Particle swarm optimization manufacturing system double-target production scheduling method based on bionic strategy

A particle swarm optimization, manufacturing system technology, applied in manufacturing computing systems, artificial life, biological models, etc.

Inactive Publication Date: 2019-12-20
HOHAI UNIV CHANGZHOU
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the problem of energy consumption in enterprise scheduling, the present invention proposes a dual-objective function model based on completion time and minimum energy consumption, and solves the optimal scheduling scheme through particle swarm optimization algorithm based on bionic strategy. The swarm optimization algorithm enhances the global search ability of the particle swarm algorithm, and effectively overcomes the premature convergence problem of the particle swarm algorithm

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  • Particle swarm optimization manufacturing system double-target production scheduling method based on bionic strategy
  • Particle swarm optimization manufacturing system double-target production scheduling method based on bionic strategy
  • Particle swarm optimization manufacturing system double-target production scheduling method based on bionic strategy

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Embodiment

[0150] In order to realize the application of the above-mentioned particle swarm optimization algorithm based on the return strategy, the test example is that 10 workpieces need to be processed in a certain workshop. The process route of each workpiece is the same, and the number of machines available for each process is 3. , 2, 4, each machine's spindle speed / rpm, processing time / h, no-load power / KW are not the same. The specific data are shown in Table 1. Now consider the research on energy-saving scheduling in the following three situations.

[0151] Table 1 Processing data of a production workshop in the test case

[0152]

[0153]

[0154] (1) When the target value of the scheduling plan is biased toward the minimum completion time (σ 1 ≥σ 2 ), use MATLAB simulation to run 12 times, and record the optimal solution of the objective function each time. The spatial distribution of completion time and total energy consumption solution set is as follows: figure 2 sh...

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Abstract

The invention discloses a particle swarm optimization manufacturing system double-target production scheduling method based on a bionic strategy, and the method comprises the steps: firstly building amixed flow shop scheduling mathematic model, and determining a scheduling process constraint condition and a target function needing to be solved; proposing particle encoding and decoding based on matrix expression; proposing a speed updating rule based on a hormone regulation mechanism; and proposing a particle swarm optimization algorithm based on a bionic strategy, solving the workshop scheduling model and obtaining a scheduling scheme. The invention provides a particle swarm optimization manufacturing system double-target production scheduling method based on a bionic strategy. Accordingto the system, resource arrangement, capacity balance, quality management, cost and delivery time of enterprises can be controlled, problems on a production line are analyzed and explored, correct technology and management decisions are made for informatization, standardization and automatic construction of the enterprises, and therefore the operation efficiency of the manufacturing enterprises isimproved, and benefits are obtained to the maximum extent.

Description

technical field [0001] The invention relates to a bionic strategy-based particle swarm optimization manufacturing system dual-objective scheduling method, which belongs to the technical field of industrial software operation. Background technique [0002] Due to the shortage of resources and environmental problems brought about by a large amount of energy consumption in the manufacturing process, the environmental problems are increasing day by day. Therefore, higher requirements are put forward for the performance of energy saving and emission reduction in production workshops. It is necessary to achieve energy saving and emission reduction through product redesign, recycling, optimal scheduling, and improvement of equipment utilization efficiency. At present, many researchers have carried out research in this field. in-depth research. [0003] In order to achieve the goal of energy saving and emission reduction, and green manufacturing, various researchers began to study ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06N3/00
CPCG06N3/006G06Q10/04G06Q10/06312G06Q10/067G06Q50/04Y02P90/30
Inventor 顾文斌骆第含刘永杰苑明海李育鑫
Owner HOHAI UNIV CHANGZHOU
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