Artificial Bee Colony-Based Assembly Job Shop Scheduling and Intelligent Manufacturing System for Petroleum Equipment

In the intelligent transformation of the global manufacturing industry, petroleum equipment processing is facing problems such as improving efficiency and ensuring quality, and the intelligent development of Manufacturing Execution System is crucial. Based on this, starting from the optimal scheduling algorithm and system architecture design, an intelligent manufacturing system scheme integrating artificial bee colony algorithm was proposed. In this scheme, a mathematical model is constructed, and the artificial bee colony algorithm is used to optimize the scheduling. Design a layered architecture to improve system performance; It has functions such as record rollback, intelligent splitting and dispatching quality inspection, and assembly line planning tree. Practice shows that this solution effectively improves the production efficiency and product quality of petroleum equipment processing, and helps the digital transformation of the industry.