Transactions of Nanjing University of Aeronautics & Astronautics
Review on Multi-objective Dynamic Scheduling Methods for Flexible Job Shops and Application in Aviation Manufacturing
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Abstract:
Intelligent production is an important development direction in intelligent manufacturing， with intelligent factories playing a crucial role in promoting intelligent production. Flexible job shops， as the main form of intelligent factories， constantly face dynamic disturbances during the production process， including machine failures and urgent orders. This paper discusses the basic models and research methods of job shop scheduling， emphasizing the important role of dynamic job shop scheduling and its response schemes in future research. A multi-objective flexible job shop dynamic scheduling mathematical model is established， highlighting its complex and multi-constraint characteristics under different interferences. A classification discussion is conducted on the dynamic response methods and optimization objectives under machine failures， emergency orders， fuzzy completion times， and mixed dynamic events. The development process of traditional scheduling rules and intelligent methods in dynamic scheduling are also analyzed. Finally， based on the current development status of job shop scheduling and the requirements of intelligent manufacturing， the future development trends of dynamic scheduling in flexible job shops are proposed.
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Project Supported:
This work was supported by the National Key Research and Development Program Project （No.2021YFB3301300）.
Clc Number:
TP278
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