中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Complexity analysis of manufacturing service ecosystem: a mapping-based computational experiment approach

文献类型：期刊论文

作者Xiao, Xue1,2; Wang, Shufang3; Zhang, Lejun4; Qin, Cheng-zhi5,6
刊名INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
出版日期2019-01-17
卷号57期号:2页码:357-378
关键词manufacturing service ecosystem (MSE) model mapping competition and cooperation computational experiment ecosystem evolution
ISSN号0020-7543
DOI10.1080/00207543.2018.1430906
通讯作者Xiao, Xue(jzxuexiao@126.com) ; Zhang, Lejun(zhanglejun@yzu.edu.cn)
英文摘要The trend of servitisation is increasingly affecting manufacturing enterprises. Traditional manufacturing enterprises cannot handle the related challenges of service innovation by themselves. Recently, manufacturing service ecosystem (MSE) has been proposed to support service innovation by facilitating collaboration. The construction and development of MSE need to handle a series of complexities, such as individual complexity, interaction complexity and ecological complexity. However, it is still very difficult to clearly identify the possible effect of various influence factors on MSE evolution, which is necessary analyse the complex dynamic interactive relationship among participants, so as to maintain the sustainable and healthy development of MSE. To change such a situation, this paper proposes a mapping-based computational experiment approach to analyse the evolution of MSE. This approach has three main parts, i.e. model construction of real world, model mapping of computational system and experiment evaluation of various factors of MSE evolution. By adopting the proposed approach, several case studies are conducted to investigate the possible effect of cooperation preference on the MSE evolution in various market environments. The results demonstrate that the proposed approach is effective.
WOS关键词SIMULATION
资助项目National Natural Science Foundation of China[61175066] ; National Natural Science Foundation of China[61379126] ; National Natural Science Foundation of China[41701133] ; Program for Science & Technology Innovation Talents of Henan Province[2017JQ0008] ; Program for Science& Technology Innovation Talents in Universities of Henan Province[2012HASTIT013] ; National Natural Science Foundation of Henan Province[162300410121] ; Key Scientific Research Project in Universities of Henan Province[16A520012]
WOS研究方向Engineering ; Operations Research & Management Science
语种英语
WOS记录号WOS:000457968400003
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China ; Program for Science & Technology Innovation Talents of Henan Province ; Program for Science& Technology Innovation Talents in Universities of Henan Province ; National Natural Science Foundation of Henan Province ; Key Scientific Research Project in Universities of Henan Province
源URL[http://ir.igsnrr.ac.cn/handle/311030/49861]  
专题中国科学院地理科学与资源研究所
通讯作者Xiao, Xue; Zhang, Lejun
作者单位1.Henan Polytech Univ, Sch Comp Sci, Jiaozuo, Peoples R China
2.Nanjing Univ Sci & Technol, Sch Comp Sci, Nanjing, Jiangsu, Peoples R China
3.Henan Polytech Univ, Sch Business Adm, Jiaozuo, Peoples R China
4.Yangzhou Univ, Sch Informat Engn, Yangzhou, Jiangsu, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
6.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Xiao, Xue,Wang, Shufang,Zhang, Lejun,et al. Complexity analysis of manufacturing service ecosystem: a mapping-based computational experiment approach[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2019,57(2):357-378.
APA Xiao, Xue,Wang, Shufang,Zhang, Lejun,&Qin, Cheng-zhi.(2019).Complexity analysis of manufacturing service ecosystem: a mapping-based computational experiment approach.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,57(2),357-378.
MLA Xiao, Xue,et al."Complexity analysis of manufacturing service ecosystem: a mapping-based computational experiment approach".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 57.2(2019):357-378.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。