A REACTIVE SCHEDULING APPROACH BASED ON FUZZY INFERENCE FOR HYBRID FLOWSHOP SYSTEMS
| dc.contributor.author | Araz, OU | |
| dc.contributor.author | Eski, O | |
| dc.contributor.author | Araz, C | |
| dc.date.accessioned | 2025-04-10T10:25:51Z | |
| dc.date.available | 2025-04-10T10:25:51Z | |
| dc.description.abstract | Hybrid flowshops consist of multiple production stages each of which has multiple parallel machines. Scheduling of hybrid flowshops is a NP-hard even in its simplest form. The presence of uncertainty in real-world problems forces the decision makers to reconsider their scheduling decisions in reactive manner. In this study, we proposed a proactive-reactive scheduling approach which allows to be changed dispatching rule set applied in time. The methodology consists of three parts: Shop Floor Management system with a triggering mechanism based on fuzzy inference system, performance prediction of the alternative dispatching rule sets based on Taguchi design, simulation, artificial neural networks, and a multi-criteria decision making methodology for determining new scheduling dispatching rule set. The proposed approach is applied on a real world problem from literature and the results are compared with static approach. | |
| dc.identifier.e-issn | 1996-8566 | |
| dc.identifier.issn | 1726-4529 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14701/33564 | |
| dc.language.iso | English | |
| dc.title | A REACTIVE SCHEDULING APPROACH BASED ON FUZZY INFERENCE FOR HYBRID FLOWSHOP SYSTEMS | |
| dc.type | Article |