详细信息

Performance evaluation of supply chain networks with assembly structure under system disruptions  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Performance evaluation of supply chain networks with assembly structure under system disruptions

作者:Wu, Yifan[1];Dong, Ming[2];Fan, Tijun[1];Liu, Shaoxuan[2]

机构:[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China

年份:2012

卷号:39

期号:12

起止页码:3229

外文期刊名:COMPUTERS & OPERATIONS RESEARCH

收录:;EI(收录号:20122715198983);WOS:【SCI-EXPANDED(收录号:WOS:000313379300027)】;

基金:The work presented in this paper has been supported by grants from the National Natural Science Foundation of China (71101051, 70871077, 70871038 and 71102141), the Shanghai Educational Development Foundation (11CG33) and the Fundamental Research Funds for the Central Universities. The authors are grateful to the referees for their constructive comments and suggestions. The presentation of the paper has been significantly improved with their input.

语种:英文

外文关键词:Supply chain networks; Assembly structure; System disruption; Aggregation

摘要:Global supply chain networks (SCNs) with assembly structure are common in industry. System disruptions, due to various causes, can significantly influence the performance of the whole system. Differing from previous studies on supply disruptions, this paper aims to develop a discrete time model, which could describe the characteristics of network-wide system disruptions and provide rapid performance evaluation of SCNs with assembly structure. Considering system disruptions at any stage of the whole system, we develop new iterative methods to obtain the key performance measures of SCNs with assembly structure in both lost sales and backorder scenarios. The proposed methods are verified through a series of numerical experiments. Our results suggest that component suppliers with higher reliability in the downstream stages will deliver better system performance in both lost sales and backorder scenarios. (c) 2012 Elsevier Ltd. All rights reserved.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心