Optimal Decision-making for Production Processes Based on Goal Programming Algorithm

Quality inspection is the focus of global attention, related to the survival and development of enterprises. Focusing on the problem of product quality inspection, this paper proposes to design a reasonable sampling inspection scheme for enterprises under given conditions and formulate an optimal production inspection scheme in the industrial process of multi-process and multi-parts to maximize profits. By establishing Bayesian optimization model, quantifying decision variables and adopting goal planning algorithm, the optimal decision scheme under complex production environment is solved. However, in order to improve the applicability and accuracy of the model, the subsequent work should also include the dynamic assessment of the disassembled parts, and the dynamic adjustment of the market price and compensation. What’s more, this model has a wide range of applicability and can help manufacturers in different fields to improve production efficiency and product quality while reducing production costs.