@article{oai:oiu.repo.nii.ac.jp:00000102,
 author = {安高, 真一郎 and アタカ, シンイチロウ and Ataka, Shinichiro},
 issue = {3},
 journal = {国際研究論叢 : 大阪国際大学紀要, OIU journal of international studies},
 month = {Mar},
 note = {P(論文), Logistics network design is one of the most important phases in supply chain management (SCM). Transportation problem (TP) is a we11-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, l 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) method called the Boltzmann random key-based GA (Brk-GA).},
 pages = {45--58},
 title = {輸送問題と遺伝的アルゴリズムによる輸送コストマネジメント手法},
 volume = {24},
 year = {2011}
}