Intelligent modularization method for product structure

Abstract

The invention discloses an intelligent modularization method for a product structure. The method comprises the following steps that: firstly, comprehensively considering a functional structure relationship among parts to obtain a numerical product structure DSM (Digital Surface Model); applying a genetic algorithm to intelligently search an optimal modularization scheme, and setting a population size, a crossover probability, a mutation probability, a termination algebra and a maximum clustering module number m before the algorithm is carried out; adopting a coding method of an m*n matrix, and carrying out population initialization to obtain a scale required by the population; taking a modularity value as a fitness function, and calculating the fitness values of all individuals; executing a selection operation, a crossover operation and a mutation operation; and after the set termination algebra is achieved, outputting a scheme that a fitness value is highest, and decoding the scheme to a corresponding modularization scheme. When the method is applied, product module division can be more visually and efficiently carried out, operation is more convenient, a model can better reflect engineering practice, a module division result is better, and cluster partitioning computerization is realized.

Description

technical field [0001] The invention designs the intelligent modularization of product structure in product development in the field of mechanical and electronic products. Background technique [0002] Product structure is the core of mechanical and electronic product development, which directly affects the process of product development, the organizational structure of developers and the strategic positioning of products in the market. [0003] With the rapid development of the global economy and the continuous improvement of productivity, the focus of market competition has changed from the past production scale and quality to the individual customization of users; at the same time, customer needs are also developing towards diversification and individualization, and mass customization has become the mainstream production method one. Modular product design strategy is one of the most important technical means in realizing mass customization, and has been widely used in va...

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Problems solved by technology

These methods have realized the module division of the product structure to a certain extent, but there are still the following deficiencies: (1) It is too dependent on the functional structure of the product, and it cannot go on without the premise of the functional structure; (2) It can only be used to develop new products. Due to the modular structure of the product, modular analysis of the existing product structure cannot be carried out; (3) When the number of row elements and column elements in the model is large and the relationship between the row elements and column elements is complicated, the difficulty of row and column transformation and The workload of cluster division and evaluation is greatly increased, and it is difficult to realize module clustering by using a division algorithm based on row-column transformation and cluster evaluation; (4) It is not conducive to introducing intelligent algorithms into the module division of product structure

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