Şen, A.Yaman, H.Güler, K.Körpeoğlu, E.2016-02-082016-02-0820140160-5682http://hdl.handle.net/11693/26444We consider a problem faced by a procurement manager who needs to purchase a large volume of multiple items over multiple periods from multiple suppliers that provide base prices and discounts. Discounts are contingent on meeting various conditions on total volume or spend, and some are tied to future realizations of random events that can be mutually verified. We formulate a scenario-based multi-stage stochastic optimization model that allows us to consider random events such as a drop in price because o. The most favoured customer clauses, a price change i. The spot market or a new discount offer. We propose certainty-equivalent heuristics and evaluat. The regret of using them. We use our model for three bidding events of a large manufacturing company. The results show that considering most favored customer clauses in supplier offers may create substantial savings that may surpas. The savings from regular discount offers.EnglishMulti-stage stochastic programmingPrice uncertaintyQuantity discountSupplier selectionArticle10.1057/jors.2013.1111476-9360