The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory

A novel mathematical model for a multi-period, multi-product optimal ordering problem considering expiry dates in a FEFO system

“…it is definitely not final and the path is still open for further research in the following respects: (i) extending the mathematical model for uncertain conditions (e.g. stochastic demands (Govindan, 2015;Soleimani and Govindan, 2014)) by applying uncertain approaches such as stochastic programming (Soleimani and Govindan, 2014), fuzzy programming, and robust optimization (Lalmazloumian et al, 2016); (ii) considering the total profit maximization by determining joint pricing and ordering decisions simultaneously. As well, in the case of fashion products, the selling price may be marked down by approaching to the end of the planning horizon.…”

Dynamic supply chain network design with capacity planning and multi-period pricing

“…Therefore, a regional pricing strategy can be extended in which cannibalization and arbitrage opportunities are taken into account. Moreover, an interesting extension would be to consider stochastic components (Govindan, 2015) in price-demand relationships of customer zones. 2 0 3 3 3 i3 3 3 0 3 3 i4 2 3 3 0 3 i5 2 3 3 3 0 A.3.…”

Partially Smoothing and Gradient-Based Algorithm for Optimizing the VMI System with Competitive Retailers under Random Demands

“…Since no practical constraint was considered and the demand does not depend on the retailing price, an optimal solution of the model was analytically derived in [31]. Govindan [32] studied a model of minimizing the total cost of VMI system with one vendor and multiple retailers under time-varying stochastic demand. Huang et al [33] considered that the stochastic demand depends on product quality level and marketing effort level.…”