Energy-saving scheduling control method taking equipment maintenance into consideration for hybrid flow shop

Abstract

The invention relates to an energy-saving scheduling control method taking equipment maintenance into consideration for a hybrid flow shop. The method comprises the following steps: 1, acquiring a production constraint and solving a target function according to the production characteristics of the hybrid flow shop, introducing an energy consumption target, and establishing a multi-target planningmodel; 2, analyzing the influence of the equipment maintenance on the production scheduling according to maintenance data of equipment, and adding the equipment maintenance as a corresponding constraint condition into the multi-target planning model to form a complete multi-target planning model; 3, performing a coding genetic operation on an actual hybrid flow shop by adopting a GA algorithm toobtain an offspring individual; and 4, performing optimal solving on the complete multi-target planning model by adopting a hybrid algorithm in which a NSGA-II algorithm coordinates with an heuristicalgorithm in conjunction with the offspring individual, and performing scheduling control on the hybrid flow shop according to a finally-obtained optimal solving result. Compared with the prior art, the method has the advantages of high calculating speed, high robustness and the like.

Description

technical field [0001] The invention relates to the technical field of production scheduling control considering equipment maintenance, in particular to an energy-saving scheduling control method for a mixed flow workshop considering equipment maintenance. Background technique [0002] The mixed flow shop problem can generally be described as: a batch of workpieces to be processed are processed through multiple processes in a certain order. The processing process of each workpiece is the same, and each equipment corresponds to a process, but the workpiece can be selected in each process. Different available devices. Under the condition of satisfying the production constraints, some performance indicators can be optimized by rationally arranging the processing sequence of workpieces and equipment selection. This is a class of NP-hard problems. [0003] In the existing research, in the Chinese patent "A hybrid fruit fly algorithm based on dual-objective job shop scheduling" ...

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Problems solved by technology

However, although the above literatures have solved the problem of workpiece scheduling in the flow shop and added the energy consumption target into the production scheduling, in actual production, the performance of the machine will gradually decline as the service time increases, which will not only lead to production delays and energy consumption. Loss will bring potential safety hazards, so the operating state of the equipment has to be considered. However, there are few researches on energy-saving production scheduling methods considering the operating state of the equipment in the literature.

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