Multi-process scheme planning method based on combination weighting method

Abstract

The invention discloses a multi-process scheme planning method based on a combination weighting method. The multi-process scheme planning method comprises the following steps: analyzing various factors influencing the quality of a process scheme, and establishing two layers of evaluating systems; carrying out standardizing treatment on evaluating index data by adopting a subjection function; respectively weighting evaluating indexes by adopting a fuzzy integrated evaluating method and a variation coefficient method based on process knowledge data; in combination with the weighting results of the fuzzy integrated evaluating method and the variation coefficient method, taking minimal sum of weight error squares as a target function, and calculating combination weight by adopting a Lagrangian multiplier method; based on the combination weight, in combination with a gray relative analysis method, according to the design of two layers of evaluating structures, establishing two layers of gray relative analysis models, and selecting an optimal process scheme by correlation degree of candidate process schemes obtained by calculating the models. According to the multi-process scheme planning method disclosed by the invention, the distribution deviation of optimized target weights is reduced, and the performability of the process scheme is improved.

Description

technical field [0001] The invention relates to the mechanical processing industry, in particular to a method for evaluating and selecting the quality of multiple process schemes. Background technique [0002] Process design is an important bridge connecting product structure design and production. In actual production and processing, there is often more than one feasible processing process plan. Multiple reasonable process plans generated by process design can make products according to different manufacturing quality and cost. To meet different requirements under the conditions of production constraints such as production efficiency and efficiency. Therefore, how to quickly and effectively select economical and reasonable process solutions to meet the different needs of customers is of great significance for enterprises to improve production efficiency, reduce production costs, and improve enterprise competitiveness. [0003] The optimization of the process plan itself ha...

AI Technical Summary

Problems solved by technology

At present, many scholars have conducted research on the optimal method of process schemes. Technologies such as fuzzy technology and artificial intelligence have been used in the selection of process schemes, such as analytic hierarchy process, neural network, genetic algorithm, evolutionary algorithm, particle swarm algorithm, ant colony algorithm, etc. Algorithm and data envelopment analysis, etc. These methods are often used alone for program evaluation and have achieved some results, but there are also some shortcomings. For example, when AHP is used alone for process program planning, due to the weight The endowment adopts the mode of scoring by experts, so that the final planning results depend on the experience of experts. Because different experts have inconsistent analysis angles and depths of understanding problems, it often leads to inconsistent results of process planning.

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