Assessing robustness of optimization models in forest supply chain management

Abstract

Supply Chain Management in the forest industry has been supported extensively by mean of Optimization models containing several uncertain elements. A robust model should be able to generate robust solutions which remain valid even when data is uncertain, without incurring a considerable lost in revenue. In this work we study factors affecting problem robustness and investigate the impact of this factors in the intertemporal decision process when planning operations in the forest industry.