| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322742 | Expert Systems with Applications | 2011 | 7 Pages |
Abstract
⺠We integrate a branch & bound and Lagrangian relaxation model to minimize two major types of inspection errors and their subsequent misclassification penalties for the benefits of both producers and consumers. ⺠The results show the proposed model is effective and computationally feasible when adopted to select the optimal inspection sequence from a group of viable sequences. ⺠This model can be expected to generate significant contributions to both the academic field and the real-world practice of quality control.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
H.Y. Wu, C.L. Chuang, Y.S. Kung, R.H. Lin,