Abstract
in this paper, a new fuzzy logic-based approach to production scheduling in the presence of uncertain disruptions is presented. The approach is applied to a real-life problem of a pottery company where the uncertain disruption considered is glaze shortage. This disruption is defined by two parameters that are specified imprecisely: number of glaze shortage occurrences and glaze delivery time. They are modelled and combined using standard fuzzy sets and level 2 fuzzy sets, respectively. A predictive schedule is generated in such a way as to absorb the impact of the fuzzy glaze shortage disruption. The schedule performance measure used is makespan. Two measures of predictability are defined: the average deviation and the standard deviation of the completion time of the last job produced on each machine. In order to analyse the performance of the predictive schedule, a new simulation tool FPSSIM is developed and implemented. Various tests carried out show that the predictive schedules have good performance in the presence of uncertain disruptions.
| Original language | English |
|---|---|
| Pages (from-to) | 234-243 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3789 |
| Issue number | 2005 |
| DOIs | |
| Publication status | Published - 2005 |
Bibliographical note
This paper is not available on the repository. This paper was given at the 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005Keywords
- Artificial Intelligence (incl. Robotics)
- Computation by Abstract Devices
- Mathematical Logic and Formal Languages
- Image Processing and Computer Vision