An imperfect rework process in serial multi-echelon logistics inventory model by hybrid algorithm with genetic particle swarm optimization

• Main Authors: TU, YAN-YUN, 涂晏雲
• Other Authors: LIN, CHIH-PING
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/7zhb7r

碩士 === 國立臺北科技大學 === 工業工程與管理系 === 107 === How to response quickly the require of customer and reduce the total cost effectively are major points which managers current should pay attention. In traditional inventory management system, the buyer and vendor only individually determine their optimal inventory lot size but not result in an optimal policy for whole supply chain. Therefore, in this paper proposed a serial multi-echelon logistics inventory model with uncertain delivery lead time and imperfect rework. Because of the joint total cost to being too complicated in this model, these kinds of NP-hard problem should apply heuristic algorithm to solve. In this paper also proposed a hybrid algorithm to deal with complicated joint total cost in this model. Experiment results show that hybrid algorithm be able to solve the multi-echelon inventory problem with rapid and efficient.