This paper presents a flexible robotic path-planning framework for complex industrial processes. The framework considers the process properties, including process tolerances and windows, constraints, and redundant degrees of freedom. By considering the process properties in an optimization-based approach, challenging path-planning problems can be solved which exceed the capabilities of state-of-the-art path planners. The effectiveness of the path planner is validated through two different scenarios: a drawing process and a spraying process. The results demonstrate the ability of the proposed framework to generate feasible trajectories for executing complex industrial processes.