Title :
Schedule optimization using fuzzy inference
Author_Institution :
Fuzzy Technol. & Bus. Promotion Div., Omron Corp., Kyoto, Japan
Abstract :
A scheduling simulator is used for project management and production management. However, because scheduling is a combination optimization problem, a lot of time is necessary to make a schedule which can actually be used. A software module which improved the schedule represented by the Gantt chart was developed. Using fuzzy technology, knowhow to improve the schedule was implemented in this schedule improvement module. To decrease the idle time in the schedule, this module optimized the Gantt chart. For example, the production time was shortened by 10.7% when this module was applied to the job shop scheduling of the machine processing. The production time was shortened by 17.6% when this module was applied to the flow shop scheduling of the part assembly. The knowhow which optimizes the Gantt chart used in this module is general purpose. This software can easily be connected to the schedule simulator. Therefore, this module can be applied to the wide variations of scheduling
Keywords :
fuzzy set theory; inference mechanisms; production control; project management; scheduling; uncertainty handling; Gantt chart; combination optimization problem; flow shop scheduling; fuzzy inference; fuzzy technology; idle time; job shop scheduling; machine processing; part assembly; production management; production time; project management; schedule improvement module; schedule optimization; schedule simulator; scheduling simulator; software module; Assembly; Computational modeling; Fuzzy systems; Job production systems; Job shop scheduling; Optimal scheduling; Optimized production technology; Processor scheduling; Production management; Project management;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.410044