Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach
Computers and Industrial Engineering - Supply chain management
A Price-Directed Approach to Stochastic Inventory/Routing
Operations Research
Decomposition heuristic to minimize total cost in a multi-level supply chain network
Computers and Industrial Engineering
Multi-criteria logistics distribution network design using SAS/OR
Expert Systems with Applications: An International Journal
Integrated multistage logistics network design by using hybrid evolutionary algorithm
Computers and Industrial Engineering
Models for Evaluating and Planning City Logistics Systems
Transportation Science
Dynamic routing under recurrent and non-recurrent congestion using real-time ITS information
Computers and Operations Research
A profit-maximizing supply chain network design model with demand choice flexibility
Operations Research Letters
Expert Systems with Applications: An International Journal
Route planning model of multi-agent system for a supply chain management
Expert Systems with Applications: An International Journal
An integrated supply chain network design problem for bidirectional flows
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
This paper aims to design an optimal logistics network including suppliers and retailers by taking into account the order quantity of products under uncertain consumer demand pattern. This research proposes a mixed-integer bi-level programming model and employs the iterative-optimization method. In the bi-level programming, the upper model is the logistics network design (LND) problem, which is designed for suppliers and consists of the hub locations, wholesale price of the products as well as the transportation flow of the commodity. The lower model is the order quantity determination (OQD) problem for retailers. It processes a special case of inventory problem in which the customer demand is stochastic and follows a series of assumed probability distributions. By applying the proposed methodology in a computational experiment, this research shows that if there were a large number of suppliers in the logistics system, retailers could order the product with relatively low price and the largest profit belongs to the retailer who could sell the commodity at the highest price.