Models for automated search for rational assembly options for mechanical engineering products
Abstract
This paper solves the problem of modeling rational assembly options for mechanical engineering products. The proposed mathematical models allow us to formalize the task at hand, taking into account the structure and technological patterns of products that affect the assembly sequence. Thanks to mathematical models built based on situational modeling, matrix theory, and graphs, the possibility of compact storage and convenient operation of input data is provided, combined with the mathematical compatibility of synthesizing assembly options. The method presented in this paper is based on ranking rules that consider the design and technological features of the assembly process. The advantage of this method is that it searches for assembly options that are rational in terms of time duration. This is achieved by optimally dividing the product structure into independent assembly units that can be assembled simultaneously, minimizing the number of assembly positions, and implementing assembly operations in parallel. Based on this method, an algorithm is developed aimed at computer implementation of automated search for rational assembly options for mechanical engineering products
References
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