Name
Abstract | ||
|---|---|---|
Any quality process has some weaknesses, and let non-conformities run through production process. Sometimes it reaches the final customer. Organizations give their operational managers the mission to improve the quality system in order to minimize the risk of delivering non-conform products to customers. In this work, a decision tool is developed and presented to determine how to improve an existing quality control process. Firstly, a probabilistic modeling of the propagation of non-conformities is proposed and used to evaluate the Average Outgoing Quality (AOQ). Then, an iterative method is presented, based on the AOQ estimation, aimed to determine the most profitable improvements to perform. The proposed method help managers to reach their global quality target by guiding the improvement process. The proposed tool determines which particular control operation should be improved for maximizing the impact on the Average Outgoing Quality. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IEEM44572.2019.8978599 | 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
Keywords | Field | DocType |
quality control,quality improvement,control allocation | Quality management system,Systems engineering,Iterative method,Decision tool,Scheduling (production processes),Probabilistic logic,Engineering,Quality management,Reliability engineering | Conference |
ISSN | ISBN | Citations |
2157-3611 | 978-1-7281-3805-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Picci | 1 | 0 | 0.34 |
| Abdallah Ben Mosbah | 2 | 0 | 0.34 |
| Samuel Bassetto | 3 | 0 | 0.34 |