کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
388402 660925 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems
چکیده انگلیسی

This paper addresses the bullwhip effect in a multi-stage supply chain, where all demands, lead times, and ordering quantities are fuzzy. To simulate the bullwhip effect, a modified Hong Fuzzy Time Series is presented by adding a Genetic Algorithm (GA) module for gaining of a window basis. Next, a back propagation neural network is used for defuzzification. The model can forecast the trends in fuzzy data. Then, an agent-based system is developed to minimize the total cost and to reduce the bullwhip effect in supply chains. The system can suggest the reasonable ordering policies. The results show that the propose system is superior than the previous analytical methods in terms of discovering the best available ordering policies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 34, Issue 3, April 2008, Pages 1680–1691
نویسندگان
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