Abstract
Logistics network design is one of the most important phases in supply chain management (SCM). Transportation problem (TP) is a well-known basic network model that can be generally defined as a problem to minimize the total delivery cost. However, the concept of inventory is not included in a traditional TP model. Moreover, time concepts, such as carrying costs in a certain period, are not treated. These restrictions on this model profoundly affect the use of the TP model in the real world. In this paper, we formulate a Progressive Flexible Logistics Network Model (PFLN). In this model, 1 year is divided into several terms and the annual demands of delivery centers are satisfied for each term. To solve the problem, we applied an effective Genetic Algorithm (GA).
