著者

安高 真一郎 アタカ シンイチロウ Shinichiro Ataka

雑誌

国際研究論叢 : 大阪国際大学紀要 = OIU journal of international studies

巻号頁・発行日

vol.24, no.3, pp.45-58, 2011-03-31

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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).