کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8108252 1522216 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Finding a probabilistic approach to analyze lean manufacturing
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Finding a probabilistic approach to analyze lean manufacturing
چکیده انگلیسی
Lean production is a multi-dimensional approach composed of management activities, just-in-time, cellular manufacturing, supplier management, work teams, and quality systems, hence implementing lean production is time consuming and costly. Organizations must be able to measure the success possibility of implementing lean production before embarking on it. In this paper, artificial neural network model has been designed and trained using analytical hierarchy process named A2 which results in measuring the success of lean production implementation in an automobile company by determining the level of leanness. This approach leads to fewer calculations, faster and more accurate decision-making, less complexity, and the ability to analyze a lot of scenarios with only one or few judgments of decision makers while the effect of the subjective opinion of one single decision maker will be avoided. This proposed method is compared with the adaptive analytical hierarchy process approach which is suggested by Lin et al. in 2008 and is named A3. The implementation results show that these two methods are significantly valid for measuring the success of lean manufacturing by determining the level of leanness. Comparison of the two methods shows that although A3 has benefits, it also suffers from limitations, which can be avoided by the A2 model, A2 also improves the time and cost needed for implementing in comparison.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volumes 29–30, July 2012, Pages 73-81
نویسندگان
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