A Decision Tool for Quality System Improvement
| Autor: | Samuel Bassetto, L. Picci, Abdallah Ben Mosbah |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021103 operations research
Quality management Operations research Process (engineering) Iterative method Computer science media_common.quotation_subject 05 social sciences Control (management) 0211 other engineering and technologies Probabilistic logic 02 engineering and technology Quality management system Work (electrical) 0502 economics and business Quality (business) 050203 business & management media_common |
| Zdroj: | IEEM |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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