Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2017
Öğrenci: KADİR BİÇE
Danışman: SAKİNE BATUN
Özet:In this study,we focus o na closed-loop supply chain(CLSC) network design problem in the presence of uncertainty in demand quantities, return rates, and quality of the returned products. We formulate the problem as a two-stagestochastic mixed-integer program that maximizes the total expected profit. The first-stage decisions in our model are facility location and capacity decisions,and the second-stage decisions are production quantities and the forward/backward flows on the network. We solve the problem by using the L-shaped method in iterative and branch-and-cut frameworks. In order to improve the computational efficiency, we consider various strategies such as adding mean-value cuts to the restricted master problem and generating multiple cuts instead of a single cut a teach iteration or a teach integer feasible solution. We use our numerical results to estimate the value of th estochastic solution and the expected value of perfect information in different problem settings.