Intelligent Scheduling Method Oriented to Multi-Varieties and Small-Batch Production Mode

Dan Chen Zhou; Liang Zeng

doi:10.4028/www.scientific.net/AMM.263-266.1269

Paper Titles

Design of Full-Color LED Display-Screen System Based on ARM and FPGA
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Remanufacturing Technology Innovation for Second-Hand Computer
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Batch Splitting Activity in Scheduling of Virtual Cell with Capacity Constraints Based on Bi-Level Mathematical Model
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Delay-Dependent Stability Criteria for Systems with Distributed and Interval Time-Varying Delays
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Intelligent Scheduling Method Oriented to Multi-Varieties and Small-Batch Production Mode
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On Robust Stability of Stochastic Systems with Uncertainties and Distributed Time-Varying Delays
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Research of Airfield Lighting Insulation Resistance Prediction Based on Gray System Theory
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GPU Accelerated CFD Simulation in Electronics Cooling
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Study on Method of Autonomous Mobile Robot Integrated Navigation Based on SLAM
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Intelligent Scheduling Method Oriented to...

Intelligent Scheduling Method Oriented to Multi-Varieties and Small-Batch Production Mode

Abstract:

In terms of characteristics of scheduling problem in multi-varieties and small-batch production mode, three additional constraint conditions including combination constraint, priority scheduling and machine load balance are supplemented based on classical Job-shop scheduling model in order to reflect the actual scheduling activities better. An improved genetic annealing algorithm is proposed aiming at the above model, and the requirement of supplemented constraint conditions is satisfied by means of improving the decoding process of chromosomes. The key technologies of algorithm are discussed in detail. The feasibility and validity of the proposed model and algorithm is demonstrated through simulated computation.