Incorporating location, routing, and inventory decisions in a bi-objective supply chain design problem with risk-pooling

Incorporating location, inventory and price decisions into a supply chain distribution network design problem

The goal of this paper is to study a profit-maximization location-inventory problem in a multicommodity supply chain distribution network with price-sensitive demands. The problem determines location, allocation, price and order-size decisions in order to maximize the total profit of serving the customers. The problem is formulated as a mixed-integer nonlinear programming model and solved using...

Optimizing location, routing and inventory decisions in an integrated supply chain network under uncertainty

This study extends a mathematical model that integrates the location, allocation, inventory replenishment and routing decisions simultaneously. To cope with inherent uncertainty of parameters, we implement a continuous-time Markov process and derive the performance measures of the system. Using the obtained results, the problem is formulated as a mixed integer nonlinear programing model (MINLP)...

Efficiency of a multi-objective imperialist competitive algorithm: A bi-objective location-routing-inventory problem with probabilistic routes

An integrated model considers all parameters and elements of different deficiencies in one problem. This paper presents a new integrated model of a supply chain that simultaneously considers facility location, vehicle routing and inventory control problems as well as their interactions in one problem, called location-routing-inventory (LRI) problem. This model also considers stochastic demands ...

Integrated Decisions for Supply Chain Design and Inventory Allocation Problem