دانلود مقاله ISI انگلیسی شماره 43591
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل از الگوهای همکاری های علمی در شبکه هم نویسندگی بهینه سازی شبیه سازی زنجیره تامین

عنوان انگلیسی
Analysis of scientific collaboration patterns in the co-authorship network of Simulation–Optimization of supply chains
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
43591 2014 14 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Simulation Modelling Practice and Theory, Volume 46, August 2014, Pages 135–148

ترجمه کلمات کلیدی
بهینه سازی شبیه سازی - تجزیه و تحلیل شبکه - همکاری های علمی - زنجیره تامین
کلمات کلیدی انگلیسی
Simulation Optimization; Network analysis; Scientific collaboration; Supply chain
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل از الگوهای همکاری های علمی در شبکه هم نویسندگی بهینه سازی شبیه سازی زنجیره تامین

چکیده انگلیسی

In the 1970s, a co-authorship network in the field of Simulation Optimization of supply chains was established, supported by local associations. Then, the development of this network was favored by the foundation of new co-authorships and the consolidation of already existing. The purpose of this study is to analyze the structure, collaboration patterns and the time-evolution of the co-authorship network of Simulation Optimization of supply chains. Data are based upon 202 peer-reviewed contributions published from 1970 to August 2012 in relevant journals indexed in the ISI/Web of Science database and International Conferences. The analysis is conducted using exploratory social network analysis technique. Results indicate that the development of knowledge in Simulation Optimization of supply chains has been carried out mainly by 353 authors from 35 countries. Also, there have been proposed over forty Simulation Optimization methods by different authors however the most usual is response surface methodology, followed by gradient based search method and genetic algorithms. In addition, applications of Simulation Optimization methods and techniques are found mainly in areas as health care, management, transport, airline, telecommunications, aerospace, and financial. Although research in Simulation Optimization of supply chains has received much attention by the simulation community, its application in key industries continues to be still small, limiting its support in decision-making.