafer fabraction, probing, packaging, and final testing. Therefore, the schedul...

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Bibliographic Details
Main Authors: Chi-Yuan Ling, 凌繼遠
Other Authors: Shu-Hsing Chung
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/20485621582736170804
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Summary:碩士 === 國立交通大學 === 工業工程與管理系所 === 94 === Facing the growth of semiconductor industry and the increasingly demand, companies began to expand and ally horizontally and vertically in the semiconductor supply chain composed of wafer fabraction, probing, packaging, and final testing. Therefore, the scheduling problem transformed from simple single-site planning problem into complicate multi-site planning problem. This thesis proposes a multi-stage, multi-site capacity allocation mechanism for semiconductor industry to derive the order delivery schedule, which ensures the sppply chain cycle time and delivery rate of job orders competent, and can be the reference for customer order promising. This mechanism is divided into “multi-stage, multi-site capacity allocation module” and “customer order promising mudule”. The “multi-stage, multi-site capacity allocation module” allocates the job orders to each factory for every stage of semiconductor supply chain. This module is also divided into “multi-stage, multi-site capacity allocation phase” and “sppply chain cycle time testing phase”. The former phase executes these step for every stage of supply chain: 1. capacity demand estimation, 2. rough capacity analysis, 3. multi-site capacity allocation, 4. cycle time testing, 5. job order transferring, and 6. job orders delivery time table arrangement. The latter phase tests the supply chain cycle time of job orders according to the result of the former phase. Then, present a semiconductor supply chain delivery time table. “Customer order promising mudule” aims to rapidly reply coutomers about order accepted or further negotiation needed. Finally, accepted orders be arranged and transformed into job orders. The experimental results showed that both supply chain cycle time and delivery rate of job orders were competent, and semiconductor supply chain delivery time table can be a good reference for customer order promising.