Mohammad Fattahi

TL;DR: A comprehensive review of studies in the fields of SCND and reverse logistics network design under uncertainty and existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastics, robust optimization, and fuzzy mathematical programming are explored.

TL;DR: A multi-stage stochastic program is developed that can be applied to a multi-period supply chain network design where demands of customers depend on facilities serving them based on their delivery lead-times and disruptions’ effect on facilities’ capacity is modeled.

TL;DR: Computational results on a real-life case study demonstrate the proposed optimization tools’ applicability as well as the effect of disruption risk and sustainability dimensions on biofuel SC planning.

TL;DR: A novel mixed-integer linear programming is developed to consider dynamic pricing approach for used products, forward/reverse logistics network configuration and inventory decisions, concurrently, and Computational results indicate that the effect of a dynamic Pricing for Used products versus a static pricing one, and the linearization of pricing concept for this model have the acceptable solution.

TL;DR: This paper addresses a multi-stage and multi-period supply chain network design problem in which multiple commodities should be produced through different subsequent levels of manufacturing processes, formulated as a two-stage stochastic program under stoChastic and highly time-variable demands.