This work presents Aggregate Production planning (APP) in fuzzy environment for paint industry. In real-world APP problems, input data or parameters, such as demand, resources, costs are fuzzy / imprecise in nature because some information is incomplete or unobtainable. This study applying Possibilistic Linear Programming (PLP) to solve multi- product and multi- period APP problem with fuzzy / imprecise objective and cost coefficients by triangular possibility distributions under uncertainty. The APP model designed to minimize total production costs, while considering inventory level, labor levels, and machine capacity. The model provides a systematic framework that help decision- making to solve APP problems under fuzzy environment, and help decision maker (DM) to modify the the data until a set of satisfactory solution is obtain.