Flexible job-shop scheduling multi-objective method

A technology for workshop scheduling and flexible operations, applied in control/regulation systems, instruments, comprehensive factory control, etc., can solve the problems of limited influence of experimental results, lack of theoretical basis for simulation methods, and high cost

Inactive Publication Date: 2015-09-16
QILU UNIV OF TECH
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Problems solved by technology

[0007] Although this type of method can obtain the optimal solution in theory, it can only solve small-scale problems due to its complicated calculation.
[0008] At the same time, the above heuristic methods have the problem of how to determine the appropriate heuristic rules for various decisions and how to implement each heuristic rule at a low level; the simulation-based method lacks theoretical basis,

Method used

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Examples

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Embodiment

[0071] Taking the lifting equipment painting workshop of a heavy machinery group as an example, the multi-objective optimization of flexible workshop scheduling is carried out. The workshop has the main equipment required for coating processing, including pre-treatment devices, cathodic electrophoresis equipment, dryers, grinders, gluing manipulators and online testing equipment. T obtained through the record data and order item table of the operation process and status on a production line in the workshop ijk , C ijk and h i and other parameters, after calculation and processing, the problem of flexible workshop scheduling with 6 workpieces and 10 equipment, and each workpiece has several processes is obtained. The specific workpiece machine information is shown in Table 1, where 1 means occupied and 0 means not used. The index values ​​of processing cost and processing time of different equipment for different processes are shown in Table 2.

[0072] The following table ...

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Abstract

The invention discloses a flexible job-shop scheduling multi-objective method. The specific implementation procedures of the flexible job-shop scheduling multi-objective method are that: establishing a model for a multi-objective flexible job shop; optimizing the model by using an ant colony algorithm, and evaluating the result to check whether the scheme is the optimal scheme; and improving a pheromone updating rule according to the optimal scheme, and increasing convergence rate of the algorithm to obtain a Pareto optimal solution of a multi-objective flexible job shop scheduling problem. Compared with the prior art, the flexible job-shop scheduling multi-objective method effectively reduces workshop production cost, shortens the processing time, improves qualified rate of products, is high in practicability, and is easy to popularize.

Description

technical field [0001] The invention relates to computer integrated manufacturing technology, in particular to a flexible job shop scheduling multi-objective method with strong practicability. Background technique [0002] In the prior art workshop scheduling process, it is difficult to achieve optimal scheduling. Scheduling here refers to the scheduling of production cost, production time and product qualification rate. In actual work, the solution to the scheduling problem can be roughly There are two categories: optimization methods and approximation methods. [0003] 1. Optimization methods include mathematical programming (dynamic programming, integer programming), branch and bound method, Laplace relaxation method, etc. [0004] 2. Approximate optimization methods include heuristic methods, simulation-based methods, graph search methods, heuristic algorithms (genetic algorithm, simulated annealing algorithm, tabu search algorithm, ant colony algorithm, particle swarm ...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41865G05B19/41885G05B2219/34418
Inventor 姜雪松陶巧云赵晶
Owner QILU UNIV OF TECH
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