Name
Abstract | ||
|---|---|---|
Modelling human interaction and decision-making within a simulation presents a particular challenge. This paper describes a methodology that is being developed known as 'knowledge based improvement'. The purpose of this methodology is to elicit decision-making strategies via a simulation model and to represent them using artificial intelligence techniques. Further to this, having identified an individual's decision-making strategy, the methodology aims to look for improvements in decision-making. The methodology is being tested on unplanned maintenance operations at a Ford engine assembly plant. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1145/564124.564254 | Winter Simulation Conference |
Keywords | Field | DocType |
unplanned maintenance operation,simulation model,ford engine assembly plant,decision-making strategy,particular challenge,human decision,human interaction,artificial intelligence technique,engineering management,artificial intelligent,decision support systems,expert systems,neural nets,artificial intelligence,maintenance engineering,simulation,engines,system testing | Marketing and artificial intelligence,Systems engineering,Intelligent decision support system,Computer science,Expert system,Decision support system,Human interaction,Artificial neural network,Maintenance engineering,Decision engineering | Conference |
ISBN | Citations | PageRank |
0-7803-7309-X | 4 | 1.15 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stewart Robinson | 1 | 583 | 50.51 |
| Thanos Alifantis | 2 | 5 | 1.52 |
| Robert Hurrion | 3 | 4 | 1.49 |
| John Ladbrook | 4 | 99 | 11.16 |
| John S. Edwards | 5 | 155 | 15.52 |
| Tony Waller | 6 | 4 | 1.15 |