Esmaeil Keyvanshokooh

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 novel hybrid robust-stochastic programming (HRSP) approach to simultaneously model two different types of uncertainties by including stochastic scenarios for transportation costs and polyhedral uncertainty sets for demands and returns is developed.

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: 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: In this paper, a multiple period replenishment problem based on (s, S) policy is investigated for a supply chain (SC) comprising one retailer and one manufacturer with uncertain demand, where mixed-integer linear programming (MILP) models are developed for centralised and decentralised decision-making modes using two-stage stochastic programming.