supply chain network. Merging supply chain and internet is a key area of concern for contemporary managers and researchers. They have realized that the internet can enhance SCM by making real time information available and enabling collaboration between trading partners. Here, we propose a multi-agent information system to cluster the elements of a supply network based on the similarity in information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. We apply intelligent agents as decision aids in different layers of our supply network. The proposed agents measure and record the performance flow of elements considering their web interactions.
کلید واژگان :Electronic supply chain (e-SCM); Clustering; Information system; Intelligent agents.
ارزش ریالی : 300000 ریال
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جزئیات مقاله
- کد شناسه : 3148586613444793
- سال انتشار : 2010
- نوع مقاله : پذیرفته شده در سایر مجلات علمی معتبر و علمی مروری و ISC
- زبان : انگلیسی
- محل پذیرش : International Journal of Systems Control
- برگزار کنندگان :
- ISSN :
- تاریخ ثبت : 1395/11/12 16:05:34
- ثبت کننده : حامد فضل الله تبار
- تعداد بازدید : 186
- تعداد فروش : 0