This paper presents simple analytic rules for PID controller tuning, aiming to achieve good closed-loop behavior. The starting point is the IMC-PID tuning rules, which have been widely accepted in industry. The integral term rule has been modified to improve disturbance rejection for integrating processes. A single tuning rule is proposed for both first-order and second-order time delay models. Simple analytic rules for model reduction are also presented, including the "half rule" for obtaining the effective time delay. The tuning procedure consists of two steps: first, obtain a first- or second-order plus delay model using the half rule; second, derive model-based controller settings. The proposed tuning rules are evaluated for various processes, showing robustness and good performance. Compared with other tuning methods, the SIMC tuning rules provide a balance between fast response and robustness, with smoother input usage and better disturbance rejection. The paper also discusses detuning the controller, measurement noise considerations, and the transformation of settings for the ideal form PID controller. Overall, the SIMC tuning rules offer a simple and effective approach to PID controller tuning in process control applications.This paper presents simple analytic rules for PID controller tuning, aiming to achieve good closed-loop behavior. The starting point is the IMC-PID tuning rules, which have been widely accepted in industry. The integral term rule has been modified to improve disturbance rejection for integrating processes. A single tuning rule is proposed for both first-order and second-order time delay models. Simple analytic rules for model reduction are also presented, including the "half rule" for obtaining the effective time delay. The tuning procedure consists of two steps: first, obtain a first- or second-order plus delay model using the half rule; second, derive model-based controller settings. The proposed tuning rules are evaluated for various processes, showing robustness and good performance. Compared with other tuning methods, the SIMC tuning rules provide a balance between fast response and robustness, with smoother input usage and better disturbance rejection. The paper also discusses detuning the controller, measurement noise considerations, and the transformation of settings for the ideal form PID controller. Overall, the SIMC tuning rules offer a simple and effective approach to PID controller tuning in process control applications.