To cope with current turbulent market demands, more robust inventory policies are needed for distribution networks, to lower the inventory cost as well as maintain high responsiveness. This paper analyzes the inventory policies in the context of complex multiechelon distribution networks and proposes an optimization and simulation integrating approach to robust inventory policies selection for ...

Bi-objective optimization of a multi-product multi-period three-echelon supply-chain-network problem is aimed in this paper. The network consists of manufacturing plants, distribution centers (DCs), and customer nodes. To bring the problem closer to reality, the majority of the parameters in this network including fixed and variable costs, customer demand, available production time, set-up and ...

We integrate production and distribution decisions in a recovery planning model for a disrupted production system to minimize the negative impacts of disruption on its profit and customers' satisfaction. The problem is originally motivated by the real-life case of an explosion disaster occurred in September 2015 in a leading producer of household consumer goods in Iran. Multiple recovery polici...

This paper proposes a new heuristicmethod for the logistics network design and planning problem based on linear relaxation and DC (difference of convex functions) programming. We consider a multi-period, multi-echelon,multi-commodity andmulti-product problemdefined as a large scalemixed integer linear programming (MILP) model. The method is experimented on data sets of various size. The numeric...

a comprehensive and integrated study of any supply chain (sc) environment is a vital requirement that can create various advantages for the sc owners. this consideration causes productive managing of the sc through its whole wide components from upstream suppliers to downstream retailers and customers.  on this issue, despite many valuable studies reported in the current literature, considerabl...

Mitigating the bullwhip effect is one of crucial problems in supply chain management. In this research, centralized and decentralized model predictive control strategies are applied to control inventory positions and to reduce the bullwhip effect in a benchmark four-echelon supply chain. The supply chain under consideration is described by discrete dynamic models characterized by balance equati...

This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous ...