Uncertainty-oriented Workshop Layout and Scheduling Integration Optimization

doi:10.3901/JME.2023.05.235

Abstract

Abstract: According to the uncertainty of manufacturing system and the integration optimization problem of workshop layout and scheduling, the integrated optimization of workshop layout and scheduling under uncertain environment is studied, which realized the efficient and orderly operation of manufacturing system by coupling the uncertain factors in shop floor scheduling. The uncertain factors including the workpiece requirements, processing time and equipment failures are selected, which affecting the integrated optimization of layout and scheduling. An uncertainty-oriented workshop layout scheduling integration optimization model is constructed, which taking the minimum total cost, total completion time and maximum robust indexes in the manufacturing process as the optimization objectives. An algorithm called NSGA-III with improved selection operator (NSGA-III-ISO) is designed, which could enhance the global search capability and stability of the algorithm. At the same time, PBI distance is introduced and the method of determining a minimum is improved. The effectiveness of NSGA-III-ISO is verified by DTLZ series test functions and numerical examples. Finally, the integrated model and the improved algorithm are applied to a workshop layout scheduling engineering example, and the results further verified the validity and feasibility of the model and algorithm.

Key words: uncertainty factors, layout and scheduling integrated optimization modeling, improved NSGA-III algorithm, multi-objective optimization

CLC Number:

TP391

WANG Yaliang, GAO Kanghong, FAN Xinyu, JIN Shousong. Uncertainty-oriented Workshop Layout and Scheduling Integration Optimization[J]. Journal of Mechanical Engineering, 2023, 59(5): 235-246.

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