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 (US) |
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Pages (from-to) | 152-164 |
Number of pages | 13 |
Journal | INFOR: Information Systems and Operational Research |
Volume | 25 |
Issue number | 2 |
DOIs | |
State | Published - 1987 |
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Computer Science Applications