Abstract
The purpose of this paper is to outline a dynamic (time related) approach to quality control when manufacturing product reliability and post sales product failure costs are considered explicitly in the economic design of quality control samples. A specific curtailed sampling technique is used and optimal samples determined. The optimal quality control sampling plan is calculated analytically by the solution of a stochastic dynamic programming problem. In addition, several numerical examples are resolved. The essential contributions of the paper are two-fold; first in integrating economic considerations related to manufacturing reliability, product reputation and post-sales marketing costs. Second, in outlining a decision theoretic framework which recognizes time as an essential ingredient in planning and integrating quality control in the manufacturing process.
| Original language | English |
|---|---|
| Pages (from-to) | 152-164 |
| Number of pages | 13 |
| Journal | INFOR |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1987 |
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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