Research on Decision-making Problems in the Production Process of Enterprises

In modern manufacturing’s end-to-end production system, it is essential not only to take into account the production status of components and the final completion level of products, but also to incorporate the crucial factor of product qualification rate into the scope of consideration for enterprise production. According to consumer demand, the market requires that both the price and quality of finished goods be tested. This necessitates a comprehensive evaluation of whether to carry out various operations on finished products by analyzing cost factors across multiple dimensions - including inspection costs, disassembly costs, and replacement costs. The present study primarily utilizes well‑designed algorithms and fully applies statistical methods such as hypothesis testing, confidence intervals, and rejection regions to derive optimal solutions. These approaches enable the determination of how to inspect components and how to conduct qualification‑rate testing on finished products, thereby helping firms achieve maximum profit. Furthermore, the research takes specific practical conditions into account and proposes targeted, actionable decision schemes. By following these schemes, enterprises can more effectively plan and execute their production and operational activities, enhancing overall efficiency and competitiveness. In summary, integrating component-level inspection strategies with finished‑product qualification assessments within a cost‑benefit analytical framework provides a systematic pathway for manufacturers to align product quality assurance with economic objectives under real‑world constraints. This methodology supports data‑driven decision making and facilitates sustainable growth in increasingly demanding markets. 在现代制造业全流程生产体系中，不仅需要考虑零配件的生产状况以及产品最终的完成度情况，还必须要把产品的合格率这一关键因素纳入考量范围来进行企业生产。根据消费者的需求市场需要对成品的价格以及质量进行测试，通过分析检测成本、拆卸成本、调换成本等多个不同维度的成本因素来权衡是否对成品进行各种操作。本研究主要是借助合理的算法，充分运用假设性检验、置信区间、拒绝域等得出最优结果，得到如何对零配件进行检测以及对成品进行合格率测试来使企业获得最大利润。与此同时，本研究还会结合具体的实际情况，给出具有针对性和可操作性的决策方案，以便企业能够根据这些方案更好地开展生产和经营活动。