Abstract
The purpose of this paper is to establish a linkage between quality control, the production learning process and the firm’s propensity to use quality control under various conditions. A stochastic dynamic programming approach together with a numerical example are used to compute quality control policies and justify the intensive use of quality control in manufacturing.
| Original language | English |
|---|---|
| Pages (from-to) | 362-370 |
| Number of pages | 9 |
| Journal | IIE Transactions (Institute of Industrial Engineers) |
| Volume | 19 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1987 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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