Research Manuscript
Resilient Multi-Echelon FMCG Supply Chain Network Design under Uncertainty
A resilient multi-echelon FMCG supply-chain network design model under supplier and warehouse disruptions, formulated using two-stage stochastic mixed-integer linear programming.
- Authors
- Bhavish Jain, Vijaya Kumar Manupati
Research Problem
Fast-moving consumer goods networks must keep serving demand even when suppliers and warehouses are disrupted. This work formulates a resilient multi-echelon FMCG supply-chain network design model that makes integrated decisions across facility location, production, inventory, transportation, cross-docking, lateral transshipment, capacity loss, and lost sales. The two-stage stochastic programme is solved and validated with a classical and accelerated Benders decomposition scheme, and its computational performance is compared against CPLEX branch-and-cut and classical Benders decomposition.
Methodology
Tools
Current Stage
To be communicated to Transportation Research Part E: Logistics and Transportation Review