Name
Abstract | ||
|---|---|---|
This paper proposes an efficient approach to solve a cross-fab route planning problem for semiconductor wafer manufacturing. A semiconductor company usually adopts a dual-fab strategy. Two fab sites are built neighbor to each other to facilitate capacity-sharing. A product thus may be produced by a cross-fab route; that is, some operations of a product are manufactured in one fab and the other operations in the other fab. This leads to a cross-fab routing planning problem, which involves two decisions-determining the cut-off point of the cross-fab route and the route ratio for each product-in order to maximize the throughput subject a cycle time constraint. A prior study has proposed a method to solve the cross-fab route planning problem; yet it is computationally extensive in solving large scale cases. To alleviate this deficiency, we proposed three enhanced methods. Experiment results show that the best enhanced method could significantly reduce the computational efforts from about 13h to 0.5h, while obtaining a satisfactory solution. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.eswa.2009.02.008 | Expert Syst. Appl. |
Keywords | Field | DocType |
efficient approach,semiconductor wafer manufacturing,semiconductor company,cross-fab routing planning problem,computational effort,fab site,cross-fab route planning problem,cross-fab route,enhanced method,route ratio,cut-off point,linear programming,linear program,cycle time,genetic algorithm | Wafer,Data mining,Mathematical optimization,Route planning,Simulation,Capacity sharing,Computer science,Linear programming,Throughput,Time constraint,Genetic algorithm | Journal |
Volume | Issue | ISSN |
36 | 8 | Expert Systems With Applications |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muh-Cherng Wu | 1 | 227 | 16.58 |
| Chang-Fu Shih | 2 | 1 | 0.38 |
| Chen-Fu Chen | 3 | 16 | 1.69 |