In this work, we present a new algorithm for solving complex multi-stage optimisation problems involving hard constraints and uncertainties, based on dynamic and multi-parametric programming. Each echelon of the dynamic programming procedure, typically employed in the context of multi-stage optimisation models, is interpreted as a robust multi-parametric optimisation problem, with the present s...

JDMS, Volume 2, Issue 2, April 2005 Pages 87–100 © 2005 The Society for Modeling and Simulation International Traditional multi-echelon inventory and readiness-based models have not fully examined the ability of effective transportation utilization to reduce cost, delay times, and improve readiness in the overall military logistics network. In this paper, we develop a simulation-based methodolo...

We consider a multi-item two-echelon inventory system in which the central warehouse operates under a (Q,R) policy, and each local warehouse implements (S − 1, S) policy. The objective is to find the policy parameters minimizing expected system-wide inventory holding and fixed ordering costs subject to an aggregate mean response time constraint at each facility. We propose a Lagrangian heuristi...

Waste clean-up after a disaster is one of the most critical tasks in response stage management. We develop model to minimise cost and duration waste considering using Temporary Disaster Management Sites (TDWMSs), which can store process before it sent final disposal sites. The problem that arises be seen as Multi-Period Two-echelon Location Routing Problem (MP-2ELRP) main decisions are location...

Fresh products are perishable and fragile, which easily leads to higher inventory costs requires reasonable planning of management. Therefore, it is very important for fresh product supply chain systems have multi-echelon control. However, in past studies, few control models the considered deterioration rate as variable factor. In this paper, on basis considering characteristics products, combi...

closed-loop supply chain network design is a critical issue due to its impact on both economic and environmental performances of the supply chain. in this paper, we address the problem of designing a multi-echelon, multi-product and capacitated closed-loop supply chain network. first, a mixed-integer linear programming formulation is developed to maximize the total profit. the main contribution...