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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinsoo Park Lee, Haneul Byungdu So Yunbae Kim Kim, Byung H. Yeonjae Chung Keyhoon Ko Jiseok Kang Park, Bum C. |
| Copyright Year | 2014 |
| Description | Author affiliation: Department of Management of Technology, Sungkyunkwan University, Yuljeon, Jangan-gu, Suwon, 440-746, KOREA (Keyhoon Ko; Jiseok Kang) || Samsung Display Co., Ltd, Samsung st.181, Tangjeong-Myeon, Asan-City, Chungcheongnam-Do, 336-841, KOREA (Park, Bum C.) || Department of Management Information Systems, Yongin University, Samga-dong, Cheoin-gu, Yongin-si, 449-714, KOREA (Jinsoo Park) || Department of Industrial Engineering, Sungkyunkwan University, Yuljeon, Jangan-gu, Suwon, 440-746, KOREA (Kim, Byung H.; Yeonjae Chung) |
| Abstract | Diversified and complicated manufacturing sites make optimal scheduling of production lines difficult. Under current manufacturing processes, it is almost impossible for schedulers to consider all the constraints of production processes. A strategy of simulation-based advanced planning and scheduling (APS) is employed to overcome difficulties that interfere with satisfactory on-time delivery and commitment to the current status. In simulation-based scheduling, key performance indices (KPIs) are important for selecting optimal dispatching rules in scheduling. In cases involving complex processes, in which the identification of appropriate KPIs is limited to selection among existing KPIs, KPIs should be chosen and modified carefully to optimize process management and to reflect all of the existing constraints of production. However, the existing methodologies for modifying KPIs are misplaced in complex manufacturing environments such as job-shop processes. We propose a new method to design and select appropriate KPIs that meet the characteristics of any given process, and verify with empirical analysis whether or not the KPIs meet requirements from experts of production lines. |
| Starting Page | 2384 |
| Ending Page | 2395 |
| File Size | 733370 |
| Page Count | 12 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7020082 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling Manufacturing processes Semiconductor device measurement Optimal scheduling |
| Content Type | Text |
| Resource Type | Article |
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