اتوماسيون برنامه ريزي عمليات و الگوريتم هاي ترتيب بهينه عمليات و انتخاب ابزار

Automated Operation Planning and Optimum Operation Sequencing and Tool Selection Algorithms

w volume and high product mix characterize a job shop manufacturing. The CAM software in generating NC programs needs to reduce dependence on human judgment in operation planning in order to be used in low repetitive and high product mix production environments. In this paper a procedure for extracting machining methods for automated operation planning is proposed. Furthermore an optimum operation sequencing and tool selection algorithm is developed in CAM system. Numerical example has been provided and comparisons made with a known algorithm. Results indicate that the algorithms proposed in this research establish automated operation planning with reduced dependence on human judgment. It is also achieved considerable flexibility and adaptability, allowing the users to implement particular manufacturing knowledge of their own and resources available at individual shop sites.