Journal article
The use of Bayesian forecasting to make process adjustments during transitions
European journal of operational research, Vol.130(2), pp.437-448
2001
DOI: 10.1016/S0377-2217(00)00057-6
Abstract
In many manufacturing operations, a system may exhibit dynamic behavior before reaching a steady-state level. This is most frequently associated with a transition in production like a product style change or a grade change. During the transition phase, the output does not respond instantaneously to a change in input. However, there is typically some information about the past transition phase performance available. We develop an adjustment policy for transition periods based on using a Bayesian forecast to incorporate the prior information. We present computational results showing average process improvements under various system and noise disturbance conditions.
Details
- Title: Subtitle
- The use of Bayesian forecasting to make process adjustments during transitions
- Creators
- Harriet Black NembhardDavid A Nembhard
- Resource Type
- Journal article
- Publication Details
- European journal of operational research, Vol.130(2), pp.437-448
- Publisher
- Elsevier B.V
- DOI
- 10.1016/S0377-2217(00)00057-6
- ISSN
- 0377-2217
- eISSN
- 1872-6860
- Language
- English
- Date published
- 2001
- Academic Unit
- Engineering Administration; Industrial and Systems Engineering; Business Analytics
- Record Identifier
- 9984121964102771
Metrics
17 Record Views