摘要
Globalization has driven companies to invest in multi-site production facilities in order to improve service levels and reduce production costs. However, efficient order scheduling schemes are required to balance the load and capacity across the different sites. The present study considers the multi-site production planning problem for a real-world semiconductor wafer ingot-pulling manufacturing company owning five factories in different countries around the world. A two-phase planning model based on a lean-pull strategy is proposed. In the first phase, an available machine sends a request signal to the lean-pull logic to select appropriate orders from the central queue and accumulate them to form a production kanban. In the second phase, the fulfilled orders are assigned to the customers in such a way as to minimize the total shipping cost using a linear programming formulation. The performance of the proposed two-phase lean-pull model is compared with that of the company's existing production planning method under various workload conditions by means of numerical simulations. The results show that the proposed method achieves average improvements in the service level, average cycle time, throughput, machine utilization and profit of 6.03%, 38.48%, 22.52%, 14.26% and 12.48%, respectively. In other words, the efficiency and effectiveness of the proposed methodology are confirmed.
| 原文 | English |
|---|---|
| 頁（從 - 到） | 545-562 |
| 頁數 | 18 |
| 期刊 | Computers and Industrial Engineering |
| 卷 | 125 |
| DOIs | |
| 出版狀態 | Published - 2018 十一月 1 |
指紋
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
引用此文
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Lean-pull strategy for order scheduling problem in a multi-site semiconductor crystal ingot-pulling manufacturing company. / Wang, Peng Sen; Yang, Ta-Ho; Yu, Liang Chiuan.
於: Computers and Industrial Engineering, 卷 125, 01.11.2018, p. 545-562.研究成果: Article
TY - JOUR
T1 - Lean-pull strategy for order scheduling problem in a multi-site semiconductor crystal ingot-pulling manufacturing company
AU - Wang, Peng Sen
AU - Yang, Ta-Ho
AU - Yu, Liang Chiuan
PY - 2018/11/1
Y1 - 2018/11/1
N2 - Globalization has driven companies to invest in multi-site production facilities in order to improve service levels and reduce production costs. However, efficient order scheduling schemes are required to balance the load and capacity across the different sites. The present study considers the multi-site production planning problem for a real-world semiconductor wafer ingot-pulling manufacturing company owning five factories in different countries around the world. A two-phase planning model based on a lean-pull strategy is proposed. In the first phase, an available machine sends a request signal to the lean-pull logic to select appropriate orders from the central queue and accumulate them to form a production kanban. In the second phase, the fulfilled orders are assigned to the customers in such a way as to minimize the total shipping cost using a linear programming formulation. The performance of the proposed two-phase lean-pull model is compared with that of the company's existing production planning method under various workload conditions by means of numerical simulations. The results show that the proposed method achieves average improvements in the service level, average cycle time, throughput, machine utilization and profit of 6.03%, 38.48%, 22.52%, 14.26% and 12.48%, respectively. In other words, the efficiency and effectiveness of the proposed methodology are confirmed.
AB - Globalization has driven companies to invest in multi-site production facilities in order to improve service levels and reduce production costs. However, efficient order scheduling schemes are required to balance the load and capacity across the different sites. The present study considers the multi-site production planning problem for a real-world semiconductor wafer ingot-pulling manufacturing company owning five factories in different countries around the world. A two-phase planning model based on a lean-pull strategy is proposed. In the first phase, an available machine sends a request signal to the lean-pull logic to select appropriate orders from the central queue and accumulate them to form a production kanban. In the second phase, the fulfilled orders are assigned to the customers in such a way as to minimize the total shipping cost using a linear programming formulation. The performance of the proposed two-phase lean-pull model is compared with that of the company's existing production planning method under various workload conditions by means of numerical simulations. The results show that the proposed method achieves average improvements in the service level, average cycle time, throughput, machine utilization and profit of 6.03%, 38.48%, 22.52%, 14.26% and 12.48%, respectively. In other words, the efficiency and effectiveness of the proposed methodology are confirmed.
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U2 - 10.1016/j.cie.2018.03.043
DO - 10.1016/j.cie.2018.03.043
M3 - Article
AN - SCOPUS:85046627105
VL - 125
SP - 545
EP - 562
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
SN - 0360-8352
ER -