The competition of manufacturing market is becoming increasingly fierce, requiring manufacturing enterprises to enhance cost management, maintain control over production rhythm, improve production efficiency, and ensure timely order delivery to cope with the increasingly complex market environment. This paper proposes a new method for establishing a daily production efficiency monitoring and analysis adjustment process, emphasizing the importance of maintaining the required production efficiency to complete orders on time. The entire process consists of five steps, including: first division function is used to calculate total workload per day and μ per day; Secondly, using queuing theory to control production rhythm and collect various production data; After queuing control, using data envelopment analysis (DEA) to find out production lines with low output efficiency for this day; Afterwards, using fuzzy comprehensive evaluation to analyze and find out the specific factor index of low output efficiency production line; Finally, production adjustment and rectification. The entire process will use MATLAB software's serial command to concatenate the four models. This is a dynamic and repeated process in days. In this paper, the theoretical analysis and software programming simulation of the scheme are carried out to determine its effectiveness and feasibility. The advantage of this system is that it can arrange the daily production according to the actual demand, help the enterprise to deliver the order on time or in advance, at the same time, it can effectively find the link factors that lead to low production efficiency in the production process and make adjustments and rectification.