| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 10321995 | 660811 | 2014 | 16 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												SCOlog: A logic-based approach to analysing supply chain operation dynamics
												
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													مهندسی و علوم پایه
													مهندسی کامپیوتر
													هوش مصنوعی
												
											پیش نمایش صفحه اول مقاله
												 
												چکیده انگلیسی
												In a complex business world, characterised by globalisation and rapid rhythms of change, understanding supply chain (SC) operation dynamics is crucial. This paper describes a logic-based approach to analysing SC operation dynamics, named SCOlog. SC operation is modelled in a declarative fashion and it is simulated following rule-based execution semantics. This approach facilitates the automated explanation of simulated SC operational behaviours and performance. The automated explanation support provided by SCOlog is found to improve the understanding of the domain for non-SCM experts. Furthermore, SCOlog allows for maintainability and reusability.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 41, Issue 1, January 2014, Pages 23-38
											Journal: Expert Systems with Applications - Volume 41, Issue 1, January 2014, Pages 23-38
نویسندگان
												Areti Manataki, Yun-Heh Chen-Burger, Michael Rovatsos,