In this paper we consider the complete supply chain for a large pulp producer in Sweden. The supply chain is divided up in two parts, the pulp production planning problem and the distribution to customers problem. We focus on the overall problem and the interaction between the partial problems and discuss how to solve these simultaneously in a supply chain logistic support system. We have modeled the partial problems as mixed integer optimization models and use specialized solution methods for each problem. The models become large scaled when we consider a realistic time horizon. We therefore use flexible ways to aggregate time periods to find good solutions within reasonable time limits.