Abstract
In this paper, we consider the model of Rahim and Banerjee (1988) for a process with random linear drift. We present an extension of their model for a process having both upper and lower specification limits. The model finds the optimal initial setting of the process mean and the optimal cycle length. We use Hooke and Jeeves search algorithm to optimize the model, and provide a numerical example.
| Original language | English |
|---|---|
| Pages (from-to) | 265-280 |
| Number of pages | 16 |
| Journal | International Journal of Production Economics |
| Volume | 53 |
| Issue number | 3 |
| DOIs | |
| State | Published - 4 Dec 1997 |
Keywords
- Hooke and Jeeves search algorithm
- Process optimization
- Production cycle length
- Random linear drift
- Tool wear
ASJC Scopus subject areas
- General Business, Management and Accounting
- Economics and Econometrics
- Management Science and Operations Research
- Industrial and Manufacturing Engineering