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Journal of System Simulation

Abstract

Abstract: Aiming at the untimely production scheduling and excessive energy consumption during processing, a limited buffer hybrid flow shop scheduling optimization model is constructed. To minimize the makespan and total energy consumption of the workshop, the transport time, generalized energy consumption and buffer capacity being the constraints, and the on/off energy saving strategy applied to reduce the standby energy consumption, the feasibility of the optimization model are verified. A lion swarm optimization algorithm is designed, in which a population initialization method combining random generation and greedy selection is used to improve the initial solution quality and solution efficiency, the lion swarm optimization algorithm superiority is verified. The experimental results show that the algorithm can effectively solve the hybrid flow shop scheduling problem with limited buffer considering energy consumption and transportation time, and the established optimization model can be flexibly adjusted according to the actual needs, in which the purpose of rational production scheduling, energy saving and emission reduction for manufacturing enterprises can be achieved.

First Page

1344

Last Page

1358

CLC

TH186; TP18

Recommended Citation

Wen Tingxin, Guan Tingyu. Hybrid Flow Shop Scheduling with Limited Buffers Considering Energy Consumption and Transportation[J]. Journal of System Simulation, 2024, 36(6): 1344-1358.

Corresponding Author

Guan Tingyu

DOI

10.16182/j.issn1004731x.joss.23-0343

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