Multi-objective evolutionary approach for supply chain network design problem within online customer consideration
學年 105
學期 1
出版（發表）日期 2017-01-05
作品名稱 Multi-objective evolutionary approach for supply chain network design problem within online customer consideration
作品名稱（其他語言）
著者 Shu-Hsien Liao; Chia-Lin Hsieh; Wei-Chung Ho
單位
出版者
著錄名稱、卷期、頁數 RAIRO Operations Research 51(1), p.135-155
摘要 Supply chain network design is one of the most important strategic decisions that need to be optimized for long-term efficiency. Critical decisions include facility location, inventory, and transportation issues. This study proposes that with a dual-channel supply chain network design model, the traditional location-inventory problem should be extended to consider the vast amount of online customers at the strategic level, since the problem usually involves multiple and conflicting objectives. Therefore, a multi-objective dual-channel supply chain network model involving three conflicting objectives is initially proposed to allow a comprehensive trade-off evaluation. In addition to the typical costs associated with facility operation and transportation, we explicitly consider the pivotal online customer service rate between the distribution centers (DCs) and their assigned customers. This study proposes a heuristic solution scheme to resolve this multi-objective programming problem, by integrating genetic algorithms, a clustering analysis, a Non-dominated Sorting Genetic Algorithm II (NSGA-II), and a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Several experiments are simulated to demonstrate the possibility and efficacy of the proposed approach. A scenario analysis is conducted to understand the model’s performance.
關鍵字 Supply chain network design;location inventory problem;dual channel;multi-objective programming;evolutionary computation
語言 en
ISSN 1290-3868
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 FRA
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/987654321/119629 )