A Dynamic Programming Approach for Planning Reliability Growth
| Autor: | Thomas K. Keyser, Zhaojun Steven Li, Jian Guo, Lauren Sell |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
021103 operations research Computer science business.industry Process (engineering) 0211 other engineering and technologies 02 engineering and technology Reliability engineering Dynamic programming 020901 industrial engineering & automation Design objective Analytics New product development Design process Duration (project management) business Reliability (statistics) |
| Zdroj: | 2018 Annual Reliability and Maintainability Symposium (RAMS). |
| Popis: | The new product design process usually experiences multiple stages from concept design to detailed design to prototype and design freeze. During this process, various Design for Reliability (DfR) activities such as engineering simulations and physical tests at subsystem and even system levels are to be well planned such that the design objectives for both functionalities and performance of a new design can be realized by the time of mass production. The decision for reliability improvement activities can be the quantity and duration of engineering analytics activities and laboratory tests, and the decision in one of the multiple design stages depends on the decision made in the preceding design stages. Such sequential decision process for reliability growth planning is modeled using a dynamic programming approach. The dynamic programing is formulated to maximize the projected reliability by given time and budget allowed for developing the product. A numerical example of engine development illustrates the application of using dynamic programming for reliability growth planning. |
| Databáze: | OpenAIRE |
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