Solving The Equilibrium of Supply Chain By Multi-Agents Using Gene Algorithm.

• Main Authors: Hao-wei Huang, 黃浩威
• Other Authors: 蔡坤穆
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/86495401601767577023

碩士 === 國立高雄第一科技大學 === 運輸倉儲營運所 === 93 === The development of supply chain is recently coming forth globalization which is composed large complected network structure, the relation between business is not limited in same geographic area, more concern on globe macroscale. It is more difficult how to allocate resource and distribute product to achieve the most utility, equity and efficiency under limited resource. Hence, the members of supply chain have to make reasonable decision according as time and space. The paper presents dynamic network equilibrium and defines each individual member with clearly information who can focus on network equilibrium in marco supply chain.In other word, to solve the unbalance problem between supply and demand is to realize the effect of distributed order between numbers in macro supply chain via optimal control. For finding the efficiently solution problem, gene algorithm, which can consider the constraint to diminish searching space with optimal searching character is used to find quickly feasible solution. The result of experiment presents the solution equilibrium problem can be solved by multi–agent structure and gene algorithm, even the balance the model of supply and demand in supply chain.