Abstract
Manufacturing firms routinely commit resources to increase yield rates through product- and process-improvement initiatives. Champions of such yield-improvement projects may assume that stochastically larger yield rates are beneficial. In this note, we show that this need not hold, even when the contingent production lot sizes are chosen optimally. We employ stochastic comparison techniques to show that a yield rate that is smaller in the convex order ensures higher expected profit, and we provide a distribution-free bound on the size of increase in expected profit. We also identify properties of yield-rate distributions that do make stochastically larger yield rates beneficial.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 377-384 |
| Number of pages | 8 |
| Journal | Operations research |
| Volume | 53 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 2005 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Random yield
- Stochastic order relations
Fingerprint
Dive into the research topics of 'Stochastic comparisons in production yield management'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS