Masoumeh Kazemi Zanjani

TL;DR: In this article, a multi-product, multi-period production planning problem with uncertainty in the quality of raw materials and consequently in processes yields, as well as uncertainty in products demands is studied.

TL;DR: The implementation results of the proposed approach for a realistic-scale sawmill example highlights the significance of using robust optimization in generating more robust production plans in the uncertain environments compared with stochastic programming.

TL;DR: Numerical results indicate that the scenario reduction algorithm provides good quality solutions to the stochastic problem in a reasonable amount of time through applying the enhanced L-shaped method.

TL;DR: This article proposes a mixed-integer programming model based on a generic disassembly tree where the number of each sub-assembly depends on the quality status of the return stream and presents a Benders decomposition-based solution algorithm for this problem.

TL;DR: In this paper, the authors explore the role of providing incentives to customers in order to facilitate leftover returns and improve the sustainability for a real pharmaceutical reverse supply chain (RSC), and investigate the effect of having a proper coordination method between a producer of medications and third-party logistics (3PL) companies, responsible for collecting unwanted medications from customer zones.