An Evolutionary-Based Optimization for a Multi-Objective Blood Banking Supply Chain Model
學年 102
學期 2
出版（發表）日期 2014-06-01
作品名稱 An Evolutionary-Based Optimization for a Multi-Objective Blood Banking Supply Chain Model
作品名稱（其他語言）
著者 Chia-Lin Hsieh
單位
出版者
著錄名稱、卷期、頁數 Lecture Notes in Artificial Intelligence: Modern Advances in Applied Intelligence 8481, p.511-520
摘要 The study is focused both on the Location-Allocation Problem and the inventory control problem for a blood banking supply chain. We consider a two-echelon supply chain in which each regional blood center (RBC) sends blood to different CBCs and then delivers it to different allocated hospital blood banks (HBBs). According to the perishable characteristic of blood product, we design a two-staged approach including two models. In strategic stage, we propose model 1 to obtain the location-allocation decisions by determining (a) how many community blood centers (CBCs) should be in an area and (b) where they should be located and (c) which services should be assigned to which CBCs. In tactic stage, we implement model 2 to acquire the inventory control decisions of the optimal blood replenishment quantity and the optimal length of blood order cycle for each CBC. In additions, two objectives are used to construct model 1 so as to make the total supply chain cost the smallest and responsiveness level the biggest, not just a single objective. To solve this multiple objectives programming problem, we use a non-dominated Sorting Genetic Algorithm II (NSGA-II) to search for the Pareto set. MATLAB was implemented to solve our established models. Some computational results for the models using the actual data from all Regional Blood Organizations in Taiwan are derived.
關鍵字 Facility location problem;blood banking supply chain;perishable inventory control;multiple objective evolutionary algorithm
語言 en
ISSN 0302-9743
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度 否
國別 DEU
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/119630 )